Literature DB >> 29352390

A Spatial Registration Toolbox for Structural MR Imaging of the Aging Brain.

Marco Ganzetti1, Quanying Liu2,3, Dante Mantini2,3,4.   

Abstract

During aging the brain undergoes a series of structural changes, in size, shape as well as tissue composition. In particular, cortical atrophy and ventricular enlargement are often present in the brain of elderly individuals. This poses serious challenges in the spatial registration of structural MR images. In this study, we addressed this open issue by proposing an enhanced framework for MR registration and segmentation. Our solution was compared with other approaches based on the tools available in SPM12, a widely used software package. Performance of the different methods was assessed on 229 T1-weighted images collected in healthy individuals, with age ranging between 55 and 90 years old. Our method showed a consistent improvement as compared to other solutions, especially for subjects with enlarged lateral ventricles. It also provided a superior inter-subject alignment in cortical regions, with the most marked improvement in the frontal lobe. We conclude that our method is a valid alternative to standard approaches based on SPM12, and is particularly suitable for the processing of structural MR images of brains with cortical atrophy and ventricular enlargement. The method is integrated in our software toolbox MRTool, which is freely available to the scientific community.

Entities:  

Keywords:  Aging; Large ventricles; MRTool; Magnetic resonance imaging; Normalization; Segmentation; Spatial registration

Mesh:

Year:  2018        PMID: 29352390     DOI: 10.1007/s12021-018-9355-3

Source DB:  PubMed          Journal:  Neuroinformatics        ISSN: 1539-2791


  38 in total

1.  Magnetic resonance image tissue classification using a partial volume model.

Authors:  D W Shattuck; S R Sandor-Leahy; K A Schaper; D A Rottenberg; R M Leahy
Journal:  Neuroimage       Date:  2001-05       Impact factor: 6.556

2.  Whole brain segmentation: automated labeling of neuroanatomical structures in the human brain.

Authors:  Bruce Fischl; David H Salat; Evelina Busa; Marilyn Albert; Megan Dieterich; Christian Haselgrove; Andre van der Kouwe; Ron Killiany; David Kennedy; Shuna Klaveness; Albert Montillo; Nikos Makris; Bruce Rosen; Anders M Dale
Journal:  Neuron       Date:  2002-01-31       Impact factor: 17.173

Review 3.  The problem of functional localization in the human brain.

Authors:  Matthew Brett; Ingrid S Johnsrude; Adrian M Owen
Journal:  Nat Rev Neurosci       Date:  2002-03       Impact factor: 34.870

4.  Comparison of spatial normalization procedures and their impact on functional maps.

Authors:  Fabrice Crivello; Thorsten Schormann; Nathalie Tzourio-Mazoyer; Per E Roland; Karl Zilles; Bernard M Mazoyer
Journal:  Hum Brain Mapp       Date:  2002-08       Impact factor: 5.038

5.  Multi-modal volume registration by maximization of mutual information.

Authors:  W M Wells; P Viola; H Atsumi; S Nakajima; R Kikinis
Journal:  Med Image Anal       Date:  1996-03       Impact factor: 8.545

6.  MRI of the brain in neurologically healthy middle-aged and elderly individuals.

Authors:  O Salonen; T Autti; R Raininko; A Ylikoski; T Erkinjuntti
Journal:  Neuroradiology       Date:  1997-08       Impact factor: 2.804

7.  An image correlation procedure for digitally reconstructed radiographs and electronic portal images.

Authors:  L Dong; A L Boyer
Journal:  Int J Radiat Oncol Biol Phys       Date:  1995-12-01       Impact factor: 7.038

8.  Effect of nonrigid registration algorithms on deformation-based morphometry: a comparative study with control and Williams syndrome subjects.

Authors:  Zhaoying Han; Tricia A Thornton-Wells; Elisabeth M Dykens; John C Gore; Benoit M Dawant
Journal:  Magn Reson Imaging       Date:  2012-03-27       Impact factor: 2.546

9.  Adjusting for global effects in voxel-based morphometry: gray matter decline in normal aging.

Authors:  Jonathan E Peelle; Rhodri Cusack; Richard N A Henson
Journal:  Neuroimage       Date:  2012-01-08       Impact factor: 6.556

10.  Intensity Inhomogeneity Correction of Structural MR Images: A Data-Driven Approach to Define Input Algorithm Parameters.

Authors:  Marco Ganzetti; Nicole Wenderoth; Dante Mantini
Journal:  Front Neuroinform       Date:  2016-03-15       Impact factor: 4.081

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  1 in total

Review 1.  Multi-atlas image registration of clinical data with automated quality assessment using ventricle segmentation.

Authors:  Florian Dubost; Marleen de Bruijne; Marco Nardin; Adrian V Dalca; Kathleen L Donahue; Anne-Katrin Giese; Mark R Etherton; Ona Wu; Marius de Groot; Wiro Niessen; Meike Vernooij; Natalia S Rost; Markus D Schirmer
Journal:  Med Image Anal       Date:  2020-04-18       Impact factor: 8.545

  1 in total

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