Automatic spinal deformity detection based on asymmetric degree of moire topographic images

Spinal deformity is a disease mainly suffered by teenagers during their growth stage particularly from fifth year in the elementary school to second year in the middle school. For checking the spinal deformity detection, a large amount of moire images were collected from elementary as well as junior high schools by orthopedists. This causes exhaustion of doctors and therefore led to misjudgment. Therefore realization of automated spinal deformity inspection based on the moire images has long been desired among orthopedists. In this paper, we propose a technique for spinal deformity detection based on difference of symmetric degree on moire topographic images. The technique can classify as normal or abnormal from the inputted moire topographic images automatically.