Image analysis for skeletal evaluation of carpal bones

Chien Chuan Ko, Chi Wu Mao, Chi Jen Lin, Yung-Nien Sun

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)


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.

Original languageEnglish
Title of host publicationProceedings of SPIE - The International Society for Optical Engineering
PublisherSociety of Photo-Optical Instrumentation Engineers
Number of pages11
ISBN (Print)0819418587
Publication statusPublished - 1995 Jan 1
EventVisual Communications and Image Processing '95 - Taipei, Taiwan
Duration: 1995 May 241995 May 26

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
ISSN (Print)0277-786X


OtherVisual Communications and Image Processing '95
CityTaipei, Taiwan

All Science Journal Classification (ASJC) codes

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering


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