TY  - JOUR
AB  - OBJECTIVES: With SARS-CoV-2 evolving, disease severity and presentation have changed due to changes in mechanisms of entry and effector site as well as due to effects of vaccination- and/or infection-acquired immunity. We re-assessed fetal lung pathology in pregnancies with uncomplicated SARS-CoV-2 infections during the late, omicron-dominated pandemic phase to inform disease understanding and pregnancy consultation. METHODS: In this case-control study, fetal lung volumes were assessed by fetal MRI in 24 pregnancies affected by mild maternal SARS-CoV-2 infection during the omicron-dominated pandemic phase with prevailing immunity through vaccination and/or prior SARS-CoV-2 infection. RESULTS: Fetal lung volumes (normalized to estimated fetal weight) in 24 pregnancies (GA 33.3 ± 3.8, 12 female fetuses) following mild, uncomplicated SARS-CoV-2 infection did not differ significantly from both, published reference values (96.3% ± 22.5% of 50th percentile reference values, p = 0.43), or fetal lung volumes of a site-specific, non-COVID control group (n = 15, 94.2% ± 18.5%, p = 0.76). Placental assessment revealed no group differences in thrombotic changes or placental heterogeneity (p > 0.05, respectively), and fetal lung volume did not correlate with placental heterogeneity when adjusting for gestational age at scan (p > 0.05). CONCLUSION: Assessment of fetal lung volume by MRI revealed unaffected lung growth in pregnancies affected by uncomplicated SARS-CoV-2 infection in the omicron-dominated pandemic phase in the presence of prevailing hybrid immunity. This finding contrasts sharply with the observed reduction in fetal lung volume following maternal alpha-variant infection in the pre-vaccination era and might reflect tropism- as well as immunity-related effects. KEY POINTS: Question: Is fetal lung development affected by mild maternal SARS-CoV-2 infection during the omicron-dominated phase of the pandemic? FINDINGS: Fetal lung volume in 24 affected pregnancies did not differ significantly from published reference values or fetal lung volumes in 15 site-specific, non-COVID-affected control pregnancies. CLINICAL RELEVANCE: Preserved fetal lung volume following mild maternal SARS-CoV-2 infection during the omicron-dominated phase contrasts with previous findings of reduced volume in unvaccinated pregnancies during the alpha-dominated pandemic phase. These observations might reflect tropism- as well as immunity-related effects.
AU  - Biechele, G.*
AU  - Koliogiannis, V.*
AU  - Rennollet, P.*
AU  - Prester, T.*
AU  - Schulz, E.*
AU  - Kolben, T.*
AU  - Jegen, M.*
AU  - Hübener, C.*
AU  - Hasbargen, U.*
AU  - Flemmer, A.*
AU  - Dietrich, O.*
AU  - Burkard, T.*
AU  - Schinner, R.*
AU  - Dinkel, J.*
AU  - Muenchhoff, M.*
AU  - Hintz, S.*
AU  - Delius, M.*
AU  - Mahner, S.*
AU  - Ricke, J.*
AU  - Hilgendorff, A.
AU  - Stöcklein, S.*
C1  - 71543
C2  - 56267
CY  - One New York Plaza, Suite 4600, New York, Ny, United States
TI  - Preserved prenatal lung growth assessed by fetal MRI in the omicron-dominated phase of the SARS-CoV-2 pandemic.
JO  - Eur. Radiol.
PB  - Springer
PY  - 2024
SN  - 0938-7994
ER  - 

TY  - JOUR
AB  - OBJECTIVES: To develop an algorithm to link undiagnosed patients to previous patient histories based on radiographs, and simultaneous classification of multiple bone tumours to enable early and specific diagnosis. MATERIALS AND METHODS: For this retrospective study, data from 2000 to 2021 were curated from our database by two orthopaedic surgeons, a radiologist and a data scientist. Patients with complete clinical and pre-therapy radiographic data were eligible. To ensure feasibility, the ten most frequent primary tumour entities, confirmed histologically or by tumour board decision, were included. We implemented a ResNet and transformer model to establish baseline results. Our method extracts image features using deep learning and then clusters the k most similar images to the target image using a hash-based nearest-neighbour recommender approach that performs simultaneous classification by majority voting. The results were evaluated with precision-at-k, accuracy, precision and recall. Discrete parameters were described by incidence and percentage ratios. For continuous parameters, based on a normality test, respective statistical measures were calculated. RESULTS: Included were data from 809 patients (1792 radiographs; mean age 33.73 ± 18.65, range 3-89 years; 443 men), with Osteochondroma (28.31%) and Ewing sarcoma (1.11%) as the most and least common entities, respectively. The dataset was split into training (80%) and test subsets (20%). For k = 3, our model achieved the highest mean accuracy, precision and recall (92.86%, 92.86% and 34.08%), significantly outperforming state-of-the-art models (54.10%, 55.57%, 19.85% and 62.80%, 61.33%, 23.05%). CONCLUSION: Our novel approach surpasses current models in tumour classification and links to past patient data, leveraging expert insights. CLINICAL RELEVANCE STATEMENT: The proposed algorithm could serve as a vital support tool for clinicians and general practitioners with limited experience in bone tumour classification by identifying similar cases and classifying bone tumour entities. KEY POINTS: • Addressed accurate bone tumour classification using radiographic features. • Model achieved 92.86%, 92.86% and 34.08% mean accuracy, precision and recall, respectively, significantly surpassing state-of-the-art models. • Enhanced diagnosis by integrating prior expert patient assessments.
AU  - Hinterwimmer, F.*
AU  - Serena, R.S.*
AU  - Wilhelm, N.*
AU  - Breden, S.*
AU  - Consalvo, S.*
AU  - Seidl, F.
AU  - Jüstel, D.
AU  - Burgkart, R.H.H.*
AU  - Woertler, K.*
AU  - von Eisenhart-Rothe, R.*
AU  - Neumann, J.*
AU  - Rueckert, D.*
C1  - 70242
C2  - 55459
CY  - One New York Plaza, Suite 4600, New York, Ny, United States
SP  - 6629-6638
TI  - Recommender-based bone tumour classification with radiographs-a link to the past.
JO  - Eur. Radiol.
VL  - 34
IS  - 10
PB  - Springer
PY  - 2024
SN  - 0938-7994
ER  - 

