Simple medical rigid endoscopic relative percent distortion detection system

LIU Lin; XIANG Yang; LIU Lixin; AN Weidong; HUANG Lei

doi:10.5768/JAO202344.0401008

Journal of Applied Optics > 2023 > 44(4): 756-762. > DOI: 10.5768/JAO202344.0401008

LIU Lin, XIANG Yang, LIU Lixin, AN Weidong, HUANG Lei. Simple medical rigid endoscopic relative percent distortion detection system[J]. Journal of Applied Optics, 2023, 44(4): 756-762. DOI: 10.5768/JAO202344.0401008

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Simple medical rigid endoscopic relative percent distortion detection system

1.
Changchun University of Science and Technology, Changchun 130022, China
2.
Jilin Key Laboratory of Metrology and Testing Instruments and Technology, Jilin Institute of Metrology, Changchun 130103, China

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Received Date: October 26, 2022
Revised Date: January 17, 2023
Available Online: June 15, 2023

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Abstract

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.
- metrology,
- detection system,
- image processing,
- relative percent distortion

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References (16)

References

[1]	王云龙. 医用内窥镜光学性能质量控制定性检测技术研究[D]. 广州: 南方医科大学, 2016. WANG Yunlong. Study on qualitative detection technology of optical performance quality control of medical endoscope[D]. Guangzhou: Southern Medical University, 2016.
[2]	贾晓航, 颜青来, 文燕. 医用硬性内窥镜畸变的评定基础和方法[J]. 光学学报,2006,26(8):1226-1230. JIA Xiaohang, YAN Qinglai, WEN Yan. Evaluation base and method of medical rigid endoscope distortion[J]. Acta Optica Sinica,2006,26(8):1226-1230.
[3]	侯蕊, 赵越, 俞云逸, 等. 基于定位图像质心的内窥镜相对畸变率检测方法研究[J]. 光学技术,2020,46(4):438-442. 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,2020,46(4):438-442.
[4]	国家食品药品监督管理局. 医用内窥镜硬性内窥镜第1部分: 光学性能及测试方法: YY 0068.1—2008[S]. 北京: 中国标准出版社, 2009. State Food and Drug Administration of the People's Republic of China. Medical endoscopes—rigid endoscope—part 1: optical properties and test methods: YY 0068.1—2008[S]. Beijing: Standards Press of China, 2009.
[5]	樊翔, 黄志强, 黄德球, 等. 硬管内窥镜光学性能综合测试工装介绍[J].中国医疗器械信息, 2013, 19(4): 44-47. FAN Xiang, HUANG Zhiqiang, HUANG Deqiu, et al. The introduction of optical properties test device for rigid endoscope[J]. China Medical Device Information, 2013, 19(4): 44-47.
[6]	姬军, 王云龙, 袁青, 等. 医用内窥镜系统光学性能定性检测装置的设计研究[J]. 中国医学装备,2015(3):15-18. doi: 10.3969/J.ISSN.1672-8270.2015.03.006 JI Jun, WANG Yunlong, YUAN Qing, et al. An optical performance of the qualitative detection device of medical endoscope system[J]. China Medical Equipment,2015(3):15-18. doi: 10.3969/J.ISSN.1672-8270.2015.03.006
[7]	孟祥峰, 王权, 李宁, 等. 医用硬性内窥镜测试装置的设计与研究[J]. 中国医疗设备,2013(8):1-4. MENG Xiangfeng, WANG Quan, LI Ning, et al. Research and design of rigid endoscope measurement device[J]. China Medical Devices,2013(8):1-4.
[8]	赵治翔, 刘白林, 白万民, 等. 一种基于椭圆拟合的内窥镜畸变率检测方法[J]. 西安工业大学学报,2018,38(3):293-297. 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,2018,38(3):293-297.
[9]	姬军, 蒋昌松, 王云龙, 等. 医用硬性内窥镜光学性能检测系统的设计与研究[J]. 中国医学装备,2013,10(11):11-13. JI Jun, JIANG Changsong, WANG Yunlong, et al. Introduction of optical performance testing device for medical rigid endoscope[J]. China Medical Equipment,2013,10(11):11-13.
[10]	蒋昌松. 医用硬性内窥镜光学性能质量控制检测技术研究[D]. 广州: 南方医科大学, 2014. JIANG Changsong. Research on quality control and detection technology of optical performance of medical rigid endoscope[D]. Guangzhou: Southern Medical University, 2014.
[11]	王亚坤. 医用硬管内窥镜光学性能检测系统设计[D]. 北京: 北京理工大学, 2016. WANG Yakun. Design of optical performance testing system for medical rigid tube endoscope[D]. Beijing: Beijing Institute of Technology, 2016.
[12]	翟小皓. 硬管内窥镜光学参数测量系统设计[D]. 北京: 北京理工大学, 2016. ZHAI Xiaohao. Design of optical parameter measurement system for rigid tube endoscope[D]. Beijing: Beijing Institute of Technology, 2016.
[13]	张超, 顾加雨, 高前山, 等. 基于LabVIEW图像处理的医用内窥镜光学性能自动检测系统[J]. 计量技术,2020(1):18-20. 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,2020(1):18-20.
[14]	向阳, 姜会林, 胡家升. 目视医用硬性内窥镜光学系统初始结构设计[J]. 长春理工大学学报(自然科学版),2007,30(3):5-6. 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),2007,30(3):5-6.
[15]	BAXTER D, GOMA S R, ALEKSIC M. Applying image quality in cell phone cameras: lens distortion[C]//Proceedings of Image Quality and System Performance VI. San Jose: SPIE, 2009, 7242: 389-399.
[16]	姜淑凤, 柯寅峰, 张然, 等. 基于Opencv2的零件轮廓图像自动检测法研究[J]. 齐齐哈尔大学学报(自然科学版),2022,38(1):39-43. 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),2022,38(1):39-43.

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Simple medical rigid endoscopic relative percent distortion detection system