
Proceedings Paper
Computer-aided bone age assessment for ethnically diverse older children using integrated fuzzy logic systemFormat | Member Price | Non-Member Price |
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Paper Abstract
Bone Age Assessment (BAA) of children is a clinical procedure frequently performed in pediatric radiology to evaluate
the stage of skeletal maturation based on the left hand x-ray radiograph. The current BAA standard in the US is using the
Greulich & Pyle (G&P) Hand Atlas, which was developed fifty years ago and was only based on Caucasian population
from the Midwest US. To bring the BAA procedure up-to-date with today's population, a Digital Hand Atlas (DHA)
consisting of 1400 hand images of normal children of different ethnicities, age, and gender. Based on the DHA and to
solve inter- and intra-observer reading discrepancies, an automatic computer-aided bone age assessment system has been
developed and tested in clinical environments. The algorithm utilizes features extracted from three regions of interests:
phalanges, carpal, and radius. The features are aggregated into a fuzzy logic system, which outputs the calculated bone
age. The previous BAA system only uses features from phalanges and carpal, thus BAA result for children over age of
15 is less accurate. In this project, the new radius features are incorporated into the overall BAA system. The bone age
results, calculated from the new fuzzy logic system, are compared against radiologists' readings based on G&P atlas, and
exhibits an improvement in reading accuracy for older children.
Paper Details
Date Published: 11 March 2010
PDF: 9 pages
Proc. SPIE 7628, Medical Imaging 2010: Advanced PACS-based Imaging Informatics and Therapeutic Applications, 76280I (11 March 2010); doi: 10.1117/12.844649
Published in SPIE Proceedings Vol. 7628:
Medical Imaging 2010: Advanced PACS-based Imaging Informatics and Therapeutic Applications
Brent J. Liu; William W. Boonn, Editor(s)
PDF: 9 pages
Proc. SPIE 7628, Medical Imaging 2010: Advanced PACS-based Imaging Informatics and Therapeutic Applications, 76280I (11 March 2010); doi: 10.1117/12.844649
Show Author Affiliations
Kevin Ma, Image Processing and Informatics Lab., The Univ. of Southern California (United States)
Paymann Moin, Image Processing and Informatics Lab., The Univ. of Southern California (United States)
Paymann Moin, Image Processing and Informatics Lab., The Univ. of Southern California (United States)
Aifeng Zhang, Univ. of Illinois at Chicago (United States)
Brent Liu, Image Processing and Informatics Lab., The Univ. of Southern California (United States)
Brent Liu, Image Processing and Informatics Lab., The Univ. of Southern California (United States)
Published in SPIE Proceedings Vol. 7628:
Medical Imaging 2010: Advanced PACS-based Imaging Informatics and Therapeutic Applications
Brent J. Liu; William W. Boonn, Editor(s)
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