Model-based 3D analysis of MR images of the brain

Louis Arata, Atam P. Dhawan, Joseph Broderick, Mary Gaskil

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

6 Scopus citations

Abstract

The results of a semi-automatic 3-D model-based image analysis system which is being developed to segment, register, and analyze magnetic resonance (MR) images of the brain are presented. This image analysis system uses current knowledge of neuroanatomy in the form of masks which can be updated after a successful 3-D analysis is completed and validated. Thus, the accuracy of the masks will improve as the system is used for 3-D analysis of MR scans of the brain. It is believed that by analyzing a large number of MR scans categorized in groups as defined by age, race, etc., the models can be continuously updated using the validated results of 3-D analysis.

Original languageEnglish (US)
Title of host publicationProceedings of the Annual Conference on Engineering in Medicine and Biology
PublisherPubl by IEEE
Pages1331-1332
Number of pages2
Editionpt 3
ISBN (Print)0780302168
StatePublished - Dec 1 1991
Externally publishedYes
EventProceedings of the 13th Annual International Conference of the IEEE Engineering in Medicine and Biology Society - Orlando, FL, USA
Duration: Oct 31 1991Nov 3 1991

Publication series

NameProceedings of the Annual Conference on Engineering in Medicine and Biology
Numberpt 3
Volume13
ISSN (Print)0589-1019

Other

OtherProceedings of the 13th Annual International Conference of the IEEE Engineering in Medicine and Biology Society
CityOrlando, FL, USA
Period10/31/9111/3/91

All Science Journal Classification (ASJC) codes

  • Signal Processing
  • Biomedical Engineering
  • Computer Vision and Pattern Recognition
  • Health Informatics

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