Literature DB >> 10940607

Digital hand atlas and web-based bone age assessment: system design and implementation.

F Cao1, H K Huang, E Pietka, V Gilsanz.   

Abstract

Bone age assessment is a procedure frequently performed in pediatric patients to evaluate their growth disorder. A simple method commonly used in bone age assessment is atlas matching by a radiological examination of a left-hand radiograph against a small reference set of Greulich-Pyle atlas patterns of normal standards. The method however can lead to significant deviation in age assessment, due to a variety of observers with different levels of training. The Greulich-Pyle atlas developed in the 1950s based on middle upper class white populations, is also not fully applicable for children of today, especially regarding the standard development in other racial groups. In this paper, we present our system design and initial implementation of a digital hand atlas and computer-aided diagnostic (CAD) system for Web-based bone age assessment. The CAD system is built on top of existing picture archiving and communication system (PACS), as well as recent advances in Internet technology. It consists of a hand atlas database, a CAD module and a Java-based Web user interface. The digital atlas is based on a large new set of clinically normal hand images of diverse ethnic groups. A relational image database system is used to organize hand images, their extracted quantitative features and patient data. The digital atlas removes the disadvantages of the currently out-of-date Greulich-Pyle atlas and allows the bone age assessment to be computerized. The Java-based Web user interface allows users to interact with the hand image database from browsers. Users can use a Web browser to push a clinical hand image to the CAD server for a bone age assessment. Quantitative features on the examined image, which reflect the skeletal maturity, are then extracted and compared with patterns from the atlas database to assess the bone age. The digital atlas method based on open system Internet technology provides an alternative to supplement or replace the traditional one for a quantitative, accurate and cost-effective assessment of bone age.

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Year:  2000        PMID: 10940607     DOI: 10.1016/s0895-6111(00)00026-4

Source DB:  PubMed          Journal:  Comput Med Imaging Graph        ISSN: 0895-6111            Impact factor:   4.790


  17 in total

1.  Computer-assisted bone age assessment: graphical user interface for image processing and comparison.

Authors:  Ewa Pietka; Arkadiusz Gertych; Sylwia Pospiechâ Euro Kurkowska; Fei Cao; H K Huang; Vincente Gilzanz
Journal:  J Digit Imaging       Date:  2004-06-04       Impact factor: 4.056

2.  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

3.  Picture archiving and communication system and its impact on image viewing in physical therapy practice.

Authors:  Reg B Wilcox; Joel Fallano; Kenneth J Shannon; John A Carrino; Jacquelyn Sinclair; Ramin Khorasani
Journal:  J Digit Imaging       Date:  2006-12       Impact factor: 4.056

4.  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

5.  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

6.  MABAL: a Novel Deep-Learning Architecture for Machine-Assisted Bone Age Labeling.

Authors:  Simukayi Mutasa; Peter D Chang; Carrie Ruzal-Shapiro; Rama Ayyala
Journal:  J Digit Imaging       Date:  2018-08       Impact factor: 4.056

Review 7.  Advanced networks and computing in healthcare.

Authors:  Michael Ackerman; Craig Locatis
Journal:  J Am Med Inform Assoc       Date:  2011-04-12       Impact factor: 4.497

8.  Implementation and statistical evaluation of a web-based software for bone age assessment.

Authors:  Metin Yildiz; Albert Guvenis; Esra Guven; Didar Talat; Mahmut Haktan
Journal:  J Med Syst       Date:  2010-02-02       Impact factor: 4.460

9.  Bone age in the 21st century: is Greulich and Pyle's atlas accurate for Israeli children?

Authors:  Michalle Soudack; Aviva Ben-Shlush; Jeffrey Jacobson; Lisa Raviv-Zilka; Iris Eshed; Orit Hamiel
Journal:  Pediatr Radiol       Date:  2012-01-12

10.  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

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