29 April 2005 Improved quantitation for PET/CT image reconstruction with system modeling and anatomical priors
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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.
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Adam M. Alessio, Adam M. Alessio, Paul M. Kinahan, Paul M. Kinahan, Thomas Lewellen, Thomas Lewellen, } "Improved quantitation for PET/CT image reconstruction with system modeling and anatomical priors", Proc. SPIE 5747, Medical Imaging 2005: Image Processing, (29 April 2005); doi: 10.1117/12.595372; https://doi.org/10.1117/12.595372
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