TY  - JOUR
AB  - OBJECTIVES: Introducing SPINEPS, a deep learning method for semantic and instance segmentation of 14 spinal structures (ten vertebra substructures, intervertebral discs, spinal cord, spinal canal, and sacrum) in whole-body sagittal T2-weighted turbo spin echo images. MATERIAL AND METHODS: This local ethics committee-approved study utilized a public dataset (train/test 179/39 subjects, 137 female), a German National Cohort (NAKO) subset (train/test 1412/65 subjects, mean age 53, 694 female), and an in-house dataset (test 10 subjects, mean age 70, 5 female). SPINEPS is a semantic segmentation model, followed by a sliding window approach utilizing a second model to create instance masks from the semantic ones. Segmentation evaluation metrics included the Dice score and average symmetrical surface distance (ASSD). Statistical significance was assessed using the Wilcoxon signed-rank test. RESULTS: On the public dataset, SPINEPS outperformed a nnUNet baseline on every structure and metric (e.g., an average over vertebra instances: dice 0.933 vs 0.911, p < 0.001, ASSD 0.21 vs 0.435, p < 0.001). SPINEPS trained on automated annotations of the NAKO achieves an average global Dice score of 0.918 on the combined NAKO and in-house test split. Adding the training data from the public dataset outperforms this (average instance-wise Dice score over the vertebra substructures 0.803 vs 0.778, average global Dice score 0.931 vs 0.918). CONCLUSION: SPINEPS offers segmentation of 14 spinal structures in T2w sagittal images. It provides a semantic mask and an instance mask separating the vertebrae and intervertebral discs. This is the first publicly available algorithm to enable this segmentation. KEY POINTS: Question No publicly available automatic approach can yield semantic and instance segmentation masks for the whole spine (including posterior elements) in T2-weighted sagittal TSE images. Findings Segmenting semantically first and then instance-wise outperforms a baseline trained directly on instance segmentation. The developed model produces high-resolution MRI segmentations for the whole spine. Clinical relevance This study introduces an automatic approach to whole spine segmentation, including posterior elements, in arbitrary fields of view T2w sagittal MR images, enabling easy biomarker extraction, automatic localization of pathologies and degenerative diseases, and quantifying analyses as downstream research.
AU  - Möller, H.J.*
AU  - Graf, R.*
AU  - Schmitt, J.*
AU  - Keinert, B.*
AU  - Schön, H.*
AU  - Atad, M.*
AU  - Sekuboyina, A.*
AU  - Streckenbach, F.*
AU  - Kofler, F.
AU  - Kroencke, T.*
AU  - Bette, S.*
AU  - Willich, S.N.*
AU  - Keil, T.*
AU  - Niendorf, T.*
AU  - Pischon, T.*
AU  - Endemann, B.*
AU  - Menze, B.*
AU  - Rueckert, D.*
AU  - Kirschke, J.S.*
C1  - 72183
C2  - 56445
TI  - SPINEPS-automatic whole spine segmentation of T2-weighted MR images using a two-phase approach to multi-class semantic and instance segmentation.
JO  - Eur. Radiol.
PY  - 2024
SN  - 0938-7994
ER  - 

TY  - JOUR
AB  - OBJECTIVE: To assess the association of lumbar bone marrow adipose tissue fat fraction (BMAT-FF) and paraspinal muscle proton density fat fraction (PDFF) and their interplay with intervertebral disc degeneration (IVDD). METHODS: In this retrospective cross-sectional study based on a prospective population-based cohort, BMAT-FF and PDFF of asymptomatic individuals were calculated based on 3T-MRI dual-echo and multi-echo Dixon VIBE sequences. IVDD was assessed at motion segments L1 to L5 and dichotomized based on Pfirrmann grade ≥ 4 and/or presence of other severe degenerative changes or spinal abnormalities at least at one segment. Pearson's correlation coefficients were calculated for BMAT-FF and PDFF. Univariable and multivariable logistic regression models for IVDD were calculated. RESULTS: Among 335 participants (mean age: 56.2 ± 9.0 years, 43.3% female), the average BMI was 27.7 ± 4.5 kg/m2 and the prevalence of IVDD was high (69.9%). BMAT-FF and PDFF were significantly correlated (r = 0.31-0.34; p < 0.001). The risk for IVDD increased with higher PDFF (OR = 1.45; CI 1.03, 2.04) and BMAT-FF (OR = 1.56; CI 1.16, 2.11). Pairwise combinations of PDFF and BMAT-FF quartiles revealed a lower risk for IVDD in individuals in the lowest BMAT-FF and PDFF quartile (OR = 0.21; CI 0.1, 0.48). Individuals in the highest BMAT-FF and PDFF quartile showed an increased risk for IVDD (OR = 5.12; CI 1.17, 22.34) CONCLUSION: Lumbar BMAT-FF and paraspinal muscle PDFF are correlated and represent both independent and additive risk factors for IVDD. Quantitative MRI measurements of paraspinal myosteatosis and vertebral bone marrow fatty infiltration may serve as imaging biomarkers to assess the individual risk for IVDD. KEY POINTS: • Fat composition of the lumbar vertebral bone marrow is positively correlated with paraspinal skeletal muscle fat. • Higher fat-fractions of lumbar vertebral bone marrow and paraspinal muscle are both independent as well as additive risk factors for intervertebral disc degeneration. • Quantitative magnetic resonance imaging measurements of bone marrow and paraspinal muscle may serve as imaging biomarkers for intervertebral disc degeneration.
AU  - Jung, M.*
AU  - Rospleszcz, S.
AU  - Löffler, M.T.*
AU  - Walter, S.S.*
AU  - Maurer, E.*
AU  - Jungmann, P.M.*
AU  - Peters, A.
AU  - Nattenmüller, J.*
AU  - Schlett, C.L.*
AU  - Bamberg, F.*
AU  - Kiefer, L.S.*
AU  - Diallo, T.D.*
C1  - 66489
C2  - 53191
CY  - One New York Plaza, Suite 4600, New York, Ny, United States
SP  - 1501-1512
TI  - Association of lumbar vertebral bone marrow and paraspinal muscle fat composition with intervertebral disc degeneration: 3T quantitative MRI findings from the population-based KORA study.
JO  - Eur. Radiol.
VL  - 33
IS  - 3
PB  - Springer
PY  - 2023
SN  - 0938-7994
ER  - 

