Literature DB >> 9246858

Matching of digitised brain atlas to magnetic resonance images.

C Sorlié1, O Bertrand, B Yvert, J C Froment, J Pernier.   

Abstract

A method has been developed to match a standard digitised brain atlas onto MR images for identification of cerebral structures in anatomical images. This method uses, first, a three-dimensional crude registration based on the proportional system of Talairach. Then, a two-dimensional refined registration is performed using a deformation function based on a set of homologous landmarks on both images (MR and atlas). Displacements vectors are computed between each corresponding landmark. These vectors are interpolated by thin-plate splines, generating an unwarping function defined on the whole image. This function can then be applied on any structure of the atlas. An evaluation of the matching procedure has been performed. First, the influence of the choice of the landmarks has been evaluated for the fine registration method. The latter has been then compared to the crude registration method considered as a classical reference method. These results show the advantages of the fine registration approach.

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Year:  1997        PMID: 9246858     DOI: 10.1007/bf02530044

Source DB:  PubMed          Journal:  Med Biol Eng Comput        ISSN: 0140-0118            Impact factor:   2.602


  15 in total

1.  Plastic transformation of PET images.

Authors:  K J Friston; C D Frith; P F Liddle; R S Frackowiak
Journal:  J Comput Assist Tomogr       Date:  1991 Jul-Aug       Impact factor: 1.826

2.  Discrete contour map representation of image matrices.

Authors:  J Winter
Journal:  IEEE Trans Med Imaging       Date:  1984       Impact factor: 10.048

3.  Synthesized image processing in clinical neurosurgery.

Authors:  K Kikuchi; M Kowada; H Ogayama; J Sasanuma; K Watanabe
Journal:  Eur J Radiol       Date:  1990 Jan-Feb       Impact factor: 3.528

4.  Evaluation of elastic matching system for anatomic (CT, MR) and functional (PET) cerebral images.

Authors:  R Dann; J Hoford; S Kovacic; M Reivich; R Bajcsy
Journal:  J Comput Assist Tomogr       Date:  1989 Jul-Aug       Impact factor: 1.826

5.  Anatomical-functional correlation using an adjustable MRI-based region of interest atlas with positron emission tomography.

Authors:  A C Evans; C Beil; S Marrett; C J Thompson; A Hakim
Journal:  J Cereb Blood Flow Metab       Date:  1988-08       Impact factor: 6.200

6.  Elastically deforming 3D atlas to match anatomical brain images.

Authors:  J C Gee; M Reivich; R Bajcsy
Journal:  J Comput Assist Tomogr       Date:  1993 Mar-Apr       Impact factor: 1.826

7.  Automatic 3D intersubject registration of MR volumetric data in standardized Talairach space.

Authors:  D L Collins; P Neelin; T M Peters; A C Evans
Journal:  J Comput Assist Tomogr       Date:  1994 Mar-Apr       Impact factor: 1.826

8.  A computerized adjustable brain atlas.

Authors:  C Bohm; T Greitz; L Eriksson
Journal:  Eur J Nucl Med       Date:  1989

9.  Accuracy and precision of the computerized brain atlas programme for localization and quantification in positron emission tomography.

Authors:  R J Seitz; C Bohm; T Greitz; P E Roland; L Eriksson; G Blomqvist; G Rosenqvist; B Nordell
Journal:  J Cereb Blood Flow Metab       Date:  1990-07       Impact factor: 6.200

10.  A computerized brain atlas: construction, anatomical content, and some applications.

Authors:  T Greitz; C Bohm; S Holte; L Eriksson
Journal:  J Comput Assist Tomogr       Date:  1991 Jan-Feb       Impact factor: 1.826

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  2 in total

1.  Lesion segmentation and manual warping to a reference brain: intra- and interobserver reliability.

Authors:  J A Fiez; H Damasio; T J Grabowski
Journal:  Hum Brain Mapp       Date:  2000-04       Impact factor: 5.038

2.  Multimodal 7T Imaging of Thalamic Nuclei for Preclinical Deep Brain Stimulation Applications.

Authors:  YiZi Xiao; Laura M Zitella; Yuval Duchin; Benjamin A Teplitzky; Daniel Kastl; Gregor Adriany; Essa Yacoub; Noam Harel; Matthew D Johnson
Journal:  Front Neurosci       Date:  2016-06-10       Impact factor: 4.677

  2 in total

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