| MR/CT multimodal registration of short-axis slices in CT volumes. | |
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MedLine Citation:
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PMID: 18003004 Owner: NLM Status: MEDLINE |
Abstract/OtherAbstract:
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This paper deals with the registration of Magnetic Resonance (MR) and Computerized Tomography (CT) cardiac images. We use a multimodal iconic algorithm based on the maximisation of the mutual information of the joint histogram of two images. We apply it to the registration of MR and CT cardiac images. The purpose is to determine in a (3D+t) CT data volume, short-axis slices that correspond to the (2D+t) short-axis MR slices, acquired on the same patient. The couples of images should be similar according to their spatial position, orientation and cardiac cycle phase. We used the Powell's direction set optimization method for the maximisation of the mutual information, which gives good results with an appropriate initialization. |
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Authors:
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Y Chenoune; Y Bouaoune; E Deléchelle; E Petit; J Garot; A Rahmouni |
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Publication Detail:
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Type: Journal Article |
Journal Detail:
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Title: Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Conference Volume: 2007 ISSN: 1557-170X ISO Abbreviation: Conf Proc IEEE Eng Med Biol Soc Publication Date: 2007 |
Date Detail:
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Created Date: 2007-11-16 Completed Date: 2008-04-08 Revised Date: - |
Medline Journal Info:
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Nlm Unique ID: 101243413 Medline TA: Conf Proc IEEE Eng Med Biol Soc Country: United States |
Other Details:
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Languages: eng Pagination: 4496-9 Citation Subset: IM |
Affiliation:
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Laboratoire Images, Signaux et Systèmes Intelligents of Université Paris XII, 61 avenue du Général de Gaulle, 94010 Créteil cedex, France. chenoune@univ-paris12.fr |
Export Citation:
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| MeSH Terms | |
Descriptor/Qualifier:
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Algorithms* Heart / radiography* Humans Image Processing, Computer-Assisted / methods* Magnetic Resonance Imaging / methods* Myocardial Contraction Tomography, X-Ray Computed |
From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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