Automatic bilateral symmetry (midsagittal) plane extraction from pathological 3D neuroradiological images

Yanxi Liu; Robert T. Collins; William E. Rothfus

doi:10.1117/12.310886

24 June 1998 Automatic bilateral symmetry (midsagittal) plane extraction from pathological 3D neuroradiological images

Yanxi Liu, Robert T. Collins, William E. Rothfus

Proceedings Volume 3338, Medical Imaging 1998: Image Processing; (1998) https://doi.org/10.1117/12.310886
Event: Medical Imaging '98, 1998, San Diego, CA, United States

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.

Citation Download Citation

Yanxi Liu, Robert T. Collins, and William E. Rothfus "Automatic bilateral symmetry (midsagittal) plane extraction from pathological 3D neuroradiological images", Proc. SPIE 3338, Medical Imaging 1998: Image Processing, (24 June 1998); https://doi.org/10.1117/12.310886

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