Data-driven imaging geometric recovery of ultrahigh resolution robotic micro-CT for in-vivo and other applications

2024/06/26 by Mengzhou Li, Li, Mengzhou, Guibin Zan +9
Medicine · Computer Science · Engineering · #Medical Imaging Techniques and Applications #Medical Image Segmentation Techniques #Advanced X-ray and CT Imaging

paper · doi:10.48550/arxiv.2406.18063

Abstract

) robotic micro-CT design for localized imaging of carotid plaques using robotic arms, cutting-edge detector, and machine learning technologies. To combat geometric error-induced artifacts in interior CT scans, we propose a data-driven geometry estimation method that maximizes the consistency between projection data and the reprojection counterparts of a reconstructed volume. Particularly, we use a normalized cross correlation metric to overcome the projection truncation effect. Our approach is validated on a robotic CT scan of a sacrificed mouse and a micro-CT phantom scan, both producing sharper images with finer details than that prior correction.

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