Hybrid fluorescence tomography/x-ray tomography improves reconstruction quality
作者： R. B. Schulz , A. Ale , A. Sarantopoulos , M. Freyer , R. Söhngen
DOI: 10.1117/12.831714
关键词: Tomography 、 Inverse problem 、 Computer vision 、 Iterative reconstruction 、 Image quality 、 Artificial intelligence 、 Reconstruction algorithm 、 Scanner 、 Coordinate system 、 Image processing 、 Materials science
摘要: A novel hybrid imaging system for simultaneous X-ray and Fluorescence Tomography is presented, capitalizing on 360°-projection free-space fluorescence tomography. The implemented within a commercial micro-CT scanner allowing reconstructions with resolution of 95μm. Acquired data sets are intrinsically coregistered in the same coordinate can be used to correctly localize reconstructed distributions morphological features. More importantly, data, automatically segmented into different organ tissue segments guide reconstruction algorithm reduce ill-coditioning inverse problem. We showcase use improvements image quality lesions brain lung.
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