Adaptive mesh generation for image registration and segmentation

Mads Fogtmann, Rasmus Larsen

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

Abstract

This paper deals with the problem of generating quality tetrahedral meshes for image registration. From an initial coarse mesh the approach matches the mesh to the image volume by combining red-green subdivision and mesh evolution through mesh-to-image matching regularized with a mesh quality measure. The method was tested on a T1 weighted MR volume of an adult brain and showed a 66% reduction in the number of mesh vertices compared to a red-subdivision strategy. The deformation capability of the mesh was tested by registration to five additional T1-weighted MR volumes.
Original languageEnglish
Title of host publication2013 20th IEEE International Conference on Image Processing (ICIP)
PublisherIEEE
Publication date2013
Pages757-760
ISBN (Print)978-1-4799-2341-0
DOIs
Publication statusPublished - 2013
Event2013 IEEE International Conference on Image Processing (ICIP) - Melbourne, Australia
Duration: 15 Sep 201318 Sep 2013
http://www.ieeeicip.org/

Conference

Conference2013 IEEE International Conference on Image Processing (ICIP)
CountryAustralia
CityMelbourne
Period15/09/201318/09/2013
Internet address

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