Literature DB >> 18218390

Feature extraction in carpal-bone analysis.

E Pietka1, L Kaabi, M L Kuo, H K Huang.   

Abstract

Hand-bone analysis with image processing techniques using a digital radiograph can be used to assess skeletal age. The analysis consists of two steps: phalangeal and carpal bone analysis. The carpal bone analysis is discussed. First, the carpal bone region of interest (CROI) is defined using a standard thresholding technique to separate the hand from the background. Then, a dynamic thresholding method with variable window sizes is used to differentiate between the bones and the soft tissue. Next, the radius, ulna, and metacarpals intersecting the borders of the CROI are removed by using mathematical morphology. Finally, all objects included in the corrected CROI are separated and described in terms of features. These features describe the size, shape, and location and include some gray-scale pixel value information. On the basis of this analysis, the separation of the noncarpal bone objects from the carpal bone is possible. The feature selection step removes features of low discriminant power and reduces the space dimension. The remaining carpal bone parameters are used for further analysis leading to skeletal age assessment.

Year:  1993        PMID: 18218390     DOI: 10.1109/42.222665

Source DB:  PubMed          Journal:  IEEE Trans Med Imaging        ISSN: 0278-0062            Impact factor:   10.048


  7 in total

1.  A fuzzy-based growth model with principle component analysis selection for carpal bone-age assessment.

Authors:  Chi-Wen Hsieh; Tzu-Chiang Liu; Tai-Lang Jong; Chui-Mei Tiu
Journal:  Med Biol Eng Comput       Date:  2010-04-20       Impact factor: 2.602

2.  Bone age estimation based on phalanx information with fuzzy constrain of carpals.

Authors:  Chi-Wen Hsieh; Tai-Lang Jong; Chui-Mei Tiu
Journal:  Med Biol Eng Comput       Date:  2007-01-23       Impact factor: 2.602

3.  Automatic bone age assessment for young children from newborn to 7-year-old using carpal bones.

Authors:  Aifeng Zhang; Arkadiusz Gertych; Brent J Liu
Journal:  Comput Med Imaging Graph       Date:  2007-03-21       Impact factor: 4.790

4.  Bone age assessment in young children using automatic carpal bone feature extraction and support vector regression.

Authors:  Krit Somkantha; Nipon Theera-Umpon; Sansanee Auephanwiriyakul
Journal:  J Digit Imaging       Date:  2011-12       Impact factor: 4.056

5.  Bone age assessment of children using a digital hand atlas.

Authors:  Arkadiusz Gertych; Aifeng Zhang; James Sayre; Sylwia Pospiech-Kurkowska; H K Huang
Journal:  Comput Med Imaging Graph       Date:  2007-03-26       Impact factor: 4.790

6.  An artifacts removal post-processing for epiphyseal region-of-interest (EROI) localization in automated bone age assessment (BAA).

Authors:  Hum Yan Chai; Lai Khin Wee; Tan Tian Swee; Sh-Hussain Salleh; Lim Yee Chea
Journal:  Biomed Eng Online       Date:  2011-09-28       Impact factor: 2.819

7.  An Automated System for Skeletal Maturity Assessment by Extreme Learning Machines.

Authors:  Marjan Mansourvar; Shahaboddin Shamshirband; Ram Gopal Raj; Roshan Gunalan; Iman Mazinani
Journal:  PLoS One       Date:  2015-09-24       Impact factor: 3.240

  7 in total

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