Improved quantitation for PET/CT image reconstruction with system modeling and anatomical priors

Adam M. Alessio; Paul M. Kinahan; Thomas Lewellen

doi:10.1117/12.595372

29 April 2005 Improved quantitation for PET/CT image reconstruction with system modeling and anatomical priors

Adam M. Alessio, Paul M. Kinahan, Thomas Lewellen

Proceedings Volume 5747, Medical Imaging 2005: Image Processing; (2005) https://doi.org/10.1117/12.595372
Event: Medical Imaging, 2005, San Diego, California, United States

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.

Citation Download Citation

Adam M. Alessio, Paul M. Kinahan, and 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); https://doi.org/10.1117/12.595372

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