Automatic spinal deformity detection based on asymmetric degree of moire topographic images
Automatic spinal deformity detection based on asymmetric degree of moire topographic images
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基于云纹地形图像不对称度的脊柱畸形自动检测
DOI：
10.1109/iecon.2004.1431726
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发表时间：
2004
期刊：
影响因子：
--
通讯作者：
T. Shinomiya
中科院分区：
文献类型：
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作者：
H. Ushijima;H. Kim;S. Ishikawa;Y. Otsuka;H. Shimizu;Y. Nakada;T. Shinomiya
脊柱畸形是青少年生长发育阶段的一种常见疾病，主要发生在小学五年级至中学二年级。为了检查脊柱畸形的检测，骨科医生从小学和初中收集了大量的莫尔图像。这导致医生疲惫不堪，从而导致误判。因此，实现基于莫尔图像的脊柱畸形自动检测一直是骨科医生的愿望。本文提出了一种基于莫尔地形图对称度差异的脊柱畸形检测技术。该技术可以自动地从输入的莫尔地形图中区分出正常或异常。
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.