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 (originated from excessive dose and a sample motion during the scan) remains a widespread and often critical issue for computer vision applications. In this framework, 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.
Application of simultaneous iterative reconstruction method for high resolution x-ray phase-contrast tomography
I Bukreeva;
2020
Abstract
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 (originated from excessive dose and a sample motion during the scan) remains a widespread and often critical issue for computer vision applications. In this framework, 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.File in questo prodotto:
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