TY  - JOUR
AB  - OBJECTIVES: T2-weighted (w) fat sat (fs) sequences, which are important in spine MRI, require a significant amount of scan time. Generative adversarial networks (GANs) can generate synthetic T2-w fs images. We evaluated the potential of synthetic T2-w fs images by comparing them to their true counterpart regarding image and fat saturation quality, and diagnostic agreement in a heterogenous, multicenter dataset. METHODS: A GAN was used to synthesize T2-w fs from T1- and non-fs T2-w. The training dataset comprised scans of 73 patients from two scanners, and the test dataset, scans of 101 patients from 38 multicenter scanners. Apparent signal- and contrast-to-noise ratios (aSNR/aCNR) were measured in true and synthetic T2-w fs. Two neuroradiologists graded image (5-point scale) and fat saturation quality (3-point scale). To evaluate whether the T2-w fs images are indistinguishable, a Turing test was performed by eleven neuroradiologists. Six pathologies were graded on the synthetic protocol (with synthetic T2-w fs) and the original protocol (with true T2-w fs) by the two neuroradiologists. RESULTS: aSNR and aCNR were not significantly different between the synthetic and true T2-w fs images. Subjective image quality was graded higher for synthetic T2-w fs (p = 0.023). In the Turing test, synthetic and true T2-w fs could not be distinguished from each other. The intermethod agreement between synthetic and original protocol ranged from substantial to almost perfect agreement for the evaluated pathologies. DISCUSSION: The synthetic T2-w fs might replace a physical T2-w fs. Our approach validated on a challenging, multicenter dataset is highly generalizable and allows for shorter scan protocols. KEY POINTS: • Generative adversarial networks can be used to generate synthetic T2-weighted fat sat images from T1- and non-fat sat T2-weighted images of the spine. • The synthetic T2-weighted fat sat images might replace a physically acquired T2-weighted fat sat showing a better image quality and excellent diagnostic agreement with the true T2-weighted fat images. • The present approach validated on a challenging, multicenter dataset is highly generalizable and allows for significantly shorter scan protocols.
AU  - Schlaeger, S.*
AU  - Drummer, K.*
AU  - El Husseini, M.*
AU  - Kofler, F.
AU  - Sollmann, N.*
AU  - Schramm, S.*
AU  - Zimmer, C.*
AU  - Wiestler, B.*
AU  - Kirschke, J.S.*
C1  - 67719
C2  - 54027
CY  - One New York Plaza, Suite 4600, New York, Ny, United States
SP  - 5882-5893
TI  - Synthetic T2-weighted fat sat based on a generative adversarial network shows potential for scan time reduction in spine imaging in a multicenter test dataset.
JO  - Eur. Radiol.
VL  - 33
IS  - 8
PB  - Springer
PY  - 2023
SN  - 0938-7994
ER  - 

TY  - JOUR
AB  - OBJECTIVES: To present software for automated adipose tissue quantification of abdominal magnetic resonance imaging (MRI) data using fully convolutional networks (FCN) and to evaluate its overall performance-accuracy, reliability, processing effort, and time-in comparison with an interactive reference method. MATERIALS AND METHODS: Single-center data of patients with obesity were analyzed retrospectively with institutional review board approval. Ground truth for subcutaneous (SAT) and visceral adipose tissue (VAT) segmentation was provided by semiautomated region-of-interest (ROI) histogram thresholding of 331 full abdominal image series. Automated analyses were implemented using UNet-based FCN architectures and data augmentation techniques. Cross-validation was performed on hold-out data using standard similarity and error measures. RESULTS: The FCN models reached Dice coefficients of up to 0.954 for SAT and 0.889 for VAT segmentation during cross-validation. Volumetric SAT (VAT) assessment resulted in a Pearson correlation coefficient of 0.999 (0.997), relative bias of 0.7% (0.8%), and standard deviation of 1.2% (3.1%). Intraclass correlation (coefficient of variation) within the same cohort was 0.999 (1.4%) for SAT and 0.996 (3.1%) for VAT. CONCLUSION: The presented methods for automated adipose-tissue quantification showed substantial improvements over common semiautomated approaches (no reader dependence, less effort) and thus provide a promising option for adipose tissue quantification. CLINICAL RELEVANCE STATEMENT: Deep learning techniques will likely enable image-based body composition analyses on a routine basis. The presented fully convolutional network models are well suited for full abdominopelvic adipose tissue quantification in patients with obesity. KEY POINTS: • This work compared the performance of different deep-learning approaches for adipose tissue quantification in patients with obesity. • Supervised deep learning-based methods using fully convolutional networks  were suited best. • Measures of accuracy were equal to or better than the operator-driven approach.
AU  - Schneider, D.*
AU  - Eggebrecht, T.*
AU  - Linder, A.*
AU  - Linder, N.*
AU  - Schaudinn, A.*
AU  - Blüher, M.
AU  - Denecke, T.*
AU  - Busse, H.*
C1  - 68115
C2  - 54593
CY  - One New York Plaza, Suite 4600, New York, Ny, United States
SP  - 8957-8964
TI  - Abdominal fat quantification using convolutional networks.
JO  - Eur. Radiol.
VL  - 33
IS  - 12
PB  - Springer
PY  - 2023
SN  - 0938-7994
ER  - 

TY  - JOUR
AB  - Objective: Assessing the advantage of x-ray dark-field contrast over x-ray transmission contrast in radiography for the detection of developing radiation-induced lung damage in mice. Methods: Two groups of female C57BL/6 mice (irradiated and control) were imaged obtaining both contrasts monthly for 28 weeks post irradiation. Six mice received 20 Gy of irradiation to the entire right lung sparing the left lung. The control group of six mice was not irradiated. A total of 88 radiographs of both contrasts were evaluated for both groups based on average values for two regions of interest, covering (irradiated) right lung and healthy left lung. The ratio of these average values, R, was distinguished between healthy and damaged lungs for both contrasts. The time-point when deviations of R from healthy lung exceeded 3σ was determined and compared among contrasts. The Wilcoxon-Mann-Whitney test was used to test against the null hypothesis that there is no difference between both groups. A selection of 32 radiographs was assessed by radiologists. Sensitivity and specificity were determined in order to compare the diagnostic potential of both contrasts. Inter-reader and intra-reader accuracy were rated with Cohen’s kappa. Results: Radiation-induced morphological changes of lung tissue caused deviations from the control group that were measured on average 10 weeks earlier with x-ray dark-field contrast than with x-ray transmission contrast. Sensitivity, specificity, and accuracy doubled using dark-field radiography. Conclusion: X-ray dark-field radiography detects morphological changes of lung tissue associated with radiation-induced damage earlier than transmission radiography in a pre-clinical mouse model. Key Points: • Significant deviations from healthy lung due to irradiation were measured after 16 weeks with x-ray dark-field radiography (p = 0.004). • Significant deviations occur on average 10 weeks earlier for x-ray dark-field radiography in comparison to x-ray transmission radiography. • Sensitivity and specificity doubled when using x-ray dark-field radiography instead of x-ray transmission radiography.
AU  - Burkhardt, R.
AU  - Gora, T.*
AU  - Fingerle, A.A.*
AU  - Sauter, A.P.*
AU  - Meurer, F.*
AU  - Umkehrer, S.*
AU  - Von Teuffenbach, M.*
AU  - Kampfer, S.*
AU  - Schilling, D.
AU  - Feuchtinger, A.
AU  - Walch, A.K.
AU  - Rummeny, E.*
AU  - Combs, S.E.
AU  - Schmid, T.E.
AU  - Pfeiffer, F.*
AU  - Wilkens, J.J.*
AU  - Herzen, J.*
C1  - 60589
C2  - 49406
CY  - One New York Plaza, Suite 4600, New York, Ny, United States
SP  - 4175–4183
TI  - Early detection of radiation-induced lung damage with X-ray dark-field radiography in mice.
JO  - Eur. Radiol.
VL  - 31
PB  - Springer
PY  - 2021
SN  - 0938-7994
ER  - 

