Literature DB >> 7698725

A computerized image analysis system for estimating Tanner-Whitehouse 2 bone age.

J M Tanner1, R D Gibbons.   

Abstract

A method for assigning Tanner-Whitehouse 2 skeletal maturity scores (or bone ages) to hand-wrist X-rays by an image analysis computer system is described. An operator positions the relevant area of the X-ray on a light box beneath a video camera. Correct positioning is assured by computer templates of each bone stage. Thereafter the process is automatic; the computer, not the operator, rates the bones. The system produces continuous stage scores, not discrete ones such as B, C or D. Data are given which show that the computer-assisted skeletal age score is more repeatable than the usual manual (or unassisted) rating. The absolute difference between duplicates averaged 0.25 stages; differences of as much as 1.0 stage occurred in only 3% of duplicates compared with 15% obtained in manual ratings.

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Mesh:

Year:  1994        PMID: 7698725     DOI: 10.1159/000184210

Source DB:  PubMed          Journal:  Horm Res        ISSN: 0301-0163


  7 in total

1.  Clinical application of automated Greulich-Pyle bone age determination in children with short stature.

Authors:  David D Martin; Dorothee Deusch; Roland Schweizer; Gerhard Binder; Hans Henrik Thodberg; Michael B Ranke
Journal:  Pediatr Radiol       Date:  2009-03-31

2.  The digital atlas of skeletal maturity by Gilsanz and Ratib: a suitable alternative for age estimation of living individuals in criminal proceedings?

Authors:  Sven Schmidt; Inna Nitz; Ronald Schulz; Michael Tsokos; Andreas Schmeling
Journal:  Int J Legal Med       Date:  2009-08-18       Impact factor: 2.686

3.  Computer-aided estimation of skeletal age and comparison with bone age evaluations by the method of Greulich-Pyle and Tanner-Whitehouse.

Authors:  H Frisch; S Riedl; T Waldhör
Journal:  Pediatr Radiol       Date:  1996

4.  Automated bone age assessment: motivation, taxonomies, and challenges.

Authors:  Marjan Mansourvar; Maizatul Akmar Ismail; Tutut Herawan; Ram Gopal Raj; Sameem Abdul Kareem; Fariza Hanum Nasaruddin
Journal:  Comput Math Methods Med       Date:  2013-12-16       Impact factor: 2.238

5.  Correlation between Skeletal Age and Metacarpal Bones and Metacarpophalangeal Joints Dimensions.

Authors:  Abdolaziz Haghnegahdar; Hamidreza Pakshir; Ilnaz Ghanbari
Journal:  J Dent (Shiraz)       Date:  2019-09

6.  Effects of Hypertension, Diabetes, and Smoking on Age and Sex Prediction from Retinal Fundus Images.

Authors:  Yong Dae Kim; Kyoung Jin Noh; Seong Jun Byun; Soochahn Lee; Tackeun Kim; Leonard Sunwoo; Kyong Joon Lee; Si-Hyuck Kang; Kyu Hyung Park; Sang Jun Park
Journal:  Sci Rep       Date:  2020-03-12       Impact factor: 4.379

7.  Traditional and New Methods of Bone Age Assessment-An Overview

Authors:  Monika Prokop-Piotrkowska; Kamila Marszałek-Dziuba; Elżbieta Moszczyńska; Mieczysław Szalecki; Elżbieta Jurkiewicz
Journal:  J Clin Res Pediatr Endocrinol       Date:  2020-10-26
  7 in total

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