TY - GEN
T1 - Computer-aided bone age assessment for ethnically diverse older children using integrated fuzzy logic system
AU - Ma, Kevin
AU - Moin, Paymann
AU - Zhang, Aifeng
AU - Liu, Brent
PY - 2010
Y1 - 2010
N2 - 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.
AB - 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.
KW - bone age assessment
KW - fuzzy logic system
KW - image processing
KW - system integration
UR - http://www.scopus.com/inward/record.url?scp=77953391763&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=77953391763&partnerID=8YFLogxK
U2 - 10.1117/12.844649
DO - 10.1117/12.844649
M3 - Conference contribution
AN - SCOPUS:77953391763
SN - 9780819480293
T3 - Progress in Biomedical Optics and Imaging - Proceedings of SPIE
BT - Medical Imaging 2010 - Advanced PACS-based Imaging Informatics and Therapeutic Applications
T2 - Medical Imaging 2010 - Advanced PACS-based Imaging Informatics and Therapeutic Applications
Y2 - 17 February 2010 through 18 February 2010
ER -