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Knowledge modeling in image-guided neurosurgery: application in understanding intraoperative brain shift

文献类型: 会议论文

第一作者: Julien Cohen-Adad

作者: Julien Cohen-Adad 1 ; Perrine Paul; Xavier Morandi; Pierre Jannin; SPIE-The International Society for Optical Engineering;

作者机构: 1.Projet/Unite Visages-U746, INSERM-INRIA-CNRS, Faculte de Medecine, Universite de Rennes 1 2 avenue du Pr. Leon Bernard, CS 34317, 35043 Rennes Cedex France

关键词: image-guided surgery;brain shift;knowledge modeling;formalization;data mining

会议名称: Visualization,Image-Guided Procedures,and Display

主办单位:

页码: 61412E.1-61412E.8

摘要: During an image-guided neurosurgery procedure, the neuronavigation system is subject to inaccuracy because of anatomical deformations which induce a gap between the preoperative images and their anatomical reality. Thus, the objective of many research teams is to succeed in quantifying these deformations in order to update preoperative images. Anatomical intraoperative deformations correspond to a complex spatio-temporal phenomenon. Our objective is to identify the parameters implicated in these deformations and to use these parameters as constrains for systems dedicated to updating preoperative images. In order to identify these parameters of deformation we followed the iterative methodology used for cognitive system conception: identification, conceptualization, formalization, implementation and validation. A state of the art about cortical deformations has been established in order to identify relevant parameters probably involved in the deformations. As a first step, 30 parameters have been identified and described following an ontological approach. They were formalized into a Unified Modeling Language (UML) class diagram. We implemented that model into a web-based application in order to fill a database. Two surgical cases have been studied at this moment. After having entered enough surgical cases for data mining purposes, we expect to identify the most relevant and influential parameters and to gain a better ability to understand the deformation phenomenon. This original approach is part of a global system aiming at quantifying and correcting anatomical deformations.

分类号: R318.51

  • 相关文献

[1]Knowledge modeling in image-guided neurosurgery: application in understanding intraoperative brain shift. Julien Cohen-Adad,Perrine Paul,Xavier Morandi,Pierre Jannin. 2006

[2]Preoperative Brain Shift: Study of Three Surgical Cases. O. El Ganaoui,X. Morandi,S. Duchesne,P. Jannin. 2008

[3]A Computer Vision Approach to Radial Velocity Extraction for Exoplanet Detection. Katelyn Gan,Vinesh Maguire Rajpaul. 2023

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