Spatio-temporal registration of cardiac perfusion MRI exams using high-dimensional mutual information

Abstract : Compensating for cardio-thoracic motion artifacts in contrast-enhanced cardiac perfusion MRI (p-MRI) sequences is a key issue for the quantitative assessment of myocardial ischæmia. The classical paradigm consists of registering each sequence frame on some reference using an intensity-based matching criterion. In this paper, we present a novel unsupervised method for the groupwise registration of cardiac p-MRI exams based on mutual information between high-dimensional feature distributions. Specifically, local contrast enhancement curves are used as a dense set of spatio-temporal features, and statistically matched to a target feature distribution derived from a registered reference template. Using consistent kth nearest neighbors entropy estimators further enables the variational optimization of the model over finite- and infinite dimensional transform spaces. Experiments on simulated and natural datasets demonstrate its accuracy and relevance for the reliable assessment of regional perfusion.
Type de document :
Communication dans un congrès
32nd Annual Conference of the IEEE Engineering in Medicine and Biology Society (EMBC'2010), Aug 2010, Buenos Aires, Argentina. pp.5955-5958, 2010, 〈10.1109/IEMBS.2010.5627563〉
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https://hal.archives-ouvertes.fr/hal-00624700
Contributeur : Nicolas Rougon <>
Soumis le : lundi 19 septembre 2011 - 15:15:35
Dernière modification le : mardi 10 octobre 2017 - 11:22:03

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Sameh Hamrouni, Nicolas Rougon, Françoise Prêteux. Spatio-temporal registration of cardiac perfusion MRI exams using high-dimensional mutual information. 32nd Annual Conference of the IEEE Engineering in Medicine and Biology Society (EMBC'2010), Aug 2010, Buenos Aires, Argentina. pp.5955-5958, 2010, 〈10.1109/IEMBS.2010.5627563〉. 〈hal-00624700〉

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