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The use of active shape models for making thickness measurements of articular cartilage from MR images

✍ Scribed by Stuart Solloway; Charles E. Hutchinson; John C. Waterton; Christopher J. Taylor


Publisher
John Wiley and Sons
Year
1997
Tongue
English
Weight
1001 KB
Volume
37
Category
Article
ISSN
0740-3194

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✦ Synopsis


Abstract

Previously reported studies to quantify articular cartilage have used labor‐intensive manual or semi‐automatic data‐driven techniques, demonstrating high accuracy and precision. However, none has been able to automate the segmentation process. This paper describes a fast, automatic, modelbased approach to segmentation and thickness measurement of the femoral cartilage in 3D T~1~‐weighted images using active shape models (ASMs). Systematic experiments were performed to assess the accuracy and precision of the technique with in vivo images of both normal and abnormal knees. Segmentation accuracy was determined by comparing the results of the segmentation with the boundaries delineated by a radiologist. The mean error in locating the boundary was 0.57 pixels. To assess the precision of the measurement technique, the mean thickness of the femoral cartilage was calculated for repeated scans of five healthy volunteers. A mean coefficient of variation (CV) of 2.8% was obtained for the thickness measurements.


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We have developed an algorithm to estimate and display the spatial distribution of the thickness of articular cartilage in human knees. We used a simulation to derive the most appropriate formula for estimating thickness in digital images. The algorithm was tested by imaging a thickness phantom and