Title :
A Torso-Imaging System to Quantify the Deformity Associated With Scoliosis
Author :
Ajemba, Peter O. ; Durdle, Nelson G. ; Hill, Doug L. ; Raso, V. James
Author_Institution :
Alberta Univ., Edmonton
Abstract :
This paper describes a low-cost imaging system that is used to quantify the torso deformity that is 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 assesses torso shape. Results of system calibration and error analysis (accuracy of reproduction based on tests on a calibration box, a plaster cast, and a human subject) show that the system can be used to quantify the deformity associated with scoliosis.
Keywords :
biomedical imaging; diseases; error analysis; calibration box; error analysis; image-analysis components; plaster cast; scoliosis; system calibration; torso-imaging system; Calibration; Diagnostic radiography; Error analysis; Humans; Optical imaging; Quantum cascade lasers; Shape; Surface topography; System testing; Torso; Scoliosis; shape monitoring; splines; surface scans; torso imaging; torso models;
Journal_Title :
Instrumentation and Measurement, IEEE Transactions on
DOI :
10.1109/TIM.2007.903592