Simple medical rigid endoscopic relative percent distortion detection system

Authors

  • Liu, Lin

Keywords:

detection system, image processing

Abstract

As a medical device for diagnosis and treatment, the distortion of medical rigid endoscopes directly affects the accuracy of the surgeons judgment of the surgical position. Therefore, the measurement of endoscopic relative percent distortion is an urgent problem to be solved. A relative percent distortion detection system based on image processing was designed, and the images of the calibration target plate were acquired by a CCD camera. After vertical calibration of endoscope visual axis and target plate, the distortion target plate was replaced to collect images. The computer filtered the obtained image, extracted the region of interest and carried out the size statistics, and the relative percent distortion was finally obtained. Using a 30° laparoscope as the measurement model, the experiments show that the relative percent distortion value measured by the designed calibration system at 70% of the full field of view of the endoscope to be measured is better than that of the system without vertical calibration by 2.2%. The results show that the system has higher consistency of detection results and higher accuracy than the system without vertical calibration. © 2023 Editorial office of Journal of Applied Optics. All rights reserved.

References

WANG Yunlong, Study on qualitative detection technology of optical performance quality control of medical endoscope, (2016); JIA Xiaohang, YAN Qinglai, WEN Yan, Evaluation base and method of medical rigid endoscope distortion[J], Acta Optica Sinica, 26, 8, pp. 1226-1230, (2006); HOU Rui, ZHAO Yue, YU Yunyi, Et al., Method for detecting the relative distortion rate of endoscope based on locating the centroid of image[J], Optical Technique, 46, 4, pp. 438-442, (2020); Medical endoscopes—rigid endoscope—part 1: optical properties and test methods: YY 0068.1—2008, (2009); FAN Xiang, HUANG Zhiqiang, HUANG Deqiu, Et al., The introduction of optical properties test device for rigid endoscope, China Medical Device Information, 19, 4, pp. 44-47, (2013); JI Jun, WANG Yunlong, YUAN Qing, Et al., An optical performance of the qualitative detection device of medical endoscope system[J], China Medical Equipment, 3, pp. 15-18, (2015); MENG Xiangfeng, WANG Quan, LI Ning, Et al., Research and design of rigid endoscope measurement device[J], China Medical Devices, 8, pp. 1-4, (2013); ZHAO Zhixiang, LIU Bailin, BAI Wanmin, Et al., Method for detecting the distortion rate of endoscope based on ellipse fitting[J], Journal of Xi'an Technological University, 38, 3, pp. 293-297, (2018); JI Jun, JIANG Changsong, WANG Yunlong, Et al., Introduction of optical performance testing device for medical rigid endoscope[J], China Medical Equipment, 10, 11, pp. 11-13, (2013); JIANG Changsong, Research on quality control and detection technology of optical performance of medical rigid endoscope, (2014); WANG Yakun, Design of optical performance testing system for medical rigid tube endoscope, (2016); ZHAI Xiaohao, Design of optical parameter measurement system for rigid tube endoscope, (2016); ZHANG Chao, GU Jiayu, GAO Qianshan, Et al., Automatic detection system of optical performance of medical endoscope based on LabVIEW image processing[J], Measurement Technique, 1, pp. 18-20, (2020); XIANG Yang, JIANG Huilin, HU Jiasheng, Design on rigid medical endoscope optical system structure[J], Journal of Changchun University of Science and Technology (Natural Science Edition), 30, 3, pp. 5-6, (2007); BAXTER D, GOMA S R, ALEKSIC M., Applying image quality in cell phone cameras: lens distortion, Proceedings of Image Quality and System Performance VI, 7242, pp. 389-399, (2009); JIANG Shufeng, KE Yinfeng, ZHANG Ran, Et al., Research on automatic detection method of part contour image based on Opencv2[J], Journal of Qiqihar University (Natural Science Edition), 38, 1, pp. 39-43, (2022)

Published

30-06-2023

How to Cite

Lin, L. (2023). Simple medical rigid endoscopic relative percent distortion detection system. Journal of Applied Optics, 44(1), 8–10. Retrieved from https://appliedopticsjournal.net/index.php/JAO/article/view/47

Issue

Section

Original Research Article

Similar Articles

<< < 3 4 5 6 7 > >> 

You may also start an advanced similarity search for this article.