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Proceedings Paper

Methodology for evaluation of image segmentation algorithms on medical images
Author(s): Vikram Chalana; Yongmin Kim
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Paper Abstract

In this paper, we propose a methodology for evaluating medical image segmentation algorithms where the only information available is boundaries outlined by multiple expert observers. In this case, the results of the segmentation algorithm can be evaluated against the multiple observers' outlines. We have derived statistics to enable us to find whether the computer-generated boundaries agree with the observers' hand-outlined boundaries as much as the different observers agree with each other. We illustrate the use of this methodology by evaluating image segmentation algorithms on two different applications in ultrasound imaging. In the first application, we attempt to find the epicardial and endocardial boundaries from cardiac ultrasound images, and in the second application, our goal is to find the fetal skull boundaries from prenatal ultrasound images.

Paper Details

Date Published: 16 April 1996
PDF: 12 pages
Proc. SPIE 2710, Medical Imaging 1996: Image Processing, (16 April 1996); doi: 10.1117/12.237922
Show Author Affiliations
Vikram Chalana, Univ. of Washington (United States)
Yongmin Kim, Univ. of Washington (United States)


Published in SPIE Proceedings Vol. 2710:
Medical Imaging 1996: Image Processing
Murray H. Loew; Kenneth M. Hanson, Editor(s)

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