TY  - JOUR
AB  - Objectives To establish the effect of different degrees and kinds of physical activity on bone marrow fat (BMAT) content at different anatomical locations in a population-based cohort study undergoing whole-body MR imaging. Methods Subjects of the KORA FF4 study without known cardiovascular disease underwent BMAT fat fraction (FF) quantification in L1 and L2 vertebrae and femoral heads/necks (hip) via a 2-point T1-weighted VIBE Dixon sequence. BMAT-FF was calculated as mean value (fat image) divided by mean value (fat + water image). Physical activity was determined by self-assessment questionnaire regarding time spent exercising, non-exercise walking, non-exercise cycling, and job-related physical activity. Results A total of 385 subjects (96% of 400 available; 56 +/- 9.1 years; 58% male) were included in the analysis. Exercise was distributed quite evenly (29% > 2 h/week; 31% 1 h/week (regularly); 15% 1 h/week (irregularly); 26% no physical activity). BMAT-FF was 52.6 +/- 10.2% in L1, 56.2 +/- 10.3% in L2, 87.4 +/- 5.9% in the right hip, and 87.2 +/- 5.9% in the left hip (all p < 0.001). Correlation of BMAT-FF between spine and hip was only moderate (r 0.42 to 0.46). Spinal BMAT-FF, but not hip BMAT-FF, was inversely associated with exercise > 2 h/week (p <= 0.02 vs. p >= 0.35, respectively). These associations remained significant after adjusting for age, gender, waist circumference, and glucose tolerance. No coherent association was found between BMAT-FF and physical activity in the less active groups. Conclusions In our study, exercise was inversely correlated with vertebral BMAT-FF, but not hip BMAT-FF, when exercising for more than 2 h per week. Physical activity seems to affect the spine at least preferentially compared to the hip.
AU  - Bertheau, R.C.*
AU  - Lorbeer, R.*
AU  - Nattenmüller, J.*
AU  - Wintermeyer, E.*
AU  - Machann, J.
AU  - Linkohr, B.*
AU  - Peters, A.
AU  - Bamberg, F.*
AU  - Schlett, C.L.*
C1  - 58360
C2  - 48233
CY  - One New York Plaza, Suite 4600, New York, Ny, United States
SP  - 3417-3428
TI  - Bone marrow fat fraction assessment in regard to physical activity: KORA FF4-3-T MR imaging in a population-based cohort.
JO  - Eur. Radiol.
VL  - 30
IS  - 6
PB  - Springer
PY  - 2020
SN  - 0938-7994
ER  - 

TY  - JOUR
AB  - Objectives: Prior studies relating body mass index (BMI) to brain volumes suggest an overall inverse association. However, BMI might not be an ideal marker, as it disregards different fat compartments, which carry different metabolic risks. Therefore, we analyzed MR-based fat depots and their association with gray matter (GM) volumes of brain structures, which show volumetric changes in neurodegenerative diseases. Methods: Warp-based automated brain segmentation of 3D FLAIR sequences was obtained in a population-based study cohort. Associations of temporal lobe, cingulate gyrus, and hippocampus GM volume with BMI and MR-based quantification of visceral adipose tissue (VAT), as well as hepatic and pancreatic proton density fat fraction (PDFFhepatic and PDFFpanc, respectively), were assessed by linear regression. Results: In a sample of 152 women (age 56.2 ± 9.0 years) and 199 men (age 56.1 ± 9.1 years), we observed a significant inverse association of PDFFhepatic and cingulate gyrus volume (p < 0.05) as well as of PDFFhepatic and hippocampus volume (p < 0.05), when adjusting for age and sex. This inverse association was further enhanced for cingulate gyrus volume after additionally adjusting for hypertension, smoking, BMI, LDL, and total cholesterol (p < 0.01) and also alcohol (p < 0.01). No significant association was observed between PDFFhepatic and temporal lobe and between temporal lobe, cingulate gyrus, or hippocampus volume and BMI, VAT, and PDFFpanc. Conclusions: We observed a significant inverse, independent association of cingulate gyrus and hippocampus GM volume with hepatic fat, but not with other obesity measures. Increased hepatic fat could therefore serve as a marker of high-risk fat distribution. Key Points: • Obesity is associated with neurodegenerative processes. • In a population-based study cohort, hepatic fat was superior to BMI and visceral and pancreatic fat as a risk biomarker for decreased brain volume of cingulate gyrus and hippocampus. • Increased hepatic fat could serve as a marker of high-risk fat distribution.
AU  - Beller, E.*
AU  - Lorbeer, R.*
AU  - Keeser, D.*
AU  - Schoeppe, F.*
AU  - Sellner, S.*
AU  - Hetterich, H.*
AU  - Bamberg, F.*
AU  - Schlett, C.L.*
AU  - Peters, A.
AU  - Ertl-Wagner, B.*
AU  - Stoecklein, S.*
C1  - 56295
C2  - 46968
SP  - 6662-6670
TI  - Hepatic fat is superior to BMI, visceral and pancreatic fat as a potential risk biomarker for neurodegenerative disease.
JO  - Eur. Radiol.
VL  - 29
PY  - 2019
SN  - 0938-7994
ER  - 

