Title :
A Torso Imaging System for Quantifying the Deformity Associated with Scoliosis
Author :
Ajemba, Peter O. ; Durdle, Nelson G. ; Hill, Doug L. ; Raso, V. James
Author_Institution :
Dept. of Electr. & Comput. Eng., Alberta Univ., Edmonton, Alta.
Abstract :
This paper describes a low-cost torso imaging system for quantifying the deformity associated with scoliosis. The system consists of image-capture and image-analysis components. The image capture component obtains full-torso scans using a rotating positioning platform and one or two surface digitizers. The image-analysis component monitors changes in torso shape. Results of system calibration and error analysis (accuracy of reproduction based on tests on inanimate objects and human subjects) show that the system can be used to track changes caused by the deformity associated with scoliosis
Keywords :
bone; computerised monitoring; condition monitoring; diseases; medical image processing; deformity monitoring; full-torso scan; image-analysis component; image-capture component; rotating positioning platform; scoliosis; surface digitizers; torso imaging system; torso shape monitoring; Calibration; Diagnostic radiography; Error analysis; Hospitals; Humans; Optical imaging; Shape; Surface topography; System testing; Torso; Scans; Scoliosis; Shape Monitoring; Splines; Surface; Torso Imaging; Torso Models;
Conference_Titel :
Instrumentation and Measurement Technology Conference, 2005. IMTC 2005. Proceedings of the IEEE
Conference_Location :
Ottawa, Ont.
Print_ISBN :
0-7803-8879-8
DOI :
10.1109/IMTC.2005.1604083
