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Dual B-spline Snake for Interactive Myocardial Segmentation
ISIT UMR6284 CNRS, Univ. d’Auvergne BP10448, F-63000 Clermont-Ferrand.
ISIT UMR6284 CNRS, Univ. d’Auvergne BP10448, F-63000 Clermont-Ferrand.
Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Visual Information and Interaction. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computerized Image Analysis and Human-Computer Interaction.
KEOSYS Company 1, impasse Auguste Fresnel, F 44815 Saint Herblain.
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2013 (English)Conference paper, Published paper (Refereed)
Abstract [en]

This paper presents a novel interactive segmentation formalism based on two coupledB-Spline snake models to efficiently and simultaneously extract myocardial walls fromshort-axis magnetic resonance images. The main added value of this model is interactionas it is possible to quickly and intuitively correct the result in complex cases withoutrestarting the whole segmentation working flow. During this process, energies computedfrom the images guide the user to the best position of the model.

Place, publisher, year, edition, pages
2013.
National Category
Medical Image Processing
Identifiers
URN: urn:nbn:se:uu:diva-212567OAI: oai:DiVA.org:uu-212567DiVA: diva2:678336
Conference
Medical Image Understanding and Analysis (MIUA), UK
Available from: 2013-12-11 Created: 2013-12-11 Last updated: 2013-12-11

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Strand, Robin

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