Bone age assessment of children using a digital hand atlas.
We have developed an automated method to assess bone age of children using a digital hand atlas. The hand atlas consists of two components. The first component is a database which is comprised of a collection of 1400 digitized left hand radiographs from evenly distributed normally developed children of Caucasian (CA), Asian (AS), African-American (AA) and Hispanic (HI) origin, male (M) and female (F), ranged from 1- to 18-year-old; and relevant patient demographic data along with pediatric radiologists' readings of each radiograph. This data is separate into eight categories: CAM, CAF, AAM, AAF, HIM, HIF, ASM, and ASF. In addition, CAM, AAM, HIM, and ASM are combined as one male category; and CAF, AAF, HIF, and ASF are combined as one female category. The male and female are further combined as the F & M category. The second component is a computer-assisted diagnosis (CAD) module to assess a child bone age based on the collected data. The CAD method is derived from features extracted from seven regions of interest (ROIs): the carpal bone ROI, and six phanlangeal PROIs. The PROIs are six areas including the distal and middle regions of three middle fingers. These features were used to train the 11 category fuzzy classifiers: one for each race and gender, one for the female, one male, and one F & M, to assess the bone age of a child. The digital hand atlas is being integrated with a PACS for validation of clinical use.
Gertych
Arkadiusz
A
Image Processing and Informatics Laboratory, Department of Radiology, University of Southern California, 4676 Admiralty Way, Suite 601, Marina del Rey, CA 90292, USA. gertych@usc.edu
Zhang
Aifeng
A
Sayre
James
J
Pospiech-Kurkowska
Sylwia
S
Huang
H K
HK
D000293:Adolescent; D000365:Age Determination by Skeleton / Q000379:methods*; D002648:Child; D002675:Child, Preschool; D005260:Female; D006130:Growth Disorders / Q000175:diagnosis; D050276:Hand Bones / Q000000981:diagnostic imaging* / Q000378:metabolism; D006801:Humans; D007090:Image Interpretation, Computer-Assisted / Q000379:methods; D007223:Infant; D008297:Male; D011873:Radiology Information Systems; D014481:United States