{"title":"立体腹腔镜使用深度信息从三维模型","authors":"Atul Kumar, Yen-Yu Wang, Ching-Jen Wu, Kai-Che Liu, Hurng-Sheng Wu","doi":"10.1109/ISBB.2014.6820904","DOIUrl":null,"url":null,"abstract":"Laparoscopic surgery is indispensable from the current surgical procedures. Conventional laparoscope (endoscope) systems produce 2D colored video images which do not provide surgeons an actual depth perception of the scene. In this work, the problem was formulated as synthesizing a stereo image of the monocular (conventional) laparoscope image by incorporating into them the depth information from a 3D CT model. The current method was applied to the laparoscope video at the rate of up to 5 frames per second to visualize its stereo video. Correlation coefficients between the depth maps calculated with our method with those from the shape from shading algorithm were within the range of 0.70 to 0.95 (P <; 0.05).","PeriodicalId":265886,"journal":{"name":"2014 IEEE International Symposium on Bioelectronics and Bioinformatics (IEEE ISBB 2014)","volume":"36 6 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Stereoscopic laparoscopy using depth information from 3D model\",\"authors\":\"Atul Kumar, Yen-Yu Wang, Ching-Jen Wu, Kai-Che Liu, Hurng-Sheng Wu\",\"doi\":\"10.1109/ISBB.2014.6820904\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Laparoscopic surgery is indispensable from the current surgical procedures. Conventional laparoscope (endoscope) systems produce 2D colored video images which do not provide surgeons an actual depth perception of the scene. In this work, the problem was formulated as synthesizing a stereo image of the monocular (conventional) laparoscope image by incorporating into them the depth information from a 3D CT model. The current method was applied to the laparoscope video at the rate of up to 5 frames per second to visualize its stereo video. Correlation coefficients between the depth maps calculated with our method with those from the shape from shading algorithm were within the range of 0.70 to 0.95 (P <; 0.05).\",\"PeriodicalId\":265886,\"journal\":{\"name\":\"2014 IEEE International Symposium on Bioelectronics and Bioinformatics (IEEE ISBB 2014)\",\"volume\":\"36 6 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-05-26\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2014 IEEE International Symposium on Bioelectronics and Bioinformatics (IEEE ISBB 2014)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ISBB.2014.6820904\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 IEEE International Symposium on Bioelectronics and Bioinformatics (IEEE ISBB 2014)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISBB.2014.6820904","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
摘要
腹腔镜手术是目前外科手术中不可缺少的。传统的腹腔镜(内窥镜)系统产生2D彩色视频图像,不能为外科医生提供对场景的实际深度感知。在这项工作中,该问题被表述为通过将3D CT模型的深度信息合并到单眼(传统)腹腔镜图像的立体图像中。将该方法应用于腹腔镜视频中,以高达5帧/秒的速度实现其立体视频的可视化。用我们的方法计算的深度图与用shape from shading算法计算的深度图的相关系数在0.70 ~ 0.95之间(P <;0.05)。
Stereoscopic laparoscopy using depth information from 3D model
Laparoscopic surgery is indispensable from the current surgical procedures. Conventional laparoscope (endoscope) systems produce 2D colored video images which do not provide surgeons an actual depth perception of the scene. In this work, the problem was formulated as synthesizing a stereo image of the monocular (conventional) laparoscope image by incorporating into them the depth information from a 3D CT model. The current method was applied to the laparoscope video at the rate of up to 5 frames per second to visualize its stereo video. Correlation coefficients between the depth maps calculated with our method with those from the shape from shading algorithm were within the range of 0.70 to 0.95 (P <; 0.05).