Literature DB >> 15390228

Automatic registration of brain magnetic resonance images based on Talairach reference system.

Yeji Han1, HyunWook Park.   

Abstract

PURPOSE: To demonstrate a robust registration method of brain magnetic resonance (MR) images based on the Talairach reference system with automatic determinations of the fiducial points.
MATERIALS AND METHODS: Eight specified landmark points of the Talairach reference system are determined after successfully extracting the midsagittal plane from three-dimensional MR imaging (MRI) data. Projection information of the image intensity is used to determine the midline of the cerebrum in axial and coronal view images, which is a necessary step for extraction of the midsagittal plane. To find the landmarks of anterior commissure (AC) and posterior commissure (PC) in the midsagittal plane, we adopt two-step shape matching that properly finds locations of the corpus callosum (CC), and then AC and PC, respectively. The shape matching is performed on the edge-enhanced midsagittal plane image to minimize dependency on image intensity variation. Other landmark points of the Talairach reference system are determined by fitting the intensity curve of the cutview with the Gaussian model.
RESULTS: The proposed method automatically determines seven landmark points, except the inferior point (IP), and the brain MR images can be successfully registered with the Talairach reference system.
CONCLUSION: The suggested registration method can be applied to any MR images for functional studies. It can also be applied to patients unless their brains are highly deformed or have a highly deformed CC. Copyright 2004 Wiley-Liss, Inc.

Entities:  

Mesh:

Year:  2004        PMID: 15390228     DOI: 10.1002/jmri.20168

Source DB:  PubMed          Journal:  J Magn Reson Imaging        ISSN: 1053-1807            Impact factor:   4.813


  4 in total

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2.  AutoVOI: real-time automatic prescription of volume-of-interest for single voxel spectroscopy.

Authors:  Young Woo Park; Dinesh K Deelchand; James M Joers; Brian Hanna; Adam Berrington; Joseph S Gillen; Kejal Kantarci; Brian J Soher; Peter B Barker; HyunWook Park; Gülin Öz; Christophe Lenglet
Journal:  Magn Reson Med       Date:  2018-04-06       Impact factor: 4.668

3.  Automatic localization of anatomical point landmarks for brain image processing algorithms.

Authors:  Scott C Neu; Arthur W Toga
Journal:  Neuroinformatics       Date:  2008-05-30

4.  Model-based automatic detection of the anterior and posterior commissures on MRI scans.

Authors:  Babak A Ardekani; Alvin H Bachman
Journal:  Neuroimage       Date:  2009-03-03       Impact factor: 6.556

  4 in total

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