DocumentCode
1652451
Title
An interactive tool for segmentation, visualization, and navigation of magnetic resonance images
Author
Faulkner, A. ; Bhandarkar, S.
Author_Institution
Dept. of Comput. Sci., Georgia Univ., Athens, GA, USA
fYear
2003
Firstpage
340
Lastpage
345
Abstract
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.
Keywords
biomedical MRI; graphical user interfaces; image classification; image segmentation; medical image processing; abstraction tree; accurate diagnoses; hierarchical self-organizing map; interactive tool; multiple scales; navigation; segmentation; segmented magnetic resonance images; user-friendly graphical user interface; visualization; Artificial neural networks; Biomedical imaging; Computer science; Graphical user interfaces; Image segmentation; Magnetic resonance; Medical diagnostic imaging; Navigation; Tree graphs; Visualization;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer-Based Medical Systems, 2003. Proceedings. 16th IEEE Symposium
Conference_Location
New York, NY, USA
ISSN
1063-71258
Print_ISBN
0-7695-1901-6
Type
conf
DOI
10.1109/CBMS.2003.1212812
Filename
1212812
Link To Document