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Level set method for positron emission tomography

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Level set method for positron emission tomography

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Title: Level set method for positron emission tomography
Author: Chan, Tony F.; Li, Hongwei; Lysaker, Marius; Tai, Xue Cheng
Copyright year: 2007
Abstract: In positron emission tomography (PET), a radioactive compound is injected into the body to promote a tissue-dependent emission rate. Expectation maximization (EM) reconstruction algorithms are iterative techniques which estimate the concentration coefficients that provide the best fitted solution, for example, a maximum likelihood estimate. In this paper, we combine the EM algorithm with a level set approach. The level set method is used to capture the coarse scale information and the discontinuities of the concentration coefficients. An intrinsic advantage of the level set formulation is that anatomical information can be efficiently incorporated and used in an easy and natural way. We utilize a multiple level set formulation to represent the geometry of the objects in the scene. The proposed algorithm can be applied to any PET configuration, without major modifications.
Subject: DRNTU::Science::Mathematics.
Type: Journal Article
Series/ Journal Title: International Journal of Biomedical Imaging.
School: School of Physical and Mathematical Sciences
Rights: International Journal of Biomedical Imaging © copyright 2007 Hindawi Publishing Corporation. The journal's website is located at http://www.hindawi.com/journals/ijbi/.
Version: Published version

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