TY  - JOUR
AB  - ObjectivesWhole-body MR imaging is increasingly utilised; although for lung dedicated sequences are often not included, the chest is typically imaged. Our objective was to determine the clinical utility of lung volumes derived from non-dedicated MRI sequences in the population-based KORA-FF4 cohort study.Methods400 subjects (56.4 9.2 years, 57.6% males) underwent whole-body MRI including a coronal T1-DIXON-VIBE sequence in inspiration breath-hold, originally acquired for fat quantification. Based on MRI, lung volumes were derived using an automated framework and related to common predictors, pulmonary function tests (PFT; spirometry and pulmonary gas exchange, n = 214) and obstructive lung disease.ResultsMRI-based lung volume was 4.0 1.1 L, which was 64.8 14.9% of predicted total lung capacity (TLC) and 124.4 27.9% of functional residual capacity. In multivariate analysis, it was positively associated with age, male, current smoking and height. Among PFT indices, MRI-based lung volume correlated best with TLC, alveolar volume and residual volume (RV; r = 0.57 each), while it was negatively correlated to FEV1/FVC (r = 0.36) and transfer factor for carbon monoxide (r = 0.16). Combining the strongest PFT parameters, RV and FEV1/FVC remained independently and incrementally associated with MRI-based lung volume ( = 0.50, p = 0.04 and = - 0.02, p = 0.02, respectively) explaining 32% of the variability. For the identification of subjects with obstructive lung disease, height-indexed MRI-based lung volume yielded an AUC of 0.673-0.654.Conclusion Lung volume derived from non-dedicated whole-body MRI is independently associated with RV and FEV1/FVC. Furthermore, its moderate accuracy for obstructive lung disease indicates that it may be a promising tool to assess pulmonary health in whole-body imaging when PFT is not available.Key Points Although whole-body MRI often does not include dedicated lung sequences, lung volume can be automatically derived using dedicated segmentation algorithms Lung volume derived from whole-body MRI correlates with typical predictors and risk factors of respiratory function including smoking and represents about 65% of total lung capacity and 125% of the functional residual capacity Lung volume derived from whole-body MRI is independently associated with residual volume and the ratio of forced expiratory volume in 1 s to forced vital capacity and may allow detection of obstructive lung disease
AU  - Mueller, J.*
AU  - Karrasch, S.
AU  - Lorbeer, R.*
AU  - Ivanovska, T.*
AU  - Pomschar, A.*
AU  - Kunz, W.G.*
AU  - von Krüchten, R.*
AU  - Peters, A.
AU  - Bamberg, F.*
AU  - Schulz, H.
AU  - Schlett, C.L.*
C1  - 54326
C2  - 45511
CY  - 233 Spring St, New York, Ny 10013 Usa
SP  - 1595-1606
TI  - Automated MR-based lung volume segmentation in population-based whole-body MR imaging: Correlation with clinical characteristics, pulmonary function testing and obstructive lung disease.
JO  - Eur. Radiol.
VL  - 29
IS  - 3
PB  - Springer
PY  - 2019
SN  - 0938-7994
ER  - 

TY  - JOUR
AB  - ObjectivesDiverticular disease represents an increasing pathology and healthcare burden worldwide. Our aim was to study the prevalence, extent and distribution of asymptomatic diverticular disease assessed by magnetic resonance imaging (MRI) in a sample of a Western population.Methods: Subjects from a population-based cohort study who underwent 3-T MRI were analyzed for the prevalence and extent of diverticula of the colon using an isotropic VIBE-Dixon gradient-echo sequence. The extent of diverticular disease was categorized according to the number of diverticula in each colonic segment. Univariate and adjusted analyses were performed to assess associated characteristics and risk factors.Results: Among 393 subjects included in the analysis (56.4 9.2 years, 57.5% males), 164 (42%) had diverticular disease, with the highest prevalence in the left-sided colonic segments (93% diverticular disease in the descending and sigmoid segment). Subjects with advanced diverticular disease were older (62.1 vs. 54.4 years) and had a higher body mass index (BMI), LDL cholesterol levels and systolic blood pressure (30.2 5.1 vs. 27.8 4.9 kg/m(2), 149.8 29.3 vs. 135.2 +/- 32.9 mg/dl and 128.2 +/- 14.1 vs. 118.4 +/- 16.1 mmHg, respectively; all p > 0.003) compared with subjects without diverticular disease. In contrast, no significant correlation could be found for gender, physical activity, smoking status and alcohol consumption (all p > 0.31). Intra-rater reliability was excellent for all colonic segments (intra-class correlation [ICC] = 0.99-1.00), and inter-rater reliability was excellent for left- and right-sided colonic segments (ICC = 0.84-0.97).Conclusions: These findings provide insights into the disease mechanism of asymptomatic diverticular disease and may help to improve prevention of diverticulosis and its associated complications.Key Points center dot Overall prevalence of asymptomatic diverticular disease assessed by MRI was 42%, affecting predominantly the left-sided colon Asymptomatic diverticular disease was associated with age and cardiometabolic risk factors. Magnetic resonance imaging reveals insights into the pathophysiologic mechanism of asymptomatic diverticular disease.
AU  - Storz, C.*
AU  - Rothenbacher, T.*
AU  - Rospleszcz, S.
AU  - Linseisen, J.
AU  - Messmann, H.*
AU  - De Cecco, C.N.*
AU  - Machann, J.
AU  - Lorbeer, R.*
AU  - Kiefer, L.S.*
AU  - Wintermeyer, E.*
AU  - Rado, S.D.*
AU  - Nikolaou, K.*
AU  - Elser, S.*
AU  - Rathmann, W.*
AU  - Reiser, M.F.*
AU  - Peters, A.
AU  - Schlett, C.L.*
AU  - Bamberg, F.*
C1  - 54197
C2  - 45430
CY  - 233 Spring St, New York, Ny 10013 Usa
SP  - 1094-1103
TI  - Characteristics and associated risk factors of diverticular disease assessed by magnetic resonance imaging in subjects from a Western general population.
JO  - Eur. Radiol.
VL  - 29
IS  - 3
PB  - Springer
PY  - 2019
SN  - 0938-7994
ER  - 

