Live-wire-based segmentation using similarities between corresponding image structures.

TitleLive-wire-based segmentation using similarities between corresponding image structures.
Publication TypeJournal Article
Year of Publication2007
AuthorsFärber M., Ehrhardt J., Handels H.
JournalComputerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society
Volume31
Issue7
Pages549-60
Date Published2007 Oct
Publication Languageeng
ISSN0895-6111
KeywordsAlgorithms, Germany, Humans, Image Processing, Computer-Assisted, Imaging, Three-Dimensional, Magnetic Resonance Imaging
Abstract

A live-wire-based segmentation method that exploits similarities of corresponding object contours is presented. The method accelerates the segmentation process transferring anchor points of segmented reference contours to unsegmented target slices automatically. The target contours are created using the live-wire algorithm trained by features of the reference contours. An automatic contour correction improves the segmentation. Only few user interactions with an intuitive contour editor are necessary. The evaluation using intra- and interpatient transfer shows that 51-73% of interaction time can be saved compared to normal live-wire preserving the segmentation quality.

DOI10.1016/j.compmedimag.2007.06.005
PubMed Link

http://www.ncbi.nlm.nih.gov/pubmed/17689052?dopt=Abstract

Alternate JournalComput Med Imaging Graph
Created at October 29, 2012 - 3:58pm by Kulbe.

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