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Proceedings Paper

Macro-driven semiautomation of routine medical imaging segmentation tasks
Author(s): James E. Cabral; Keith S. White; Yongmin Kim
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Paper Abstract

We have achieved a significant decrease in time required to segment certain image types through the use of semiautomated macros. These macros reduce much of the tedium of using segmentation tools by providing an initial first pass at segmentation to be followed by final interactive segmentation by a radiologist. The macros are selected based on image type and target tissue and rely on signal characteristics inherent to the image type and tissue. Techniques such as this to reduce the time requirements for segmentation of medical images are essential for mainstream acceptance of computer-assisted segmentation tools into the clinical environment.

Paper Details

Date Published: 11 May 1994
PDF: 7 pages
Proc. SPIE 2167, Medical Imaging 1994: Image Processing, (11 May 1994); doi: 10.1117/12.175123
Show Author Affiliations
James E. Cabral, Univ. of Washington (United States)
Keith S. White, Children's Hospital and Medical Ctr. (United States)
Yongmin Kim, Univ. of Washington (United States)


Published in SPIE Proceedings Vol. 2167:
Medical Imaging 1994: Image Processing
Murray H. Loew, Editor(s)

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