Literature DB >> 16685984

Anatomical and electrophysiological validation of an atlas for neurosurgical planning.

M Mallar Chakravarty1, Abbas F Sadikot, Jurgen Germann, Gilles Bertrand, D Louis Collins.   

Abstract

Digital brain atlases can be used in conjunction with magnetic resonance imaging (MRI) and computed tomography (CT) for planning and guidance during neurosurgery. Digital atlases are advantageous, since they can be warped nonlinearly to fit each patient's unique anatomy. Two atlas-to-patient warping techniques are compared in this paper. The first technique uses an MRI template as an intermediary to estimate a nonlinear atlas-to-patient transformation. The second, is novel, and uses a pseudo-MRI volume, derived from the voxel-label-atlas, to estimate the atlas-to-patient transformation directly. Manual segmentations and functional data are used to validate the two methods.

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Year:  2005        PMID: 16685984     DOI: 10.1007/11566489_49

Source DB:  PubMed          Journal:  Med Image Comput Comput Assist Interv


  6 in total

1.  Comparison of piece-wise linear, linear, and nonlinear atlas-to-patient warping techniques: analysis of the labeling of subcortical nuclei for functional neurosurgical applications.

Authors:  M Mallar Chakravarty; Abbas F Sadikot; Jürgen Germann; Pierre Hellier; Gilles Bertrand; D Louis Collins
Journal:  Hum Brain Mapp       Date:  2009-11       Impact factor: 5.038

2.  Fully automated targeting using nonrigid image registration matches accuracy and exceeds precision of best manual approaches to subthalamic deep brain stimulation targeting in Parkinson disease.

Authors:  Srivatsan Pallavaram; Pierre-François DʼHaese; Wendell Lake; Peter E Konrad; Benoit M Dawant; Joseph S Neimat
Journal:  Neurosurgery       Date:  2015-06       Impact factor: 4.654

3.  Fronto-striatal connections in the human brain: a probabilistic diffusion tractography study.

Authors:  Sandra E Leh; Alain Ptito; M Mallar Chakravarty; Antonio P Strafella
Journal:  Neurosci Lett       Date:  2007-05-04       Impact factor: 3.046

4.  Synergistic tissue counterstaining and image segmentation techniques for accurate, quantitative immunohistochemistry.

Authors:  Simone P Zehntner; M Mallar Chakravarty; Rozica J Bolovan; Christopher Chan; Barry J Bedell
Journal:  J Histochem Cytochem       Date:  2008-06-23       Impact factor: 2.479

5.  Robust S1, S2, and thalamic activations in individual subjects with vibrotactile stimulation at 1.5 and 3.0 T.

Authors:  M Mallar Chakravarty; Pedro Rosa-Neto; Scott Broadbent; Alan C Evans; D Louis Collins
Journal:  Hum Brain Mapp       Date:  2009-04       Impact factor: 5.038

6.  Creation of Computerized 3D MRI-Integrated Atlases of the Human Basal Ganglia and Thalamus.

Authors:  Abbas F Sadikot; M Mallar Chakravarty; Gilles Bertrand; Vladimir V Rymar; Fahd Al-Subaie; D Louis Collins
Journal:  Front Syst Neurosci       Date:  2011-09-06
  6 in total

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