1. Development of a prototype gantry system for preclinical x-ray phase-contrast computed tomography.
- Author
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Tapfer A, Bech M, Pauwels B, Liu X, Bruyndonckx P, Sasov A, Kenntner J, Mohr J, Walter M, Schulz J, and Pfeiffer F
- Subjects
- Absorption, Image Processing, Computer-Assisted, Phantoms, Imaging, Tomography, X-Ray Computed instrumentation
- Abstract
Purpose: To explore the potential of grating-based x-ray phase-contrast imaging for clinical applications, a first compact gantry system was developed. It is designed such that it can be implemented into an in-vivo small-animal phase-contrast computed tomography (PC-CT) scanner. The purpose of the present study is to assess the accuracy and quantitativeness of the described gantry in both absorption and phase-contrast., Methods: A phantom, containing six chemically well-defined liquids, was constructed. A tomography scan with cone-beam reconstruction of this phantom was performed yielding the spatial distribution of the linear attenuation coefficient μ and decrement δ of the complex refractive index. Theoretical values of μ and δ were calculated for each liquid from tabulated data and compared with the experimentally measured values. Additionally, a color-fused image representation is proposed to display the complementary absorption and phase-contrast information in a single image., Results: Experimental and calculated data of the phantom agree well confirming the quantitativeness and accuracy of the reconstructed spatial distributions of μ and δ. The proposed color-fused image representation, which combines the complementary absorption and phase information, considerably helps in distinguishing the individual substances., Conclusions: The concept of grating-based phase-contrast computed tomography (CT) can be implemented into a compact, cone-beam geometry gantry setup. The authors believe that this work represents an important milestone in translating phase-contrast x-ray imaging from previous proof-of-principle experiments to first preclinical biomedical imaging applications on small-animal models.
- Published
- 2011
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