Literature DB >> 12704758

Conventional DTI vs. slow and fast diffusion tensors in cat visual cortex.

Itamar Ronen1, Keun-Ho Kim, Michael Garwood, Kamil Ugurbil, Dae-Shik Kim.   

Abstract

Diffusion tensor imaging (DTI) uses water diffusion anisotropy in axonal fibers to provide a tool for analyzing and tracking those fibers in brain white matter. In the present work, multidirectional diffusion MRI data were collected from a cat brain and decomposed into slow and fast diffusion tensors and directly compared with conventional DTI data from the same imaging slice. The fractional anisotropy of the slow diffusing component (D(slow)) was significantly higher than the anisotropy measured by conventional DTI while reflecting a similar directionality and appeared to account for most of the anisotropy observed in gray matter, where the fiber density is notoriously low. Preliminary results of fiber tracking based on the slow diffusion component are shown. Fibers generated based on the slow diffusion component appear to follow the vertical fibers in gray matter. D(slow)TI may provide a way for increasing the sensitivity to anisotropic structures in cortical gray matter. Copyright 2003 Wiley-Liss, Inc.

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Year:  2003        PMID: 12704758     DOI: 10.1002/mrm.10431

Source DB:  PubMed          Journal:  Magn Reson Med        ISSN: 0740-3194            Impact factor:   4.668


  10 in total

1.  Reconstruction of the orientation distribution function in single- and multiple-shell q-ball imaging within constant solid angle.

Authors:  Iman Aganj; Christophe Lenglet; Guillermo Sapiro; Essa Yacoub; Kamil Ugurbil; Noam Harel
Journal:  Magn Reson Med       Date:  2010-08       Impact factor: 4.668

2.  DTI at long diffusion time improves fiber tracking.

Authors:  Swati Rane; Govind Nair; Timothy Q Duong
Journal:  NMR Biomed       Date:  2010-06       Impact factor: 4.044

3.  Preliminary experience with visualization of intracortical fibers by focused high-resolution diffusion tensor imaging.

Authors:  T Jaermann; N De Zanche; P Staempfli; K P Pruessmann; A Valavanis; P Boesiger; S S Kollias
Journal:  AJNR Am J Neuroradiol       Date:  2007-10-18       Impact factor: 3.825

4.  Hybrid diffusion imaging.

Authors:  Yu-Chien Wu; Andrew L Alexander
Journal:  Neuroimage       Date:  2007-03-24       Impact factor: 6.556

5.  Computation of diffusion function measures in q-space using magnetic resonance hybrid diffusion imaging.

Authors:  Yu-Chien Wu; Aaron S Field; Andrew L Alexander
Journal:  IEEE Trans Med Imaging       Date:  2008-06       Impact factor: 10.048

6.  Probing tissue microstructure with restriction spectrum imaging: Histological and theoretical validation.

Authors:  Nathan S White; Trygve B Leergaard; Helen D'Arceuil; Jan G Bjaalie; Anders M Dale
Journal:  Hum Brain Mapp       Date:  2012-01-16       Impact factor: 5.038

7.  White matter is altered with parental family history of Alzheimer's disease.

Authors:  Barbara B Bendlin; Michele L Ries; Elisa Canu; Aparna Sodhi; Mariana Lazar; Andrew L Alexander; Cynthia M Carlsson; Mark A Sager; Sanjay Asthana; Sterling C Johnson
Journal:  Alzheimers Dement       Date:  2010-08-14       Impact factor: 21.566

8.  Layer-specific intracortical connectivity revealed with diffusion MRI.

Authors:  Christoph W U Leuze; Alfred Anwander; Pierre-Louis Bazin; Bibek Dhital; Carsten Stüber; Katja Reimann; Stefan Geyer; Robert Turner
Journal:  Cereb Cortex       Date:  2012-10-25       Impact factor: 5.357

9.  Functional and diffusion tensor magnetic resonance imaging of the sheep brain.

Authors:  Wonhye Lee; Stephanie D Lee; Michael Y Park; Lori Foley; Erin Purcell-Estabrook; Hyungmin Kim; Seung-Schik Yoo
Journal:  BMC Vet Res       Date:  2015-10-14       Impact factor: 2.741

10.  In vivo study of cerebral white matter in the dog using diffusion tensor tractography.

Authors:  Mitzi Sarahí Anaya García; Jael Sarahí Hernández Anaya; Oscar Marrufo Meléndez; José Luis Velázquez Ramírez; Ricardo Palacios Aguiar
Journal:  Vet Radiol Ultrasound       Date:  2014-10-06       Impact factor: 1.363

  10 in total

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