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An interactive tool for segmentation, visualization, and navigation of magnetic resonance images

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2 Author(s)
Faulkner, A. ; Dept. of Comput. Sci., Georgia Univ., Athens, GA, USA ; Bhandarkar, S.

An interactive tool for the segmentation, visualization and navigation of magnetic resonance (MR) images is presented. Previous work has shown the hierarchical self-organizing map (HSOM) to be highly effective in segmenting MR images at multiple scales or levels of abstraction. The resulting abstraction tree represents the multiscale segmentation of the MR image. A segmented MR image at any desired scale or level of detail can be obtained by appropriate traversal of the abstraction tree. The interactive tool permits traversal of the abstraction tree using a user-friendly graphical user interface (GUI) allowing the user to view the segmented MR image or any portion thereof at the desired level of detail. The tool could be used by radiologists to effectively sift through large amounts of MR image data to arrive at accurate diagnoses in an expeditious manner.

Published in:

Computer-Based Medical Systems, 2003. Proceedings. 16th IEEE Symposium

Date of Conference:

26-27 June 2003

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