Literature DB >> 12630743

A method for generating patient-specific finite element meshes for head modelling.

A P Gibson1, J Riley, M Schweiger, J C Hebden, S R Arridge, D T Delpy.   

Abstract

Finite element modelling of fields within the body, whether electrical or optical, requires knowledge of the geometry of the object being examined. It can be clinically impractical to obtain accurate surface information for individual patients, although a limited set of measurements such as the locations of sensors attached to the body, can be acquired more readily. In this paper, we describe how a generic surface taken from an adult head is warped to fit points measured on a neonatal head surface to provide a new, individual surface from which a finite element mesh was generated. Simulations show that data generated from this mesh and from the original neonatal head surface are similar to within experimental errors. However, data generated from a mesh of the best fit sphere were significantly different from data generated from the original neonatal head surface.

Entities:  

Mesh:

Year:  2003        PMID: 12630743     DOI: 10.1088/0031-9155/48/4/305

Source DB:  PubMed          Journal:  Phys Med Biol        ISSN: 0031-9155            Impact factor:   3.609


  10 in total

1.  Retinotopic mapping of adult human visual cortex with high-density diffuse optical tomography.

Authors:  Benjamin W Zeff; Brian R White; Hamid Dehghani; Bradley L Schlaggar; Joseph P Culver
Journal:  Proc Natl Acad Sci U S A       Date:  2007-07-06       Impact factor: 11.205

2.  Multi-GPU Jacobian accelerated computing for soft-field tomography.

Authors:  A Borsic; E A Attardo; R J Halter
Journal:  Physiol Meas       Date:  2012-09-26       Impact factor: 2.833

3.  Alignment of sources and detectors on breast surface for noncontact diffuse correlation tomography of breast tumors.

Authors:  Chong Huang; Yu Lin; Lian He; Daniel Irwin; Margaret M Szabunio; Guoqiang Yu
Journal:  Appl Opt       Date:  2015-10-10       Impact factor: 1.980

4.  Comparison of Displacement-Based and Force-Based Mapped Meshing.

Authors:  Vincent A Magnotta; Wen Li; Nicole M Grosland
Journal:  Midas J       Date:  2008-08-14

5.  Depth-compensated diffuse optical tomography enhanced by general linear model analysis and an anatomical atlas of human head.

Authors:  Fenghua Tian; Hanli Liu
Journal:  Neuroimage       Date:  2013-07-14       Impact factor: 6.556

Review 6.  Optical brain imaging in vivo: techniques and applications from animal to man.

Authors:  Elizabeth M C Hillman
Journal:  J Biomed Opt       Date:  2007 Sep-Oct       Impact factor: 3.170

7.  Resting-state functional connectivity in the human brain revealed with diffuse optical tomography.

Authors:  Brian R White; Abraham Z Snyder; Alexander L Cohen; Steven E Petersen; Marcus E Raichle; Bradley L Schlaggar; Joseph P Culver
Journal:  Neuroimage       Date:  2009-04-01       Impact factor: 6.556

8.  Depth sensitivity and image reconstruction analysis of dense imaging arrays for mapping brain function with diffuse optical tomography.

Authors:  Hamid Dehghani; Brian R White; Benjamin W Zeff; Andrew Tizzard; Joseph P Culver
Journal:  Appl Opt       Date:  2009-04-01       Impact factor: 1.980

9.  Atlas-based head modeling and spatial normalization for high-density diffuse optical tomography: in vivo validation against fMRI.

Authors:  Silvina L Ferradal; Adam T Eggebrecht; Mahlega Hassanpour; Abraham Z Snyder; Joseph P Culver
Journal:  Neuroimage       Date:  2013-04-08       Impact factor: 6.556

10.  Diffuse optical cortical mapping using the boundary element method.

Authors:  Josias Elisee; Adam Gibson; Simon Arridge
Journal:  Biomed Opt Express       Date:  2011-02-11       Impact factor: 3.732

  10 in total

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