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Optimization of in vivo murine X-ray dark-field computed tomography.
Rev. Sci. Instruments 90:103103 (2019)
Grating-based dark-field interferometry can be realized with lab-based, low-brilliance X-ray sources and provides scattering information of sample structures below the detector pixel size. This unique property allows promising medical imaging applications, especially for lung diseases. Structural damage in lung tissue caused by pulmonary emphysema or pulmonary carcinoma could be observed in radiographs by changes in the dark-field signal with high sensitivity at early stages, in contrast to the conventional absorption signal. Currently, the standard for diagnosis in the clinical routine of pulmonary diseases is absorption computed tomography (CT). The assessment of a larger number of samples with in vivo dark-field CT is limited by the rather long scan times, the order of 2 h, that are required to obtain sufficient CT data quality. In this work, a prototype in vivo, small-animal, dark-field CT is optimized with respect to CT measurements with the following: usage of an iterative reconstruction algorithm for the reduction of undersampling artifacts, a rearranged data acquisition scheme with reduced amount of dead time, and thinned gratings and curved grating geometry for more efficient utilization of the 37 kV X-ray flux. The device performance is evaluated with noise-effective dose measurements, image contrast-to-noise ratio, interferometry visibility across the field-of-view, and a reduced measurement time of 40 min with a deposited dose of 85 mGy.
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Publication type
Article: Journal article
Document type
Scientific Article
Keywords
Diagnosis; Reconstruction; Gratings; Ct
Language
english
Publication Year
2019
HGF-reported in Year
2019
ISSN (print) / ISBN
0034-6748
e-ISSN
1089-7623
Journal
Review of Scientific Instruments
Quellenangaben
Volume: 90,
Issue: 10,
Article Number: 103103
Publisher
American Institute of Physics (AIP)
Publishing Place
1305 Walt Whitman Rd, Ste 300, Melville, Ny 11747-4501 Usa
Reviewing status
Peer reviewed
POF-Topic(s)
30203 - Molecular Targets and Therapies
30202 - Environmental Health
30202 - Environmental Health
Research field(s)
Radiation Sciences
Lung Research
Lung Research
PSP Element(s)
G-501300-001
G-505000-007
G-505000-007
WOS ID
WOS:000504078300009
Scopus ID
85073231437
Erfassungsdatum
2019-10-21