Segmentation of Cardiac Structures Simultaneously from Short- and Long-axis MR Images

Juha Koikkalainen, Mika Pollari, Jyrki Lötjönen, Sari Kivistö, Kirsi Lauerma

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

7 Citations (Scopus)


We introduce a framework for the automatic segmentation of the ventricles, atria, and epicardium simultaneously from cardiac magnetic resonance (MR) volumes. The basic idea is to utilize both shortaxis (SA) and long-axis (LA) MR volumes. Consequently, anatomical information is available from the whole heart volume. In this paper, the framework is used with deformable model based registration and segmentation methods to segment the cardiac structures. A database consisting of the cardiac MR volumes of 25 healthy subjects is used to validate the methods. The results presented in this paper prove that by using both the SA and LA MR volumes the ventricles and atria can be simultaneously segmented from cardiac MR volumes with a good accuracy. The results show that notably better segmentation results are obtained when the LA volumes are used in addition to the SA volumes. For example, this enables accurate segmentation of the ventricles also in the basal and apical levels.
Original languageEnglish
Title of host publicationMedical Image Computing and Computer-Assisted Intervention - MICCAI 2004
EditorsChristian Barillot, David R. Haynor, Pierre Hellier
Place of PublicationHeidelberg
ISBN (Electronic)978-3-540-30135-6
ISBN (Print)978-3-540-22976-6
Publication statusPublished - 2004
MoE publication typeA4 Article in a conference publication
Event7th International Conference MICCAI 2004 - Saint-Malo, France
Duration: 26 Sept 200429 Sept 2004

Publication series

SeriesLecture Notes in Computer Science


Conference7th International Conference MICCAI 2004


  • segmentation
  • deformable models
  • cardiac


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