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pubmed-article:18664857pubmed:abstractTextHeterogeneity analysis has been studied for radiological imaging, but few methods have been developed for functional images. Diffuse heterogeneous perfusion frequently appears in brain single photon emission computed tomography (SPECT) images, but objective quantification is lacking. An automatic method, based on random walk (RW) theory, has been developed to quantify perfusion heterogeneity. We assess the robustness of our algorithm in differentiating levels of diffuse heterogeneity even when focal defects are present.lld:pubmed
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pubmed-article:18664857pubmed:articleTitleDevelopment and validation of the random walk algorithm: application to the classification of diffuse heterogeneity in brain SPECT perfusion images.lld:pubmed
pubmed-article:18664857pubmed:affiliationLITIS Laboratory, Faculty of Medicine, Rouen University, Rouen, France. romain.modzelewski@rouen.fnclcc.frlld:pubmed
pubmed-article:18664857pubmed:publicationTypeJournal Articlelld:pubmed
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