Automated segmentation of the left and right ventricles in 4D cardiac SPAMM images

Albert Montillo, Dimitris Metaxas, Leon Axel

Research output: Chapter in Book/Report/Conference proceedingConference contribution

36 Scopus citations

Abstract

In this paper we describe a completely automated volume-based method for the segmentation of the left and right ventricles in 4D tagged MR (SPAMM) images for quantitative cardiac analysis. We correct the background intensity variation in each volume caused by surface coils using a new scalebased fuzzy connectedness procedure. We apply 3D grayscale opening to the corrected data to create volumes containing only the blood filled regions. We threshold the volumes by minimizing region variance or by an adaptive statistical thresholding method. We isolate the ventricular blood filled regions using a novel approach based on spatial and temporal shape similarity. We use these regions to define the endocardium contours and use them to initialize an active contour that locates the epicardium through the gradient vector flow of an edgemap of a grayscale-closed image. Both quantitative and qualitative results on normal and diseased patients are presented.

Original languageEnglish (US)
Title of host publicationMedical Image Computing and Computer-Assisted Intervention - MICCAI 2002 - 5th International Conference, Proceedings
EditorsTakeyoshi Dohi, Ron Kikinis
PublisherSpringer Verlag
Pages620-633
Number of pages14
ISBN (Print)9783540457862
DOIs
StatePublished - 2002
Event5th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2002 - Tokyo, Japan
Duration: Sep 25 2002Sep 28 2002

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume2488
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other5th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2002
Country/TerritoryJapan
CityTokyo
Period9/25/029/28/02

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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