TY  - JOUR
AB  - Objectives: The aim of this study was to assess subclinical changes in right ventricular volumes and function in subjects with prediabetes and diabetes and controls without a history of cardiovascular disease. Methods: Data from 400 participants in the KORA FF4 study without self-reported cardiovascular disease who underwent 3-T whole-body MRI were obtained. The right ventricle was evaluated using the short axis and a four-chamber view. Diabetes was defined according to WHO criteria. Associations between glucose tolerance and right ventricular parameters were assessed using multivariable adjusted linear regression models. Results: Data from 337 participants were available for analysis. Of these, 43 (13%) had diabetes, 87 (26%) had prediabetes, and 207 (61%) were normoglycaemic controls. There was a stepwise decrease in right ventricular volumes in men with prediabetes and diabetes in comparison with controls, including right ventricular end-diastolic volume (β = −20.4 and β = −25.6, respectively; p ≤ 0.005), right ventricular end-systolic volume (β = −12.3 and β = −12.7, respectively; p ≤ 0.037) and right ventricular stroke volume (β = −8.1 and β = −13.1, respectively, p ≤ 0.016). We did not observe any association between prediabetes or diabetes and right ventricular volumes in women or between prediabetes or diabetes and right ventricular ejection fraction in men and women. Conclusions: This study points towards early subclinical changes in right ventricular volumes in men with diabetes and prediabetes. Key Points: • MRI was used to detect subclinical changes in right ventricular parameters.• Diabetes mellitus is associated with right ventricular dysfunction.• Impairment of right ventricular volumes seems to occur predominantly in men.
AU  - Patscheider, H.*
AU  - Lorbeer, R.*
AU  - Auweter, S.*
AU  - Schafnitzel, A.*
AU  - Bayerl, C.*
AU  - Curta, A.*
AU  - Rathmann, W.*
AU  - Heier, M.
AU  - Meisinger, C.
AU  - Peters, A.
AU  - Bamberg, F.*
AU  - Hetterich, H.*
C1  - 52970
C2  - 44687
SP  - 3105-3113
TI  - Subclinical changes in MRI-determined right ventricular volumes and function in subjects with prediabetes and diabetes.
JO  - Eur. Radiol.
VL  - 28
IS  - 7
PY  - 2018
SN  - 0938-7994
ER  - 

TY  - JOUR
AB  - OBJECTIVES: To assess labelling efficiency of rabbit mesenchymal stem cells (MSCs) using the near-infrared dye 1,1'-dioctadecyl-3,3,3',3'-tetramethylindotricarbocyanine iodide (DiR) and detection of labelled MSCs for osteochondral defect repair in a rabbit model using fluorescence molecular tomography-X-ray computed tomography (FMT-XCT). METHODS: MSCs were isolated from New Zealand White rabbits and labelled with DiR (1.25-20 μg/mL). Viability and induction of apoptosis were assessed by XTT- and Caspase-3/-7-testing. Chondrogenic potential was evaluated by measurement of glycosaminoglycans. Labelled cells and unlabeled controls (n = 3) underwent FMT-XCT imaging before and after chondrogenic differentiation. Osteochondral defects were created surgically in rabbit knees (n = 6). Unlabeled and labelled MSCs were implanted in fibrin-clots and imaged by FMT-XCT. Statistical analyses were performed using multiple regression models. RESULTS: DiR-labelling of MSCs resulted in a dose-dependent fluorescence signal on planar images in trans-illumination mode. No significant reduction in viability or induction of apoptosis was detected at concentrations below 10 μg DiR/mL (p > .05); the chondrogenic potential of MSCs was not affected (p > .05). FMT-XCT of labelled MSCs in osteochondral defects showed a significant signal of the transplant (p < .05) with additional high-resolution anatomical information about its osteochondral integration. CONCLUSIONS: FMT-XCT allows for detection of stem cell implantation within osteochondral regeneration processes. KEY POINTS: • DiR-labelling of MSCs shows no toxic side effects or impairment of chondrogenesis. • Fluorescence molecular tomography allows for detection of MSCs for osteochondral defect repair. • FMT-XCT helps to improve evaluation of cell implantation and osteochondral regeneration processes.
AU  - Berninger, M.T.*
AU  - Mohajerani, P.
AU  - Kimm, M.*
AU  - Masius, S.*
AU  - Ma, X.
AU  - Wildgruber, M.*
AU  - Haller, B.*
AU  - Anton, M.*
AU  - Imhoff, A.B.*
AU  - Ntziachristos, V.
AU  - Henning, T.D.*
AU  - Meier, R.*
C1  - 48868
C2  - 41446
CY  - New York
SP  - 1105-1113
TI  - Fluorescence molecular tomography of DiR-labeled mesenchymal stem cell implants for osteochondral defect repair in rabbit knees.
JO  - Eur. Radiol.
VL  - 27
IS  - 3
PB  - Springer
PY  - 2017
SN  - 0938-7994
ER  - 

TY  - JOUR
AB  - OBJECTIVES: Intravital imaging within heterogenic solid tumours is important for understanding blood perfusion profiles responsible for establishment of multiple parameters within the tumour mass, such as hypoxic and nutrition gradients, cell viability, proliferation and drug response potentials. METHODS: Herein, we developed a method based on a volumetric multispectral optoacoustic tomography (vMSOT) for cancer imaging in preclinical models and explored its capacity for three-dimensional imaging of anatomic, vascular and functional tumour profiles in real time. RESULTS: In contrast to methods based on cross-sectional (2D) image acquisition as a basis for 3D rendering, vMSOT has attained concurrent observations from the entire tumour volume at 10 volumetric frames per second. This truly four dimensional imaging performance has enabled here the simultaneous assessment of blood oxygenation gradients and vascularization in solid breast tumours and revealed different types of blood perfusion profiles in-vivo. CONCLUSION: The newly introduced capacity for high-resolution three-dimensional tracking of fast tumour perfusion suggests vMSOT as a powerful method in preclinical cancer research and theranostics. As the imaging setup can be equally operated in both stationary and handheld mode, the solution is readily translatable for perfusion monitoring in a clinical setting. KEY POINTS: • vMSOT visualizes 3D anatomic, vascular and functional tumour profiles in real time. • Three types of blood perfusion profiles are revealed in breast tumour model. • The method is readily adaptable to operate in a handheld clinical mode.
AU  - Ermolayev, V.
AU  - Dean-Ben, X.L.
AU  - Mandal, S.
AU  - Ntziachristos, V.
AU  - Razansky, D.
C1  - 46720
C2  - 37772
CY  - New York
SP  - 1843-1851
TI  - Simultaneous visualization of tumor oxygenation, neovascularization and contrast agent perfusion by real-time three-dimensional optoacoustic tomography.
JO  - Eur. Radiol.
VL  - 26
IS  - 6
PB  - Springer
PY  - 2016
SN  - 0938-7994
ER  - 

