Automated 3D segmentation using deformable models and fuzzy affinity

Timothy N. Jones, Dimitris N. Metaxas

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

43 Scopus citations


We have developed an algorithm for segmenting objects with closed, non-intersecting boundaries, such as the heart and the lungs, that is independent of the imaging modality used (e.g., MRI, CT, echocardiography). Our method is automatic and requires as initialization a single pixel/voxel within the boundaries of the object. Existing segmentation techniques either require much more information during initialization, such as an approximation to the object's boundary, or are not robust to the types of noisy data encountered in the medical domain. By integrating region-based and physics-based modeling techniques we have devised a hybrid design that overcomes these limitations. In our experiments we demonstrate across imaging modalities, that this integration automates and significantly improves the object boundary detection results. This paper focuses on the application of our method to 3D datasets.

Original languageEnglish (US)
Title of host publicationInformation Processing in Medical Imaging - 15th International Conference, IPMI 1997, Proceedings
EditorsJames Duncan, Gene Gindi
PublisherSpringer Verlag
Number of pages14
ISBN (Print)3540630465, 9783540630463
StatePublished - 1997
Externally publishedYes
Event15th International Conference on Information Processing in Medical Imaging, IPMI 1997 - Poultney, United States
Duration: Jun 9 1997Jun 13 1997

Publication series

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


Other15th International Conference on Information Processing in Medical Imaging, IPMI 1997
CountryUnited States

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)

Fingerprint Dive into the research topics of 'Automated 3D segmentation using deformable models and fuzzy affinity'. Together they form a unique fingerprint.

Cite this