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Proceedings Paper

Automatic bilateral symmetry (midsagittal) plane extraction from pathological 3D neuroradiological images
Author(s): Yanxi Liu; Robert T. Collins; William E. Rothfus
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Paper Abstract

Most pathologies (tumor, bleed, stroke) of the human brain can be determined by a symmetry-based analysis of neural scans showing the brain's 3D internal structure. Detecting departures of this internal structure from its normal bilateral symmetry can guide the classification of abnormalities. This process is facilitated by first locating the ideal symmetry plane (midsagittal) with respect to which the brain is invariant under reflection. An algorithm to automatically identify this bilateral symmetry plane from a given 3D clinical image has been developed. The method has been tested on both normal and pathological brain scans, multimodal data (CT and MR), and on coarsely sliced samples with elongated voxel sizes.

Paper Details

Date Published: 24 June 1998
PDF: 12 pages
Proc. SPIE 3338, Medical Imaging 1998: Image Processing, (24 June 1998); doi: 10.1117/12.310886
Show Author Affiliations
Yanxi Liu, Carnegie Mellon Univ. (United States)
Robert T. Collins, Carnegie Mellon Univ. (United States)
William E. Rothfus, Allegheny Univ. of the Health Sciences (United States)


Published in SPIE Proceedings Vol. 3338:
Medical Imaging 1998: Image Processing
Kenneth M. Hanson, Editor(s)

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