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Proceedings Paper

A vison-based spine morphology detection method for patients’ daily inspection
Author(s): Mengting Tan; Linyong Shen; Wei Song; Ya'nan Zhang; Changwei Yang
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Paper Abstract

At present, the examination of scoliosis diseases is performed by x-ray, which cannot be used frequently because of its radiological hazards. So, some patients may miss the best remedial opportunity. This paper presents an image-based spine morphology detection method for patients’ daily inspection. To embed this method in software development of a portable device, such as a mobile phone, we adopt a "single-camera, multi-perspective" system construction scheme that focuses on online camera calibration of external parameters, enabling the system to use a single camera for 3D measurements. By touching the back of the human body to find the spinous processes and marking them, we photograph the markers and a checkerboard into the same image from different directions. Based on the principle of stereo vision, we use the checkerboard information to obtain the camera external parameters, then calculate the 3D coordinates of the markers by the marker information of images. At last, the spine Cobb angle is calculated based on the 3D coordinates of the markers. In the experiment, the method was verified by using a camera to measure the 3D coordinates of the centers of a series of circle markers which drawn on a paper then pasted on the plate. The result illustrates that with our method the error of coronal and sagittal Cobb angle is within 3° which has met the measurement requirements of the doctors. It suggests that our method can be used for the portable device development for patients’ daily inspection.

Paper Details

Date Published: 24 July 2018
PDF: 6 pages
Proc. SPIE 10827, Sixth International Conference on Optical and Photonic Engineering (icOPEN 2018), 1082710 (24 July 2018); doi: 10.1117/12.2500990
Show Author Affiliations
Mengting Tan, Shanghai Univ. (China)
Linyong Shen, Shanghai Univ. (China)
Wei Song, Shanghai Univ. (China)
Ya'nan Zhang, Shanghai Univ. (China)
Changwei Yang, Changhai Hospital (China)


Published in SPIE Proceedings Vol. 10827:
Sixth International Conference on Optical and Photonic Engineering (icOPEN 2018)
Yingjie Yu; Chao Zuo; Kemao Qian, Editor(s)

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