Literature DB >> 18425838

A tracking-based diffusion tensor imaging segmentation method for the detection of diffusion-related changes of the cervical spinal cord with aging.

Wim Van Hecke1, Alexander Leemans, Jan Sijbers, Evert Vandervliet, Johan Van Goethem, Paul M Parizel.   

Abstract

PURPOSE: To compare region of interest (ROI)-based and diffusion tensor tractography (DTT)-based methods for evaluating diffusion properties of the spinal cord as a function of age.
MATERIALS AND METHODS: Commonly, an ROI segmentation is used to delineate the spinal cord. In this work, new segmentation methods are developed based on DTT. In a first, DTT-based, segmentation approach, the diffusion properties are calculated on the tracts. In a second method, the diffusion properties are analyzed in the spinal cord voxels that contain a certain number of tracts. We studied the changes in diffusion properties of the human spinal cord in subjects of different ages. Diffusion tensor imaging (DTI) measurements of the cervical spinal cord were acquired on 42 healthy volunteers (age range = 19-87 years). The fractional anisotropy (FA), the mean diffusivity (MD), and eigenvalues (lambda(1), lambda(2), and lambda(3)) were compared for the ROI- and DTT-based segmentation methods.
RESULTS: Our automatic techniques are shown to be highly reproducible and sensitive for detecting DTI changes. FA decreased (r = -0.38; P < 0.05), whereas MD and eigenvalues increased (r = +/- 0.45; P < 0.05) with age. These trends were not statistically significant for the ROI-based segmentation (P > 0.05).
CONCLUSION: DTT is a robust and reproducible technique to segment the voxels of interest in the spinal cord. (c) 2008 Wiley-Liss, Inc.

Entities:  

Mesh:

Year:  2008        PMID: 18425838     DOI: 10.1002/jmri.21338

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


  24 in total

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Authors:  Jean-François Budzik; Vincent Balbi; Vianney Le Thuc; Alain Duhamel; Richard Assaker; Anne Cotten
Journal:  Eur Radiol       Date:  2010-08-20       Impact factor: 5.315

2.  Fiber density index in the evaluation of the spinal cord in patients with multiple sclerosis.

Authors:  M Ukmar; A Montalbano; E Makuc; I Specogna; A Bratina; R Longo; M A Cova
Journal:  Radiol Med       Date:  2012-06-28       Impact factor: 3.469

3.  Tractography of lumbar nerve roots: initial results.

Authors:  Vincent Balbi; Jean-François Budzik; Alain Duhamel; Anne Bera-Louville; Vianney Le Thuc; Anne Cotten
Journal:  Eur Radiol       Date:  2011-01-16       Impact factor: 5.315

4.  Normal values of cervical spinal cord diffusion tensor in young and middle-aged healthy Chinese.

Authors:  Tin-Yan Chan; Xiang Li; Kin-Cheung Mak; Jason Pui-yin Cheung; Keith Dip-Kei Luk; Yong Hu
Journal:  Eur Spine J       Date:  2015-07-25       Impact factor: 3.134

5.  Pulse-triggered DTI sequence with reduced FOV and coronal acquisition at 3T for the assessment of the cervical spinal cord in patients with myelitis.

Authors:  J Hodel; P Besson; O Outteryck; H Zéphir; D Ducreux; A Monnet; D Chéchin; M Zins; M Rodallec; J P Pruvo; P Vermersch; X Leclerc
Journal:  AJNR Am J Neuroradiol       Date:  2012-08-23       Impact factor: 3.825

6.  Diffusion Tensor Imaging of the Normal Cervical and Thoracic Pediatric Spinal Cord.

Authors:  S Saksena; D M Middleton; L Krisa; P Shah; S H Faro; R Sinko; J Gaughan; J Finsterbusch; M J Mulcahey; F B Mohamed
Journal:  AJNR Am J Neuroradiol       Date:  2016-07-14       Impact factor: 3.825

7.  Quantitative Evaluation of the Compressed L5 and S1 Nerve Roots in Unilateral Lumbar Disc Herniation by Using Diffusion Tensor Imaging.

Authors:  Jiulong Zhang; Feng Zhang; Fuxia Xiao; Zuogang Xiong; Dong Liu; Ting Hua; Nekitsing Indima; Guangyu Tang
Journal:  Clin Neuroradiol       Date:  2017-08-21       Impact factor: 3.649

8.  Usefulness of diffusion tensor MR imaging in the assessment of intramedullary changes of the cervical spinal cord in different stages of degenerative spine disease.

Authors:  Anna Banaszek; Joanna Bladowska; Paweł Szewczyk; Przemysław Podgórski; Marek Sąsiadek
Journal:  Eur Spine J       Date:  2014-05-11       Impact factor: 3.134

9.  Semi-automated 3D segmentation of major tracts in the rat brain: comparing DTI with standard histological methods.

Authors:  Erika Gyengesi; Evan Calabrese; Matthew C Sherrier; G Allan Johnson; George Paxinos; Charles Watson
Journal:  Brain Struct Funct       Date:  2013-03-01       Impact factor: 3.270

Review 10.  The current state-of-the-art of spinal cord imaging: methods.

Authors:  P W Stroman; C Wheeler-Kingshott; M Bacon; J M Schwab; R Bosma; J Brooks; D Cadotte; T Carlstedt; O Ciccarelli; J Cohen-Adad; A Curt; N Evangelou; M G Fehlings; M Filippi; B J Kelley; S Kollias; A Mackay; C A Porro; S Smith; S M Strittmatter; P Summers; I Tracey
Journal:  Neuroimage       Date:  2013-05-14       Impact factor: 6.556

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