Shape-based interactive three-dimensional medical image segmentation

Kevin P. Hinshaw; James F. Brinkley M.D.

doi:10.1117/12.274113

25 April 1997 Shape-based interactive three-dimensional medical image segmentation

Kevin P. Hinshaw, James F. Brinkley M.D.

Author Affiliations +

Proceedings Volume 3034, Medical Imaging 1997: Image Processing; (1997) https://doi.org/10.1117/12.274113
Event: Medical Imaging 1997, 1997, Newport Beach, CA, United States

Abstract

Accurate image segmentation continues to be one of the biggest challenges in medical image analysis. Simple, low- level vision techniques have had limited success in this domain because of the visual complexity of medical images. This paper presents a 3-D shape model that uses prior knowledge of an object's structure to guide the search for its boundaries. The shape model has been incorporated into scanner, an interactive software package for image segmentation. We describe a graphical user interface that was developed for finding the surface of the brain and explain how the 3-D model assists with the segmentation process. Preliminary experiments show that with this shape- based approach, a low-resolution boundary for a surface can be found with two-thirds less work for the user than with a comparable manual method.

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Kevin P. Hinshaw and James F. Brinkley M.D. "Shape-based interactive three-dimensional medical image segmentation", Proc. SPIE 3034, Medical Imaging 1997: Image Processing, (25 April 1997); https://doi.org/10.1117/12.274113

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