Bone age assessment (BAA) of children is a clinical procedure frequently performed in pediatric radiology to evaluate the stage of skeletal maturation based on a left hand and wrist radiograph. The most commonly used standard: Greulich and Pyle (G&P) Hand Atlas was developed 50 years ago and exclusively based on Caucasian population. Moreover, inter- & intra-observer discrepancies using this method create a need of an objective and automatic BAA method. A digital hand atlas (DHA) has been collected with 1,400 hand images of normal children from Asian, African American, Caucasian and Hispanic descends. Based on DHA, a fully automatic, objective computer-aided-diagnosis (CAD) method was developed and it was adapted to specific population. To bring DHA and CAD method to the clinical environment as a useful tool in assisting radiologist to achieve higher accuracy in BAA, a web-based system with direct connection to a clinical site is designed as a novel clinical implementation approach for online and real time BAA. The core of the system, a CAD server receives the image from clinical site, processes it by the CAD method and finally, generates report. A web service publishes the results and radiologists at the clinical site can review it online within minutes. This prototype can be easily extended to multiple clinical sites and will provide the foundation for broader use of the CAD system for BAA.
[1]
W. Greulich,et al.
Radiographic Atlas of Skeletal Development of the Hand and Wrist
,
1999
.
[2]
H. K. Huang,et al.
Bone age assessment of children using a digital hand atlas
,
2007,
Comput. Medical Imaging Graph..
[3]
Sylwia Pospiech Arkadiusz Gertych Fei Cao H.K. Huang and Ewa Pietka,et al.
Computer Automated Approach to the Extraction of Epiphyseal Regions in Hand Radiographs
,
2001
.
[4]
Tobey Clark.
PACS and Imaging Informatics: Basic Principles and Applications
,
2006
.
[5]
Aifeng Zhang,et al.
Automatic bone age assessment for young children from newborn to 7-year-old using carpal bones
,
2007,
Comput. Medical Imaging Graph..
[6]
Zheng Zhou,et al.
CAD-PACS integration tool kit based on DICOM secondary capture, structured report and IHE workflow profiles
,
2007,
Comput. Medical Imaging Graph..
[7]
H. K. Huang,et al.
Computer-assisted bone age assessment: image preprocessing and epiphyseal/metaphyseal ROI extraction
,
2001,
IEEE Transactions on Medical Imaging.