Region of interest reconstruction from truncated data in circular cone-beam CT

Lifeng Yu; Dan Xia; Yu Zou; Xiaochuan Pan; Charles Pelizzari; Peter Munro

doi:10.1117/12.595893

29 April 2005 Region of interest reconstruction from truncated data in circular cone-beam CT

Lifeng Yu, Dan Xia, Yu Zou, Xiaochuan Pan, Charles Pelizzari, Peter Munro

Proceedings Volume 5747, Medical Imaging 2005: Image Processing; (2005) https://doi.org/10.1117/12.595893
Event: Medical Imaging, 2005, San Diego, California, United States

Abstract

In many applications of circular cone-beam CT, it is not uncommon that the size of the field of view (FOV) is smaller than that of the imaging object, thus leading to transverse truncation in projection data. Exact reconstruction in any region is not possible from such truncated data using conventional algorithms. Recently, an exact algorithm for image reconstruction on PI-line segments in helical cone-beam CT has been proposed. This algorithm, which we refer to as the backprojection-filtration (BPF) algorithm, can naturally address the problem of exact region of interest (ROI) reconstruction from such truncated data. In this work, we modified this algorithm to reconstructing images in circular cone-beam scan. The unique property of this modified algorithm is that it can reconstruct exact ROIs in midplane and approximate ROIs in other planes from transversely truncated data. We have performed computer-simulation studies to validate the theoretical assertions. Preliminary results demonstrate that the proposed algorithm provides a solution to the truncation problems caused by limited FOV size.

Citation Download Citation

Lifeng Yu, Dan Xia, Yu Zou, Xiaochuan Pan, Charles Pelizzari, and Peter Munro "Region of interest reconstruction from truncated data in circular cone-beam CT", Proc. SPIE 5747, Medical Imaging 2005: Image Processing, (29 April 2005); https://doi.org/10.1117/12.595893

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