Open Access Green möglich sobald Postprint bei der ZB eingereicht worden ist.
Three-dimensional sonographic examination of the midbrain for computer-aided diagnosis of movement disorders.
Ultrasound Med. Biol. 38, 2041-2050 (2012)
We present a novel approach to transcranial B-mode sonography for Parkinson's disease (PD) diagnosis by using 3-D ultrasound (3-DUS). We reconstructed bilateral 3-DUS volumes of the midbrain and substantia nigra echogenicities (SNE) and report results of a more objective abnormality detection in (PD). For classification, we analyzed volumetric measurements of midbrain and SNE in subjects with PD and healthy controls (HC). After blinded segmentation of these structures in 22/23 subjects (11 PD, 11 HC) and by two observers with varying prior experience in this technique, the classification algorithm yielded up to 91% sensitivity and 64% specificity using the larger volume of both SNE as a single-dimensional features and up to 90.9% sensitivity and 72.7% specificity using a multidimensional feature set with midbrain and both SNE volumes. This pilot study indicates that our TC-3-D-US approach is technically feasible and less dependent on the investigator's experience and good bone windows. Our pilot study yielded a fairly high sensitivity and specificity in differentiating between subjects with PD and HC.
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Publikationstyp
Artikel: Journalartikel
Dokumenttyp
Wissenschaftlicher Artikel
Schlagwörter
3-d Ultrasound ; Transcranial Ultrasound ; Parkinson Diagnosis ; Interobserver Comparison ; Bilateral 3d Reconstruction ; Manual Segmentation ; Quantitative Data Analysis; Atypical Parkinsonian Syndromes ; Brain Parenchyma Sonography ; Real-time Sonography ; Substantia-nigra ; Transcranial Sonography ; Differential-diagnosis ; Image Segmentation ; 3d Ultrasound ; Stem Raphe ; Disease
ISSN (print) / ISBN
0301-5629
e-ISSN
1879-291X
Zeitschrift
Ultrasound in Medicine and Biology
Quellenangaben
Band: 38,
Heft: 12,
Seiten: 2041-2050
Verlag
Elsevier
Begutachtungsstatus
Peer reviewed
Institut(e)
Institute of Biomathematics and Biometry (IBB)