Paper
18 March 2013 Computer assisted measurement of femoral cortex thickening on radiographs
Jianhua Yao, Yixun Liu, Foster Chen, Ronald M. Summers, Timothy Bhattacharyya
Author Affiliations +
Proceedings Volume 8670, Medical Imaging 2013: Computer-Aided Diagnosis; 86703C (2013) https://doi.org/10.1117/12.2007605
Event: SPIE Medical Imaging, 2013, Lake Buena Vista (Orlando Area), Florida, United States
Abstract
Radiographic features such as femoral cortex thickening have been frequently observed with atypical subtrochanteric fractures. These features may be a valuable finding to help prevent fractures before they happen. The current practice of manual measurement is often subjective and inconsistent. We developed a semi-automatic tool to consistently measure and monitor the progress of femoral cortex thickening on radiographs. By placing two seed points on each side of the femur, the program automatically extracts the periosteal and endosteal layers of the cortical shell by active contour models and B-spline fitting. Several measurements are taken along the femur shaft, including shaft diameter, cortical thickness, and integral area for medial and lateral cortex. The experiment was conducted on 52 patient datasets. The semi-automatic measurements were validated against manual measurements on 52 patients and demonstrated great improvement in consistency and accuracy (p<0.001).
© (2013) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Jianhua Yao, Yixun Liu, Foster Chen, Ronald M. Summers, and Timothy Bhattacharyya "Computer assisted measurement of femoral cortex thickening on radiographs", Proc. SPIE 8670, Medical Imaging 2013: Computer-Aided Diagnosis, 86703C (18 March 2013); https://doi.org/10.1117/12.2007605
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Radiography

Calibration

Bone

Image quality standards

Control systems

Kidney

Medical imaging

Back to Top