Automatic exploration and morphometry/morphology assessment of medical image databases

Alexandre Guimond; Gerard Subsol; Jean Meunier; Jean-Philippe Thirion

doi:10.1117/12.274152

25 April 1997 Automatic exploration and morphometry/morphology assessment of medical image databases

Alexandre Guimond, Gerard Subsol, Jean Meunier, Jean-Philippe Thirion

Proceedings Volume 3034, Medical Imaging 1997: Image Processing; (1997) https://doi.org/10.1117/12.274152
Event: Medical Imaging 1997, 1997, Newport Beach, CA, United States

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.

Citation Download Citation

Alexandre Guimond, Gerard Subsol, Jean Meunier, and Jean-Philippe Thirion "Automatic exploration and morphometry/morphology assessment of medical image databases", Proc. SPIE 3034, Medical Imaging 1997: Image Processing, (25 April 1997); https://doi.org/10.1117/12.274152

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