Literature DB >> 20299273

A fast and robust patient specific Finite Element mesh registration technique: application to 60 clinical cases.

Marek Bucki1, Claudio Lobos, Yohan Payan.   

Abstract

Finite Element mesh generation remains an important issue for patient specific biomechanical modeling. While some techniques make automatic mesh generation possible, in most cases, manual mesh generation is preferred for better control over the sub-domain representation, element type, layout and refinement that it provides. Yet, this option is time consuming and not suited for intraoperative situations where model generation and computation time is critical. To overcome this problem we propose a fast and automatic mesh generation technique based on the elastic registration of a generic mesh to the specific target organ in conjunction with element regularity and quality correction. This Mesh-Match-and-Repair (MMRep) approach combines control over the mesh structure along with fast and robust meshing capabilities, even in situations where only partial organ geometry is available. The technique was successfully tested on a database of 5 pre-operatively acquired complete femora CT scans, 5 femoral heads partially digitized at intraoperative stage, and 50 CT volumes of patients' heads. In the latter case, both skin and bone surfaces were taken into account by the mesh registration process in order to model the face muscles and fat layers. The MMRep algorithm succeeded in all 60 cases, yielding for each patient a hex-dominant, Atlas based, Finite Element mesh with submillimetric surface representation accuracy, directly exploitable within a commercial FE software. Copyright (c) 2010 Elsevier B.V. All rights reserved.

Entities:  

Mesh:

Year:  2010        PMID: 20299273     DOI: 10.1016/j.media.2010.02.003

Source DB:  PubMed          Journal:  Med Image Anal        ISSN: 1361-8415            Impact factor:   8.545


  9 in total

1.  Variability in muscle activation of simple speech motions: A biomechanical modeling approach.

Authors:  Negar M Harandi; Jonghye Woo; Maureen Stone; Rafeef Abugharbieh; Sidney Fels
Journal:  J Acoust Soc Am       Date:  2017-04       Impact factor: 1.840

2.  Automated subject-specific, hexahedral mesh generation via image registration.

Authors:  Songbai Ji; James C Ford; Richard M Greenwald; Jonathan G Beckwith; Keith D Paulsen; Laura A Flashman; Thomas W McAllister
Journal:  Finite Elem Anal Des       Date:  2011-10-01       Impact factor: 2.972

3.  Subject-Specific Biomechanical Modelling of the Oropharynx: Towards Speech Production.

Authors: 
Journal:  Comput Methods Biomech Biomed Eng Imaging Vis       Date:  2015-05-05

4.  Clinically oriented real-time monitoring of the individual's risk for deep tissue injury.

Authors:  Sigal Portnoy; Nicolas Vuillerme; Yohan Payan; Amit Gefen
Journal:  Med Biol Eng Comput       Date:  2011-03-11       Impact factor: 2.602

5.  Effects of densitometry, material mapping and load estimation uncertainties on the accuracy of patient-specific finite-element models of the scapula.

Authors:  Gianni Campoli; Bart Bolsterlee; Frans van der Helm; Harrie Weinans; Amir A Zadpoor
Journal:  J R Soc Interface       Date:  2014-02-12       Impact factor: 4.118

6.  An eFTD-VP framework for efficiently generating patient-specific anatomically detailed facial soft tissue FE mesh for craniomaxillofacial surgery simulation.

Authors:  Xiaoyan Zhang; Daeseung Kim; Shunyao Shen; Peng Yuan; Siting Liu; Zhen Tang; Guangming Zhang; Xiaobo Zhou; Jaime Gateno; Michael A K Liebschner; James J Xia
Journal:  Biomech Model Mechanobiol       Date:  2017-10-12

7.  An anatomically detailed and personalizable head injury model: Significance of brain and white matter tract morphological variability on strain.

Authors:  Xiaogai Li; Zhou Zhou; Svein Kleiven
Journal:  Biomech Model Mechanobiol       Date:  2020-10-10

8.  Personalized biomechanical tongue models based on diffusion-weighted MRI and validated using optical tracking of range of motion.

Authors:  K D R Kappert; L Voskuilen; L E Smeele; A J M Balm; B Jasperse; A J Nederveen; F van der Heijden
Journal:  Biomech Model Mechanobiol       Date:  2021-03-07

9.  Sensitivity of the stress field of the proximal femur predicted by CT-based FE analysis to modeling uncertainties.

Authors:  Sina Youssefian; Jarred A Bressner; Mikhail Osanov; James K Guest; Wojciech B Zbijewski; Adam S Levin
Journal:  J Orthop Res       Date:  2021-07-13       Impact factor: 3.102

  9 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.