Co-segmentation of multiple images into multiple regions: Application to mouse brain MRI: Application to mouse brain MRI

Shiri Gordon, Irit Dolgopyat, Itamar Kahn, Tamar Riklin Raviv

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

3 Scopus citations

Abstract

Challenging biomedical segmentation problems can be addressed by combining top-down information based on the known anatomy along with bottom-up models of the image data. Anatomical priors can be provided by probabilistic atlases. Nevertheless, in many cases the available atlases are inadequate. We present a novel method for the co-segmentation of multiple images into multiple regions, where only a very few annotated examples exist. The underlying, unknown anatomy is learned throughout an interleaved process, in which the segmentation of a region is supported both by the segmentation of the neighboring regions which share common boundaries and by the segmentation of corresponding regions in the other jointly segmented images. The method is applied to a mouse brain MRI dataset for the segmentation of five anatomical structures. Experimental results demonstrate the segmentation accuracy with respect to the data complexity.
Original languageEnglish GB
Title of host publication2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI)
Subtitle of host publicationFrom Nano to Macro, ISBI 2016 - Proceedings
PublisherIEEE Computer Society
Pages399-402
Number of pages4
ISBN (Electronic)9781479923502
DOIs
StatePublished - 2016
Event2016 IEEE 13th International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2016 - Prague, Czech Republic
Duration: 13 Apr 201616 Apr 2016

Publication series

NameProceedings - International Symposium on Biomedical Imaging
Volume2016-June
ISSN (Print)1945-7928
ISSN (Electronic)1945-8452

Conference

Conference2016 IEEE 13th International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2016
Country/TerritoryCzech Republic
CityPrague
Period13/04/1616/04/16

Keywords

  • atlases
  • brain MRI
  • joint segmentation
  • level sets

ASJC Scopus subject areas

  • Biomedical Engineering
  • Radiology Nuclear Medicine and imaging

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