Literature DB >> 16678834

Patient-specific model of brain deformation: application to medical image registration.

Adam Wittek1, Karol Miller, Ron Kikinis, Simon K Warfield.   

Abstract

This contribution presents finite element computation of the deformation field within the brain during craniotomy-induced brain shift. The results were used to illustrate the capabilities of non-linear (i.e. accounting for both geometric and material non-linearities) finite element analysis in non-rigid registration of pre- and intra-operative magnetic resonance images of the brain. We used patient-specific hexahedron-dominant finite element mesh, together with realistic material properties for the brain tissue and appropriate contact conditions at boundaries. The model was loaded by the enforced motion of nodes (i.e. through prescribed motion of a boundary) at the brain surface in the craniotomy area. We suggest using explicit time-integration scheme for discretised equations of motion, as the computational times are much shorter and accuracy, for practical purposes, the same as in the case of implicit integration schemes. Application of the computed deformation field to register (i.e. align) the pre-operative images with the intra-operative ones indicated that the model very accurately predicts the displacements of the tumour and the lateral ventricles even for limited information about the brain surface deformation. The prediction accuracy improves when information about deformation of not only exposed (during craniotomy) but also unexposed parts of the brain surface is used when prescribing loading. However, it appears that the accuracy achieved using information only about the deformation of the exposed surface, that can be determined without intra-operative imaging, is acceptable. The presented results show that non-linear biomechanical models can complement medical image processing techniques when conducting non-rigid registration. Important advantage of such models over the previously used linear ones is that they do not require unrealistic assumptions that brain deformations are infinitesimally small and brain stress-strain relationship is linear.

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Year:  2006        PMID: 16678834     DOI: 10.1016/j.jbiomech.2006.02.021

Source DB:  PubMed          Journal:  J Biomech        ISSN: 0021-9290            Impact factor:   2.712


  44 in total

1.  Background-incorporated volumetric model for patient-specific surgical simulation: a segmentation-free, modeling-free framework.

Authors:  Kei Wai Cecilia Hung; Megumi Nakao; Koji Yoshimura; Kotaro Minato
Journal:  Int J Comput Assist Radiol Surg       Date:  2010-05-08       Impact factor: 2.924

2.  Real-Time Nonlinear Finite Element Computations on GPU - Application to Neurosurgical Simulation.

Authors:  Grand Roman Joldes; Adam Wittek; Karol Miller
Journal:  Comput Methods Appl Mech Eng       Date:  2010-12-15       Impact factor: 6.756

3.  Patient-specific non-linear finite element modelling for predicting soft organ deformation in real-time: application to non-rigid neuroimage registration.

Authors:  Adam Wittek; Grand Joldes; Mathieu Couton; Simon K Warfield; Karol Miller
Journal:  Prog Biophys Mol Biol       Date:  2010-09-22       Impact factor: 3.667

4.  Patient-specific biomechanical model as whole-body CT image registration tool.

Authors:  Mao Li; Karol Miller; Grand Roman Joldes; Barry Doyle; Revanth Reddy Garlapati; Ron Kikinis; Adam Wittek
Journal:  Med Image Anal       Date:  2015-01-30       Impact factor: 8.545

5.  Simulation of brain mass effect with an arbitrary Lagrangian and Eulerian FEM.

Authors:  Yasheng Chen; Songbai Ji; Xunlei Wu; Hongyu An; Hongtu Zhu; Dinggang Shen; Weili Lin
Journal:  Med Image Comput Comput Assist Interv       Date:  2010

6.  Intraoperative brain shift compensation: accounting for dural septa.

Authors:  Ishita Chen; Aaron M Coffey; Siyi Ding; Prashanth Dumpuri; Benoit M Dawant; Reid C Thompson; Michael I Miga
Journal:  IEEE Trans Biomed Eng       Date:  2010-11-22       Impact factor: 4.538

7.  On the unimportance of constitutive models in computing brain deformation for image-guided surgery.

Authors:  Adam Wittek; Trent Hawkins; Karol Miller
Journal:  Biomech Model Mechanobiol       Date:  2008-02-02

8.  Near Real-Time Computer Assisted Surgery for Brain Shift Correction Using Biomechanical Models.

Authors:  Kay Sun; Thomas S Pheiffer; Amber L Simpson; Jared A Weis; Reid C Thompson; Michael I Miga
Journal:  IEEE J Transl Eng Health Med       Date:  2014-04-30       Impact factor: 3.316

9.  On the prospect of patient-specific biomechanics without patient-specific properties of tissues.

Authors:  Karol Miller; Jia Lu
Journal:  J Mech Behav Biomed Mater       Date:  2013-02-09

10.  More accurate neuronavigation data provided by biomechanical modeling instead of rigid registration.

Authors:  Revanth Reddy Garlapati; Aditi Roy; Grand Roman Joldes; Adam Wittek; Ahmed Mostayed; Barry Doyle; Simon Keith Warfield; Ron Kikinis; Neville Knuckey; Stuart Bunt; Karol Miller
Journal:  J Neurosurg       Date:  2014-01-24       Impact factor: 5.115

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