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Proceedings Paper

Recent progress in local reconstruction
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Paper Abstract

While classic CT theory targets exact reconstruction of a whole cross-section or of an entire object from complete projections, practical applications often focus on much smaller internal ROIs. Traditional CT methods cannot exactly reconstruct an internal ROI only from local truncated projections associated with x-rays through the ROI, because this interior problem does not have a unique solution. When applying approximate local CT algorithms for interior reconstruction from truncated projection data, features outside the ROI may create artifacts overlapping inside features, rendering the images inaccurate or useless. Recently, novel solutions for the interior problem were published by our group with numerical results demonstrating that the interior problem can be solved in a theoretically exact and numerically stable fashion aided by some prior knowledge, such as a small known sub-region inside the ROI or the ROI can modeled by piecewise constant/polynomial function. In this invited paper, we will review the recent progress in local reconstruction. The topic includes lambda tomography, analytic and iterative interior reconstructions, with an emphasis on total variation minimization based soft-threshold methods and statistical based interior reconstruction algorithms.

Paper Details

Date Published: 20 September 2010
PDF: 13 pages
Proc. SPIE 7804, Developments in X-Ray Tomography VII, 78040V (20 September 2010); doi: 10.1117/12.859772
Show Author Affiliations
Hengyong Yu, Wake Forest Univ. Health Sciences (United States)
Virginia Polytechnic Institute and State Univ. (United States)
Qiong Xu, Xi'an Jiaotong Univ. (China)
Xuanqin Mou, Xi'an Jiaotong Univ. (China)
Ge Wang, Wake Forest Univ. Health Sciences (United States)
Virginia Polytechnic Institute and State Univ. (United States)

Published in SPIE Proceedings Vol. 7804:
Developments in X-Ray Tomography VII
Stuart R. Stock, Editor(s)

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