K. Tagawa, M. Komori, N. Omi, Y. Kurumi, Hiromi T. Tanaka
{"title":"构建虚拟现实手术视场的浆膜与粘连t型结结构建模方法","authors":"K. Tagawa, M. Komori, N. Omi, Y. Kurumi, Hiromi T. Tanaka","doi":"10.7876/JMVR.14.1","DOIUrl":null,"url":null,"abstract":"ANAKA Abstract : In this paper, we propose a modeling approach of T-junction structure of serosa and adhesion for constructing various VR surgical fields in laparoscopic cholecystectomy simulator. A lot of anomalies of cystic duct and artery have been reported, and a VR surgery simulator which is able to reproduce such various surgical fields is demanded. Typically, because these duct and artery are covered by the serosa and adhesion, it is necessary to simulate the deformation and ablation of the serosa and adhesion. However, modeling of these anomalous ducts, serosa and adhesion from 3D-CT data is difficult, therefore some efficient modeling approaches are required. We propose a semi-automatic modeling approach for the serosa and adhesion. In evaluation experiment, we show several modeling results by using proposed","PeriodicalId":233632,"journal":{"name":"IEEE VR 2016","volume":"32 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-11-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A Modeling Approach of T-junction Structure of Serosa and Adhesion for Constructing Various VR Surgical Fields\",\"authors\":\"K. Tagawa, M. Komori, N. Omi, Y. Kurumi, Hiromi T. Tanaka\",\"doi\":\"10.7876/JMVR.14.1\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"ANAKA Abstract : In this paper, we propose a modeling approach of T-junction structure of serosa and adhesion for constructing various VR surgical fields in laparoscopic cholecystectomy simulator. A lot of anomalies of cystic duct and artery have been reported, and a VR surgery simulator which is able to reproduce such various surgical fields is demanded. Typically, because these duct and artery are covered by the serosa and adhesion, it is necessary to simulate the deformation and ablation of the serosa and adhesion. However, modeling of these anomalous ducts, serosa and adhesion from 3D-CT data is difficult, therefore some efficient modeling approaches are required. We propose a semi-automatic modeling approach for the serosa and adhesion. In evaluation experiment, we show several modeling results by using proposed\",\"PeriodicalId\":233632,\"journal\":{\"name\":\"IEEE VR 2016\",\"volume\":\"32 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-11-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IEEE VR 2016\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.7876/JMVR.14.1\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE VR 2016","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.7876/JMVR.14.1","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A Modeling Approach of T-junction Structure of Serosa and Adhesion for Constructing Various VR Surgical Fields
ANAKA Abstract : In this paper, we propose a modeling approach of T-junction structure of serosa and adhesion for constructing various VR surgical fields in laparoscopic cholecystectomy simulator. A lot of anomalies of cystic duct and artery have been reported, and a VR surgery simulator which is able to reproduce such various surgical fields is demanded. Typically, because these duct and artery are covered by the serosa and adhesion, it is necessary to simulate the deformation and ablation of the serosa and adhesion. However, modeling of these anomalous ducts, serosa and adhesion from 3D-CT data is difficult, therefore some efficient modeling approaches are required. We propose a semi-automatic modeling approach for the serosa and adhesion. In evaluation experiment, we show several modeling results by using proposed