Conference proceeding
Synthesizing average 3D anatomical shapes using deformable templates
Proceedings of SPIE, Vol.3661(1), pp.574-582
Medical Imaging 1999: Image Processing (1999)
05/21/1999
DOI: 10.1117/12.348613
Abstract
A major task in diagnostic medicine is to determine whether or not an individual has a normal or abnormal anatomy by examining medical images such as MRI, CT, etc. Unfortunately, there are few quantitative measures that a physician can use to discriminate between normal and abnormal besides a couple of length, width, height, and volume measurements. In fact, there is no definition/picture of what normal anatomical structures--such as the brain-- look like let alone normal anatomical variation. The goal of this work is to synthesize average 3D anatomical shapes using deformable templates. We present a method for empirically estimating the average shape and variation of a set of 3D medical image data sets collected from a homogeneous population of topologically similar anatomies. Results are shown for synthesizing the average brain image volume from a set of six normal adults and synthesizing the average skull/head image volume from a set of five 3 - 4 month old infants with sagittal synostosis.
Details
- Title: Subtitle
- Synthesizing average 3D anatomical shapes using deformable templates
- Creators
- Gary E Christensen - University of IowaHans J Johnson - University of IowaJohn W Haller - University of IowaJenny Melloy - University of IowaMichael W Vannier - Univ. of Iowa (USA)Jeffrey L Marsh - Washington Univ. School of Medicine (USA)
- Resource Type
- Conference proceeding
- Publication Details
- Proceedings of SPIE, Vol.3661(1), pp.574-582
- Conference
- Medical Imaging 1999: Image Processing (1999)
- DOI
- 10.1117/12.348613
- ISSN
- 0277-786X
- Language
- English
- Date published
- 05/21/1999
- Academic Unit
- Electrical and Computer Engineering; Roy J. Carver Department of Biomedical Engineering; Radiation Research Laboratory; Radiation Oncology; Psychiatry
- Record Identifier
- 9984185365502771
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