Utilization of redundancy in ROI reconstruction with backprojection filtration from fan-beam truncated data

Yu Zou; Xiaochuan Pan; Dan Xia

doi:10.1117/12.596136

29 April 2005 Utilization of redundancy in ROI reconstruction with backprojection filtration from fan-beam truncated data

Yu Zou, Xiaochuan Pan, Dan Xia

Author Affiliations +

Proceedings Volume 5747, Medical Imaging 2005: Image Processing; (2005) https://doi.org/10.1117/12.596136
Event: Medical Imaging, 2005, San Diego, California, United States

Abstract

In fan-beam computed tomography (CT), one may be interested in image reconstruction in a region of interest (ROI) from truncated data acquired over an angular range less than half-scan data. We developed recently a backprojection filtration (BPF) algorithm to reconstruct an ROI image from reduced scan data containing data truncations. In a reduced scan, the truncated data may still contain redundancy. In this work, we describe a new algorithm that can exploit data redundancy in truncated data for potentially suppressing the aliasing and noise artifacts in reconstructed images. We have performed numerical studies to demonstrate the BPF algorithm.

Citation Download Citation

Yu Zou, Xiaochuan Pan, and Dan Xia "Utilization of redundancy in ROI reconstruction with backprojection filtration from fan-beam truncated data", Proc. SPIE 5747, Medical Imaging 2005: Image Processing, (29 April 2005); https://doi.org/10.1117/12.596136

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