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Cardiac medial modeling and time-course heart wall thickness analysis.
Sun, Hui; Avants, Brian B; Frangi, Alejandro F; Sukno, Federico; Geel, James C; Yushkevich, Paul A.
Afiliación
  • Sun H; Department of Radiology, University of Pennsylvania, Philadelphia, PA, USA.
Med Image Comput Comput Assist Interv ; 11(Pt 2): 766-73, 2008.
Article en En | MEDLINE | ID: mdl-18982674
The medial model is a powerful shape representation method that models a 3D object by explicitly defining its skeleton (medial axis) and deriving the boundary geometry according to medial geometry. It has been recently extended to model complex shapes with multi-figures, i.e., shapes whose skeletons can not be described by a single sheet in 3D. This paper applied the medial model to a 2-chamber heart data set consisting of 428 cardiac shapes from 90 subjects. The results show that the medial model can capture the heart shape accurately. To demonstrate the usage of the medial model, the changes of the heart wall thickness over time are analyzed. We calculated the mean heart wall thickness map of 90 subjects for different phases of the cardiac cycle, as well as the mean thickness change between phases.
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Bases de datos: MEDLINE Asunto principal: Algoritmos / Imagen por Resonancia Magnética / Interpretación de Imagen Asistida por Computador / Técnica de Sustracción / Imagenología Tridimensional / Miocardio Tipo de estudio: Diagnostic_studies / Prognostic_studies Límite: Humans Idioma: En Revista: Med Image Comput Comput Assist Interv Asunto de la revista: DIAGNOSTICO POR IMAGEM / INFORMATICA MEDICA Año: 2008 Tipo del documento: Article País de afiliación: Estados Unidos
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Bases de datos: MEDLINE Asunto principal: Algoritmos / Imagen por Resonancia Magnética / Interpretación de Imagen Asistida por Computador / Técnica de Sustracción / Imagenología Tridimensional / Miocardio Tipo de estudio: Diagnostic_studies / Prognostic_studies Límite: Humans Idioma: En Revista: Med Image Comput Comput Assist Interv Asunto de la revista: DIAGNOSTICO POR IMAGEM / INFORMATICA MEDICA Año: 2008 Tipo del documento: Article País de afiliación: Estados Unidos