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Proceedings Paper

Automated organ recognition using 3D mathematical morphology
Author(s): John P. Strupp; Robert M. Haralick
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Paper Abstract

A method for fully automated organ recognition in 3D medical image volumes is investigated. A mathematical model for organ recognition is presented which exploits the fact that although the precise anatomy among patients differs, the basic shape of organs is consistent as are the spatial relationships between organs. 3D mathematical morphology procedures based on this model are developed using a description to algorithm translation method. The procedures first isolate an organ search volume based on the location of other organs and then extracts the goal organ using shape criteria encoded in structuring elements.

Paper Details

Date Published: 14 September 1993
PDF: 13 pages
Proc. SPIE 1898, Medical Imaging 1993: Image Processing, (14 September 1993); doi: 10.1117/12.154538
Show Author Affiliations
John P. Strupp, Boeing Defense & Space Group (United States)
Robert M. Haralick, Univ. of Washington (United States)

Published in SPIE Proceedings Vol. 1898:
Medical Imaging 1993: Image Processing
Murray H. Loew, Editor(s)

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