Literature DB >> 16406816

The creation of a brain atlas for image guided neurosurgery using serial histological data.

M Mallar Chakravarty1, Gilles Bertrand, Charles P Hodge, Abbas F Sadikot, D Louis Collins.   

Abstract

Digital and print brain atlases have been used with success to help in the planning of neurosurgical interventions. In this paper, a technique presented for the creation of a brain atlas of the basal ganglia and the thalamus derived from serial histological data. Photographs of coronal histological sections were digitized and anatomical structures were manually segmented. A slice-to-slice nonlinear registration technique was used to correct for spatial distortions introduced into the histological data set at the time of acquisition. Since the histological data were acquired without any anatomical reference (e.g., block-face imaging, post-mortem MRI), this registration technique was optimized to use an error metric which calculates a nonlinear transformation minimizing the mean distance between the segmented contours between adjacent pairs of slices in the data set. A voxel-by-voxel intensity correction field was also estimated for each slice to correct for lighting and staining inhomogeneity. The reconstructed three-dimensional (3D) histological volume can be viewed in transverse and sagittal directions in addition to the original coronal. Nonlinear transformations used to correct for spatial distortions of the histological data were applied to the segmented structure contours. These contours were then tessellated to create three-dimensional geometric objects representing the different anatomic regions in register with the histological volumes. This yields two alternate representations (one histological and one geometric) of the atlas. To register the atlas to a standard reference MR volume created from the average of 27 T1-weighted MR volumes, a pseudo-MRI was created by setting the intensity of each anatomical region defined in the geometric atlas to match the intensity of the corresponding region of the reference MR volume. This allowed the estimation of a 3D nonlinear transformation using a correlation based registration scheme to fit the atlas to the reference MRI. The result of this procedure is a contiguous 3D histological volume, a set of 3D objects defining the basal ganglia and thalamus, both of which are registered to a standard MRI data set, for use for neurosurgical planning.

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Year:  2006        PMID: 16406816     DOI: 10.1016/j.neuroimage.2005.09.041

Source DB:  PubMed          Journal:  Neuroimage        ISSN: 1053-8119            Impact factor:   6.556


  104 in total

1.  CranialVault and its CRAVE tools: a clinical computer assistance system for deep brain stimulation (DBS) therapy.

Authors:  Pierre-François D'Haese; Srivatsan Pallavaram; Rui Li; Michael S Remple; Chris Kao; Joseph S Neimat; Peter E Konrad; Benoit M Dawant
Journal:  Med Image Anal       Date:  2010-08-01       Impact factor: 8.545

2.  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

3.  Performing label-fusion-based segmentation using multiple automatically generated templates.

Authors:  M Mallar Chakravarty; Patrick Steadman; Matthijs C van Eede; Rebecca D Calcott; Victoria Gu; Philip Shaw; Armin Raznahan; D Louis Collins; Jason P Lerch
Journal:  Hum Brain Mapp       Date:  2012-05-19       Impact factor: 5.038

4.  An Allometric Analysis of Sex and Sex Chromosome Dosage Effects on Subcortical Anatomy in Humans.

Authors:  Paul Kirkpatrick Reardon; Liv Clasen; Jay N Giedd; Jonathan Blumenthal; Jason P Lerch; M Mallar Chakravarty; Armin Raznahan
Journal:  J Neurosci       Date:  2016-02-24       Impact factor: 6.167

5.  Glutamatergic Metabolites, Volume and Cortical Thickness in Antipsychotic-Naive Patients with First-Episode Psychosis: Implications for Excitotoxicity.

Authors:  Eric Plitman; Raihaan Patel; Jun Ku Chung; Jon Pipitone; Sofia Chavez; Francisco Reyes-Madrigal; Gladys Gómez-Cruz; Pablo León-Ortiz; M Mallar Chakravarty; Camilo de la Fuente-Sandoval; Ariel Graff-Guerrero
Journal:  Neuropsychopharmacology       Date:  2016-06-08       Impact factor: 7.853

6.  Striatal shape abnormalities as novel neurodevelopmental endophenotypes in schizophrenia: a longitudinal study.

Authors:  M Mallar Chakravarty; Judith L Rapoport; Jay N Giedd; Armin Raznahan; Philip Shaw; D Louis Collins; Jason P Lerch; Nitin Gogtay
Journal:  Hum Brain Mapp       Date:  2014-12-11       Impact factor: 5.038

7.  Thalamus is a common locus of reading, arithmetic, and IQ: Analysis of local intrinsic functional properties.

Authors:  Maki S Koyama; Peter J Molfese; Michael P Milham; W Einar Mencl; Kenneth R Pugh
Journal:  Brain Lang       Date:  2020-07-29       Impact factor: 2.381

8.  High-resolution In Vivo Manual Segmentation Protocol for Human Hippocampal Subfields Using 3T Magnetic Resonance Imaging.

Authors:  Julie Winterburn; Jens C Pruessner; Chavez Sofia; Mark M Schira; Nancy J Lobaugh; Aristotle N Voineskos; M Mallar Chakravarty
Journal:  J Vis Exp       Date:  2015-11-10       Impact factor: 1.355

9.  Towards ultra-high resolution fibre tract mapping of the human brain - registration of polarised light images and reorientation of fibre vectors.

Authors:  Christoph Palm; Markus Axer; David Gräßel; Jürgen Dammers; Johannes Lindemeyer; Karl Zilles; Uwe Pietrzyk; Katrin Amunts
Journal:  Front Hum Neurosci       Date:  2010-04-23       Impact factor: 3.169

10.  Direct visualization of the perforant pathway in the human brain with ex vivo diffusion tensor imaging.

Authors:  Jean C Augustinack; Karl Helmer; Kristen E Huber; Sita Kakunoori; Lilla Zöllei; Bruce Fischl
Journal:  Front Hum Neurosci       Date:  2010-05-28       Impact factor: 3.169

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