21 April 1995 Image analysis for skeletal evaluation of carpal bones
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Proceedings Volume 2501, Visual Communications and Image Processing '95; (1995) https://doi.org/10.1117/12.206801
Event: Visual Communications and Image Processing '95, 1995, Taipei, Taiwan
Abstract
The assessment of bone age is an important field to the pediatric radiology. It provides very important information for treatment and prediction of skeletal growth in a developing child. So far, various computerized algorithms for automatically assessing the skeletal growth have been reported. Most of these methods made attempt to analyze the phalangeal growth. The most fundamental step in these automatic measurement methods is the image segmentation that extracts bones from soft-tissue and background. These automatic segmentation methods of hand radiographs can roughly be categorized into two main approaches that are edge and region based methods. This paper presents a region-based carpal-bone segmentation approach. It is organized into four stages: contrast enhancement, moment-preserving thresholding, morphological processing, and region-growing labeling.
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Chien-Chuan Ko, Chien-Chuan Ko, Chi-Wu Mao, Chi-Wu Mao, Chi-Jen Lin, Chi-Jen Lin, Yung-Nien Sun, Yung-Nien Sun, } "Image analysis for skeletal evaluation of carpal bones", Proc. SPIE 2501, Visual Communications and Image Processing '95, (21 April 1995); doi: 10.1117/12.206801; https://doi.org/10.1117/12.206801
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