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Proceedings Paper

Automatic exploration and morphometry/morphology assessment of medical image databases
Author(s): Alexandre Guimond; Gerard Subsol; Jean Meunier; Jean-Philippe Thirion
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Paper Abstract

The design of representative models of the human body is of great interest to medical doctors. Qualitative information about the characteristics of the brain is widely available, but due to the volume of information that needs to be analyzed and the complexity of its structure, rarely is there quantification according to a standard model. To address this problem, we propose in this paper an automatic method to retrieve corresponding structures from a database of medical images. This procedure being local and fast, will permit navigation through large databases in a practical amount of time. We present as examples of applications the building of an average volume of interest and preliminary results of classification according to morphology.

Paper Details

Date Published: 25 April 1997
PDF: 12 pages
Proc. SPIE 3034, Medical Imaging 1997: Image Processing, (25 April 1997); doi: 10.1117/12.274152
Show Author Affiliations
Alexandre Guimond, Univ. de Montreal (Canada) and INRIA (France)
Gerard Subsol, INRIA (France)
Jean Meunier, Univ. de Montreal (Canada)
Jean-Philippe Thirion, INRIA (France)

Published in SPIE Proceedings Vol. 3034:
Medical Imaging 1997: Image Processing
Kenneth M. Hanson, Editor(s)

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