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Optical Engineering

Fast and fully automatic phalanx segmentation using a grayscale-histogram morphology algorithm
Author(s): Chi-Wen Hsieh; Din-Yuen Chan; Tzu-Chiang Liu; Chui-Mei Tiu; Tai-Lang Jong; Chih-Yen Chen
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Paper Abstract

Bone age assessment is a common radiological examination used in pediatrics to diagnose the discrepancy between the skeletal and chronological age of a child; therefore, it is beneficial to develop a computer-based bone age assessment to help junior pediatricians estimate bone age easily. Unfortunately, the phalanx on radiograms is not easily separated from the background and soft tissue. Therefore, we proposed a new method, called the grayscale-histogram morphology algorithm, to segment the phalanges fast and precisely. The algorithm includes three parts: a tri-stage sieve algorithm used to eliminate the background of hand radiograms, a centroid-edge dual scanning algorithm to frame the phalanx region, and finally a segmentation algorithm based on disk traverse-subtraction filter to segment the phalanx. Moreover, two more segmentation methods: adaptive two-mean and adaptive two-mean clustering were performed, and their results were compared with the segmentation algorithm based on disk traverse-subtraction filter using five indices comprising misclassification error, relative foreground area error, modified Hausdorff distances, edge mismatch, and region nonuniformity. In addition, the CPU time of the three segmentation methods was discussed. The result showed that our method had a better performance than the other two methods. Furthermore, satisfactory segmentation results were obtained with a low standard error.

Paper Details

Date Published: 1 August 2011
PDF: 15 pages
Opt. Eng. 50(8) 087007 doi: 10.1117/1.3613940
Published in: Optical Engineering Volume 50, Issue 8
Show Author Affiliations
Chi-Wen Hsieh, National Chiayi Univ. (Taiwan)
Din-Yuen Chan, National Chiayi Univ. (Taiwan)
Tzu-Chiang Liu, Taipei Veterans General Hospital (Taiwan)
Chui-Mei Tiu, Taipei Veterans General Hospital (Taiwan)
Tai-Lang Jong, National Tsing Hua Univ. (Taiwan)
Chih-Yen Chen, National Tsing Hua Univ. (Taiwan)


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