16 April 1996 Methodology for evaluation of image segmentation algorithms on medical images
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Proceedings Volume 2710, Medical Imaging 1996: Image Processing; (1996); doi: 10.1117/12.237922
Event: Medical Imaging 1996, 1996, Newport Beach, CA, United States
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.
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Vikram Chalana, Yongmin Kim, "Methodology for evaluation of image segmentation algorithms on medical images", Proc. SPIE 2710, Medical Imaging 1996: Image Processing, (16 April 1996); doi: 10.1117/12.237922; https://doi.org/10.1117/12.237922
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KEYWORDS
Image processing algorithms and systems

Image segmentation

Distance measurement

Medical imaging

Fetus

Skull

Ultrasonography

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