TY  - JOUR
AB  - OBJECTIVES: To determine the feasibility of a multi-step magnetic resonance imaging (MRI) approach for comprehensive assessment of hepatic steatosis defined as liver fat content of ≥5 % in an asymptomatic population. METHODS: The study was approved by the institutional review board and written informed consent of all participants was obtained. Participants of a population-based study cohort underwent a three-step 3-T MRI-based assessment of liver fat. A dual-echo Dixon sequence was performed to identify subjects with hepatic steatosis, followed by a multi-echo Dixon sequence with proton density fat fraction estimation. Finally, single-voxel T2-corrected multi-echo spectroscopy was performed. RESULTS: A total of 215 participants completed the MRI protocol (56.3 % male, average age 57.2 ± 9.4 years). The prevalence of hepatic steatosis was 55 %. Mean liver proton density fat fraction was 9.2 ± 8.5 % by multi-echo Dixon and 9.3 ± 8.6 % by multi-echo spectroscopy (p = 0.51). Dual-echo Dixon overestimated liver fat fraction by 1.4 ± 2.0 % (p < 0.0001). All measurements showed excellent correlations (r ≥ 0.9, p < 0.001). Dual-echo Dixon was highly sensitive for the detection of hepatic steatosis (sensitivity 0.97, NPV 0.96) with good specificity and PPV (0.75 and 0.81, respectively). CONCLUSIONS: A multi-step MRI approach may enable rapid and accurate identification of subjects with hepatic steatosis in an asymptomatic population. KEY POINTS: • Dual-echo Dixon can rapidly and reliably exclude hepatic steatosis without complex post-processing. • Multi-echo Dixon and multi-echo spectroscopy yield similar results regarding hepatic fat quantification. • Each sequence can be performed in one breath-hold. • These sequences can be implemented in routine abdominal MRI protocols. • Thus hepatic fat can be evaluated without relevant increase in scan time.
AU  - Hetterich, H.*
AU  - Bayerl, C.*
AU  - Peters, A.
AU  - Heier, M.
AU  - Linkohr, B.
AU  - Meisinger, C.
AU  - Auweter, S.*
AU  - Kannengießer, S.A.*
AU  - Kramer, H.*
AU  - Ertl-Wagner, B.*
AU  - Bamberg, F.*
C1  - 46769
C2  - 37804
CY  - New York
SP  - 1895-1904
TI  - Feasibility of a three-step magnetic resonance imaging approach for the assessment of hepatic steatosis in an asymptomatic study population.
JO  - Eur. Radiol.
VL  - 26
IS  - 6
PB  - Springer
PY  - 2015
SN  - 0938-7994
ER  - 

TY  - JOUR
AB  - To compare mesoscopic epi-fluorescence tomography (MEFT) and EPRI-illumination reflectance imaging (EPRI) for quantitative tumour size assessment in mice. Tumour xenografts of green/red fluorescent protein (GFP/RFP)-expressing colon cancer cells were measured using MEFT, EPRI, ultrasound (US) and micro computed tomography (mu CT) at day 14 post-injection (n = 6). Results from MEFT and EPRI were correlated with each other and with US and mu CT (reference methods). Tumour volumes were measured ex vivo by GFP and RFP fluorescence imaging on cryoslices and compared with the in vivo measurements. High correlation and congruency were observed between MEFT, US and mu CT (MEFT/US: GFP: r (2) = 0.96; RFP: r (2) = 0.97, both P < 0.05; MEFT/mu CT: GFP: r (2) = 0.93; RFP: r (2) = 0.90; both P < 0.05). Additionally, in vivo MEFT data were highly correlated and congruent with ex vivo cryoslice imaging results (GFP: r (2) = 0.96; RFP: r (2) = 0.99; both P < 0.05). In comparison, EPRI significantly overestimated tumour volumes (P < 0.05), although there was a significant correlation with US and mu CT (EPRI/US: GFP: r (2) = 0.95; RFP: r (2) = 0.94; both P < 0.05; EPRI/mu CT GFP: r (2) = 0.86; RFP: r (2) = 0.86; both P < 0.05). Fluorescence distribution reconstruction using MEFT affords highly accurate three-dimensional (3D) tumour volume data showing superior accuracy compared to EPRI. Thus, MEFT is a very suitable technique for quantitatively assessing fluorescence distribution in superficial tumours at high spatial resolution. aEuro cent Mesoscopic epi-fluorescence tomography (MEFT) is an important new molecular imaging technique. aEuro cent MEFT allows accurate size determination of superficial tumours with high resolution. aEuro cent MEFT is a suitable technique for longitudinal assessment of tumour growth. aEuro cent MEFT allows 3D reconstruction and quantification of fluorescence distributions.
AU  - Abou-Elkacem, L.*
AU  - Björn, S.
AU  - Doleschel, D.*
AU  - Ntziachristos, V.
AU  - Schulz, R.B.
AU  - Hoffman, R.M.*
AU  - Kiessling, F.*
AU  - Lederle, W.*
C1  - 8624
C2  - 30272
SP  - 1955-1962
TI  - High accuracy of mesoscopic epi-fluorescence tomography for non-invasive quantitative volume determination of fluorescent protein-expressing tumours in mice.
JO  - Eur. Radiol.
VL  - 22
IS  - 9
PB  - Springer
PY  - 2012
SN  - 0938-7994
ER  - 

TY  - JOUR
AB  - To show the feasibility of dual-energy CT (DECT) and dynamic CT for ventilation imaging of the paranasal sinuses in a nasal cast. In a first trial, xenon gas was administered to a nasal cast with a laminar flow of 7 L/min. Dynamic CT acquisitions of the nasal cavity and the sinuses were performed. This procedure was repeated with pulsating xenon flow. Local xenon concentrations in the different compartments of the model were determined on the basis of the enhancement levels. In a second trial, DECT measurements were performed both during laminar and pulsating xenon administration and the xenon concentrations were quantified directly. Neither with dynamic CT nor DECT could xenon-related enhancement be detected in the sinuses during laminar airflow. Using pulsating flow, dynamic imaging showed a xenon wash-in and wash-out in the sinuses that followed a mono-exponential function with time constants of a few seconds. Accordingly, DECT revealed xenon enhancement in the sinuses only after pulsating xenon administration. The feasibility of xenon-enhanced DECT for ventilation imaging was proven in a nasal cast. The superiority of pulsating gas flow for the administration of gas or aerosolised drugs to the paranasal sinuses was demonstrated. aEuro cent Ventilation of the paranasal sinuses is poorly understood. aEuro cent Dual-energy CT ventilation imaging has been explored using phantom simulation. aEuro cent Xenon can be seen in the paranasal sinuses using pulsating xenon flow. aEuro cent Dual-energy CT uses a lower radiation dose compared with dynamic ventilation CT.
AU  - Thieme, S.F.*
AU  - Möller, W.
AU  - Becker, S.*
AU  - Schuschnig, U.*
AU  - Eickelberg, O.
AU  - Helck, A.D.*
AU  - Reiser, M.F.*
AU  - Johnson, T.R.C.*
C1  - 10440
C2  - 30261
SP  - 2110-2116
TI  - Ventilation imaging of the paranasal sinuses using xenon-enhanced dynamic single-energy CT and dual-energy CT: A feasibility study in a nasal cast.
JO  - Eur. Radiol.
VL  - 22
IS  - 10
PB  - Springer
PY  - 2012
SN  - 0938-7994
ER  - 

