NDLI: Combined motion compensation and reconstruction for PET

Content Provider	IEEE Xplore Digital Library
Author	Blume, Moritz Rafecas, Magdalena Ziegler, Sibylle Navab, Nassir
Copyright Year	2008
Description	Author affiliation: Nuklearmedizinische Klinik, Technische Universität München, Munich, Germany (Ziegler, Sibylle) \|\| Computer Aided Medical Procedures (CAMP), Department of Computer Science, Technische Universität München, Munich, Germany (Navab, Nassir) \|\| Instituto de Física Corpuscular (IFIC), Universidad de Valencia / CSIC, Spain (Blume, Moritz; Rafecas, Magdalena)
Abstract	We propose a new intrinsic motion-compensation algorithm for PET called “Blind Motion Compensated Reconstruction” (BMCR). BMCR is able to deal with frames of extremely low statistics in the case of smooth motion. This is achieved by combining image reconstruction and motion compensation into one mathematical framework which consists of a cost functional and an optimization method. The cost functional basically consists of a difference term which ensures consistency of the estimated parameters to the model and some regularization terms which render the problem mathematically well-posed. The optimization method aims at finding a pair of image and transformation/motion such that the cost functional is minimal. Up to now, for motion only translations are considered. Initial results are promising and show that the quality of images reconstructed by the BMCR algorithm for motion-contaminated data is (a) significantly superior to that of the Maximum-Likelihood Expectation-Maximization (ML-EM) algorithm for motion-contaminated data and (b) even comparable to an ML-EM reconstruction for motion-free data.
Starting Page	5485
Ending Page	5487
File Size	5173028
Page Count	3
File Format	PDF
ISBN	9781424427147
ISSN	10957863
DOI	10.1109/NSSMIC.2008.4774494
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-10-19
Publisher Place	Germany
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Motion compensation Positron emission tomography Image reconstruction Cost function Optimization methods Statistics Parameter estimation Mathematical model Rendering (computer graphics) Maximum likelihood estimation
Content Type	Text
Resource Type	Article

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