A deformable model for navigated laparoscopic gastrectomy based on finite elemental method.
Background: Accurate registration for surgical navigation of laparoscopic surgery is highly challenging due to vessel deformation. Here, we describe the design of a deformable model with improved matching accuracy by applying the finite element method (FEM). Material and methods: ANSYS software was...
| Publicado en: | Minimally Invasive Therapy & Allied Technologies Vol. 29; no. 4; pp. 210 - 217 |
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| Autores principales: | , , , , , , , , , , , , , |
| Formato: | diagnostic images pictorial research Journal Article |
| Publicado: |
Taylor & Francis Ltd
Aug2020
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=144918705&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 144918705 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 13645706 J4S jtl: Minimally Invasive Therapy & Allied Technologies issn: 13645706 maglogo: Y pubinfo: dt: Aug2020 vid: 29 iid: 4 pid: 377 pub: Taylor & Francis Ltd place: Philadelphia, Pennsylvania artinfo: ui: 144918705 144918705 144918705 10.1080/13645706.2019.1625926 144918705 ppf: 210 ppct: 7 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: A deformable model for navigated laparoscopic gastrectomy based on finite elemental method. aug: au: Chen, Tao Wei, Guodong Xu, Lili Shi, Weili Xu, Yikai Zhu, Yongyi Hayashi, Yuichiro Oda, Hirohisa Oda, Masahiro Hu, Yanfeng Yu, Jiang Jiang, Zhengang Li, Guoxin Mori, Kensaku affil: Department of General Surgery, Nanfang Hospital, Guangdong Provincial Engineering Technology Research Center of Minimally Invasive Surgery, Southern Medical University, Guangzhou, Guangdong Province, China sug: subj: Gastrectomy Surgery, Computer-Assisted Surgery, Laparoscopic Human Simulations Computer Simulation Animal Studies Animals Funding Source ab: Background: Accurate registration for surgical navigation of laparoscopic surgery is highly challenging due to vessel deformation. Here, we describe the design of a deformable model with improved matching accuracy by applying the finite element method (FEM). Material and methods: ANSYS software was used to simulate an FEM model of the vessel after pull-up based on laparoscopic gastrectomy requirements. The central line of the FEM model and the central line of the ground truth were drawn and compared. Based on the material and parameters determined from the animal experiment, a perigastric vessel FEM model of a gastric cancer patient was created, and its accuracy in a laparoscopic gastrectomy surgical scene was evaluated. Results: In the animal experiment, the FEM model created with Ogden foam material exhibited better results. The average distance between the two central lines was 6.5mm, and the average distance between their closest points was 3.8 mm. In the laparoscopic gastrectomy surgical scene, the FEM model and the true artery deformation demonstrated good coincidence. Conclusion: In this study, a deformable vessel model based on FEM was constructed using preoperative CT images to improve matching accuracy and to supply a reference for further research on deformation matching to facilitate laparoscopic gastrectomy navigation. pubtype: Academic Journal doctype: diagnostic images pictorial research Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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