TY  - JOUR
AB  - Estimating the dose delivered to the patient in X-ray computed tomography (CT) examinations is not a trivial task. Monte Carlo (MC) methods appear to be the method of choice to assess the 3D dose distribution. The purpose of this work was to extend an existing MC-based tool to account for arbitrary scanners and scan protocols such as multi-slice CT (MSCT) scanners and to validate the tool in homogeneous and heterogeneous phantoms. The tool was validated by measurements on MSCT scanners for different scan protocols under known conditions. Quantitative CT Dose Index (CTDI) measurements were performed in cylindrical CTDI phantoms and in anthropomorphic thorax phantoms of various sizes; dose profiles were measured with thermoluminescent dosimeters (TLD) in the CTDI phantoms and compared with the computed dose profiles. The in-plane dose distributions were simulated and compared with TLD measurements in an Alderson-Rando phantom. The calculated dose values were generally within 10% of measurements for all phantoms and all investigated conditions. Three-dimensional dose distributions can be accurately calculated with the MC tool for arbitrary scanners and protocols including tube current modulation schemes. The use of the tool has meanwhile also been extended to further scanners and to flat-detector CT.
AU  - Deak, P.*
AU  - van Straten, M.*
AU  - Shrimpton, P.C.*
AU  - Zankl, M.
AU  - Kalender, W.A.*
C1  - 3651
C2  - 25861
SP  - 759-772
TI  - Validation of a Monte Carlo tool for patient-specific dose simulations in multi-slice computed tomography.
JO  - Eur. Radiol.
VL  - 18
IS  - 4
PB  - Springer
PY  - 2008
SN  - 0938-7994
ER  - 

TY  - JOUR
AB  - The aim of this study was to demonstrate the possibilities, advantages and limitations of virtual bronchoscopy using data sets from positron emission tomography (PET) and computed tomography (CT). Twelve consecutive patients with lung cancer underwent PET/CT. PET was performed with F-18-labelled 2-[fluorine-18]-fluoro-2-deoxy-D-glucose (18F-FDG). The tracheobronchial system was segmented with a volume-growing algorithm, using the CT data sets, and visualized with a shaded-surface rendering method. The primary tumours and the lymph node metastases were segmented for virtual CT-bronchoscopy using the CT data set and for virtual PET/CT-bronchoscopy using the PET/CT data set. Virtual CT-bronchoscopy using the low-dose or diagnostic CT facilitates the detection of anatomical/morphological structure changes of the tracheobronchial system. Virtual PET/CT-bronchoscopy was superior to virtual CT-bronchoscopy in the detection of lymph node metastases (P=0.001), because it uses the CT information and the molecular/metabolic information from PET. Virtual PET/CT-bronchoscopy with a transparent colour-coded shaded-surface rendering model is expected to improve the diagnostic accuracy of identification and characterization of malignancies, assessment of tumour staging, differentiation of viable tumour tissue from atelectases and scars, verification of infections, evaluation of therapeutic response and detection of an early stage of recurrence that is not detectable or is misjudged in comparison with virtual CT-bronchoscopy.
AU  - Seemann, M.D.*
AU  - Schaefer, J.F.*
AU  - Englmeier, K.-H.
C1  - 2366
C2  - 24347
SP  - 709-715
TI  - Virtual positron emission tomography/computed tomography-bronchoscopy: Possibilities, advantages and limitations of clinical application.
JO  - Eur. Radiol.
VL  - 17
IS  - 3
PB  - Springer
PY  - 2007
SN  - 0938-7994
ER  - 

TY  - JOUR
AB  - The aim of this study was to analyze the precision of tibial cartilage morphometry, by using a fast, coronal water-excitation sequence with high spatial resolution, to compare the reproducibility of 3D thickness vs volume estimates, and to test the technique in patients with severe osteoarthritis. The tibiae of 8 healthy volunteers and 3 patients selected for total knee arthroplasty were imaged repeatedly with a water-excitation sequence (image time 6 h 19 min, resolution 1.2 × 0.31 × 0.31 mm3), with the knee being repositioned between each replicate acquisition. After 3D reconstruction, the cartilage volume, the mean, and the maximal tibial cartilage thickness were determined by 3D Euclidean distance transformation. In the volunteers, the precision of the volume measurements was 2.3 % (CV%) in the medial and 2.6 % in the lateral tibia. The reproducibility of the mean cartilage thickness was similar (2.6 and 2.5 %, respectively), and that of the maximal thickness lower (6.5 and 4.4 %). The patients showed a considerable reduction in volume and thickness, the precision being comparable with that in the volunteers. We find that, using a new imaging protocol and computational algorithm, it is possible to determine tibial cartilage morphometry with high precision in healthy individuals as well as in patients with osteoarthritis.
AU  - Hyhlik-Dürr, A.*
AU  - Faber, S.*
AU  - Burgkart, R.*
AU  - Stammberger, T.
AU  - Maag, K.-P.*
AU  - Englmeier, K.-H.
AU  - Reiser, M.*
AU  - Eckstein, F.*
C1  - 21477
C2  - 19598
SP  - 297-303
TI  - Precision of tibial cartilage morphometry with a coronal water-excitation MR sequence.
JO  - Eur. Radiol.
VL  - 10
IS  - 2
PY  - 2000
SN  - 0938-7994
ER  - 

TY  - JOUR
AU  - Seemann, M.D.*
AU  - Englmeier, K.-H.
AU  - Minx, C.*
AU  - Fürst, H.*
C1  - 20822
C2  - 19258
SP  - 105-112
TI  - Evaluation of the carotid and vertebral arteries: comparison of 3D SCIA and IA-DSA-work in progress.
JO  - Eur. Radiol.
VL  - 9
PY  - 1999
SN  - 0938-7994
ER  - 

TY  - JOUR
AU  - Seemann, M.D.*
AU  - Seemann, O.*
AU  - Bonel, H.*
AU  - Suckfüll, M.*
AU  - Englmeier, K.-H.
AU  - Naumann, A.*
AU  - Allen, C.M.*
AU  - Reiser, M.F.*
C1  - 21209
C2  - 19308
SP  - 1851-1858
TI  - Evaluation of the middle and inner ear structures: comparison of hybrid rendering, virtual endoscopy and axial 2D source images.
JO  - Eur. Radiol.
VL  - 9
PY  - 1999
SN  - 0938-7994
ER  -