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Proceedings Paper

Improved quantitation for PET/CT image reconstruction with system modeling and anatomical priors
Author(s): Adam M. Alessio; Paul M. Kinahan; Thomas Lewellen
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Paper Abstract

Accurate quantitation of PET tracer uptake levels in small tumors remains a challenge. This work uses an improved reconstruction algorithm to reduce the quantitative errors due to limited system resolution and due to necessary image noise reduction. We propose a method for finding and using the detection system response in the projection matrix of a statistical reconstruction algorithm. In addition we use aligned anatomical information, available in PET/CT scanners, to govern the penalty term applied during each image update. These improvements are combined with FORE rebinning in a clinically feasible algorithm for reconstructing fully 3D PET data. Simulated results show improved tumor bias and variance characteristics with the new algorithm.

Paper Details

Date Published: 29 April 2005
PDF: 9 pages
Proc. SPIE 5747, Medical Imaging 2005: Image Processing, (29 April 2005); doi: 10.1117/12.595372
Show Author Affiliations
Adam M. Alessio, Univ. of Washington Medical Ctr. (United States)
Paul M. Kinahan, Univ. of Washington Medical Ctr. (United States)
Thomas Lewellen, Univ. of Washington Medical Ctr. (United States)


Published in SPIE Proceedings Vol. 5747:
Medical Imaging 2005: Image Processing
J. Michael Fitzpatrick; Joseph M. Reinhardt, Editor(s)

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