Photogrammetry Technology for Scoliosis Screening Based on Deep Sensing Optics
WANG Lei1,2, YANG Tangzhu1, LIU Xia3, WU Xiaopeng3, ZHOU Yangshiyu4, LIU Chuang4
1. Department of Rehabilitation Medicine, Wuchang Hospital, Wuhan University of Science and Technology, Wuhan Hubei 430063,
China; 2. Department of Rehabilitation Medicine, General Hospital of the Yangtze River Shipping (Wuhan Brain Hospital), Wuhan
Hubei 430015, China; 3. Intelligent Manufacturing College, Jianghan University, Wuhan Hubei 430056, China; 4. Department of
R&D, Wuhan Dongri Technology Co., Ltd., Wuhan Hubei 430074, China
Abstract：Objective To design and validate the the application value of Kinect V2 camera based on deep sensing optics in the
screening of patients with scoliosis. Methods A rapid screening technique for scoliosis based on deep optical photogrammetry was
designed in the mode of medical and industrial cooperation. Thirty patients with suspected scoliosis who were treated in Wuchang
Hospital Affiliated to Wuhan University of Science and Technology from February to July 2022 were selected as the study subjects.
The “gold standard” of X-ray and photogrammetry examination were completed within 3 d, and the scoliosis angles and diagnostic
conclusions measured by the two methods were collected. Then, the difference of scoliosis angle measured by the two methods and
the consistency of diagnosis conclusion were analyzed, and evaluated the value of photogrammetry based on deep sensing optics for
scoliosis screening. Results There was no significant difference between the angle of scoliosis measured by photogrammetric and X-ray
examination (P>0.05). The diagnostic conclusions obtained by the two methods were consistent with Kappa test (Kappa value=0.769).
Conclusion The photogrammetry technology based on deep sensing optics designed in this paper can accurately screen out patients with
scoliosis, and can provide reference for clinical treatment.
王磊1,2， 杨唐柱1， 刘霞3，吴晓鹏3， 周杨诗宇4，刘闯4. 基于深感光学对脊柱侧凸筛查的
摄影测量技术[J]. 中国医疗设备, 2023, 38(11): 49-53.
WANG Lei1,2, YANG Tangzhu1, LIU Xia3, WU Xiaopeng3, ZHOU Yangshiyu4, LIU Chuang4. Photogrammetry Technology for Scoliosis Screening Based on Deep Sensing Optics. China Medical Devices, 2023, 38(11): 49-53.
