Literature DB >> 12956267

Retrospective evaluation of intersubject brain registration.

P Hellier1, C Barillot, I Corouge, B Gibaud, G Le Goualher, D L Collins, A Evans, G Malandain, N Ayache, G E Christensen, H J Johnson.   

Abstract

Although numerous methods to register brains of different individuals have been proposed, no work has been done, as far as we know, to evaluate and objectively compare the performances of different nonrigid (or elastic) registration methods on the same database of subjects. In this paper, we propose an evaluation framework, based on global and local measures of the relevance of the registration. We have chosen to focus more particularly on the matching of cortical areas, since intersubject registration methods are dedicated to anatomical and functional normalization, and also because other groups have shown the relevance of such registration methods for deep brain structures. Experiments were conducted using 6 methods on a database of 18 subjects. The global measures used show that the quality of the registration is directly related to the transformation's degrees of freedom. More surprisingly, local measures based on the matching of cortical sulci did not show significant differences between rigid and non rigid methods.

Mesh:

Year:  2003        PMID: 12956267     DOI: 10.1109/TMI.2003.816961

Source DB:  PubMed          Journal:  IEEE Trans Med Imaging        ISSN: 0278-0062            Impact factor:   10.048


  48 in total

1.  Feature-based morphometry.

Authors:  Matthew Toews; William M Wells; D Louis Collins; Tal Arbel
Journal:  Med Image Comput Comput Assist Interv       Date:  2009

2.  Integrated Intensity and Point-Feature Nonrigid Registration.

Authors:  Xenophon Papademetris; Andrea P Jackowski; Robert T Schultz; Lawrence H Staib; James S Duncan
Journal:  Med Image Comput Comput Assist Interv       Date:  2001-09-02

3.  Shape Comparison Using Perturbing Shape Registration.

Authors:  Yifeng Jiang; Erin Edmiston; Fei Wang; Hilary P Blumberg; Lawrence H Staib; Xenophon Papademetris
Journal:  Proc IEEE Comput Soc Conf Comput Vis Pattern Recognit       Date:  2009-06-20

4.  Dealing with the shortcomings of spatial normalization: multi-subject parcellation of fMRI datasets.

Authors:  Bertrand Thirion; Guillaume Flandin; Philippe Pinel; Alexis Roche; Philippe Ciuciu; Jean-Baptiste Poline
Journal:  Hum Brain Mapp       Date:  2006-08       Impact factor: 5.038

5.  Application of a non-linear image registration algorithm to quantitative analysis of T2 relaxation time in transgenic mouse models of AD pathology.

Authors:  M F Falangola; B A Ardekani; S-P Lee; J S Babb; A Bogart; V V Dyakin; R Nixon; K Duff; J A Helpern
Journal:  J Neurosci Methods       Date:  2004-12-07       Impact factor: 2.390

6.  Characterizing the shape of anatomical structures with Poisson's equation.

Authors:  Haissam Haidar; Sylvain Bouix; James J Levitt; Robert W McCarley; Martha E Shenton; Janet S Soul
Journal:  IEEE Trans Med Imaging       Date:  2006-10       Impact factor: 10.048

Review 7.  Geometric strategies for neuroanatomic analysis from MRI.

Authors:  James S Duncan; Xenophon Papademetris; Jing Yang; Marcel Jackowski; Xiaolan Zeng; Lawrence H Staib
Journal:  Neuroimage       Date:  2004       Impact factor: 6.556

8.  Incongruence effects in crossmodal emotional integration.

Authors:  Veronika I Müller; Ute Habel; Birgit Derntl; Frank Schneider; Karl Zilles; Bruce I Turetsky; Simon B Eickhoff
Journal:  Neuroimage       Date:  2010-10-23       Impact factor: 6.556

9.  Quantitative comparison of AIR, SPM, and the fully deformable model for atlas-based segmentation of functional and structural MR images.

Authors:  Minjie Wu; Owen Carmichael; Pilar Lopez-Garcia; Cameron S Carter; Howard J Aizenstein
Journal:  Hum Brain Mapp       Date:  2006-09       Impact factor: 5.038

10.  Coordinate-based activation likelihood estimation meta-analysis of neuroimaging data: a random-effects approach based on empirical estimates of spatial uncertainty.

Authors:  Simon B Eickhoff; Angela R Laird; Christian Grefkes; Ling E Wang; Karl Zilles; Peter T Fox
Journal:  Hum Brain Mapp       Date:  2009-09       Impact factor: 5.038

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