Automatic delineation and 3D visualization of the human ventricular system using probabilistic neural networks

Fraser N. Hatfield; Jamshid Dehmeshki

doi:10.1117/12.324128

7 September 1998 Automatic delineation and 3D visualization of the human ventricular system using probabilistic neural networks

Fraser N. Hatfield, Jamshid Dehmeshki

Author Affiliations +

Proceedings Volume 3409, Electronic Imaging: Processing, Printing, and Publishing in Color; (1998) https://doi.org/10.1117/12.324128
Event: SYBEN-Broadband European Networks and Electronic Image Capture and Publishing, 1998, Zurich, Switzerland

Abstract

Neurosurgery is an extremely specialized area of medical practice, requiring many years of training. It has been suggested that virtual reality models of the complex structures within the brain may aid in the training of neurosurgeons as well as playing an important role in the preparation for surgery. This paper focuses on the application of a probabilistic neural network to the automatic segmentation of the ventricles from magnetic resonance images of the brain, and their three dimensional visualization.

Citation Download Citation

Fraser N. Hatfield and Jamshid Dehmeshki "Automatic delineation and 3D visualization of the human ventricular system using probabilistic neural networks", Proc. SPIE 3409, Electronic Imaging: Processing, Printing, and Publishing in Color, (7 September 1998); https://doi.org/10.1117/12.324128

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