Statistical and topological atlas based brain image segmentation.

Pierre Louis Bazin, Dzung L. Pham

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

This paper presents a new atlas-based segmentation framework for the delineation of major regions in magnetic resonance brain images employing an atlas of the global topological structure as well as a statistical atlas of the regions of interest. A segmentation technique using fast marching methods and tissue classification is proposed that guarantees strict topological equivalence between the segmented image and the atlas. Experimental validation on simulated and real brain images shows that the method is accurate and robust.

Original languageEnglish (US)
Title of host publicationMedical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention
Pages94-101
Number of pages8
Volume10
EditionPt 1
StatePublished - 2007

ASJC Scopus subject areas

  • Medicine(all)

Fingerprint

Dive into the research topics of 'Statistical and topological atlas based brain image segmentation.'. Together they form a unique fingerprint.

Cite this