Paper
31 January 2020 Simultaneous iterative reconstruction method for high resolution x-ray phase-contrast tomography
Author Affiliations +
Proceedings Volume 11433, Twelfth International Conference on Machine Vision (ICMV 2019); 114331V (2020) https://doi.org/10.1117/12.2557133
Event: Twelfth International Conference on Machine Vision, 2019, Amsterdam, Netherlands
Abstract
Computer vision for biomedical imaging applications is fast developing and at once demanding field of computer science. In particular, computer vision technique provides excellent results for detection and segmentation problems in tomographic imaging. X-ray phase contrast Tomography (XPCT) is a noninvasive 3D imaging technique with high sensitivity for soft tissues. Despite a considerable progress in XPCT data acquisition and data processing methods, the problem in degradation of image quality due to artifacts remains a widespread and often critical issue for computer vision applications. One of the main problems originates from a sample alteration during a long tomographic scan. We proposed and tested Simultaneous Iterative Reconstruction algorithm with Total Variation regularization to reduce the number of projections in high resolution XPCT scans of ex-vivo mouse spinal cord. We have shown that the proposed algorithm allows tenfold reducing the number of projections and, therefore, the exposure time, with conservation of the important morphological information in 3D image with quality acceptable for computer graphics and computer vision applications. Our research paves a way for more effective implementation of advanced computer technologies in phase contrast tomographic research.
© (2020) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
I. Bukreeva, V. Asadchikov, A. Buzmakov, M. Chukalina, A. Ingacheva, F. Palermo, M. Fratini, and A. Cedola "Simultaneous iterative reconstruction method for high resolution x-ray phase-contrast tomography", Proc. SPIE 11433, Twelfth International Conference on Machine Vision (ICMV 2019), 114331V (31 January 2020); https://doi.org/10.1117/12.2557133
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KEYWORDS
Tomography

X-rays

Image quality

Reconstruction algorithms

Spinal cord

3D image processing

3D image reconstruction

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