Literature DB >> 23212757

Diffusion imaging in neurological disease.

V F J Newcombe1, T Das, J J Cross.   

Abstract

Diffusion-weighted imaging can be used to assess the microscopic properties of measured tissues, providing insights into the architecture of neural tissues and how they change in physiological and pathological states. Such imaging data can be readily quantified to provide numerical values of parameters that have clinical relevance, particularly in regard to cellular constituents of tumours, chemical contents of cysts, the integrity of neuronal cell bodies and myelin sheaths. Diffusion based techniques have proven to be particularly useful in investigating cerebral infarction, cerebral infections, epidermoid and other cysts, cerebral tumours, and white matter disorders. The purpose of this review is to introduce key concepts in diffusion imaging and illustrate how it may be applied to clinical practice, with particular reference to head injury.

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Year:  2012        PMID: 23212757     DOI: 10.1007/s00415-012-6769-y

Source DB:  PubMed          Journal:  J Neurol        ISSN: 0340-5354            Impact factor:   4.849


  15 in total

Review 1.  Fiber tracking: principles and strategies - a technical review.

Authors:  Susumu Mori; Peter C M van Zijl
Journal:  NMR Biomed       Date:  2002 Nov-Dec       Impact factor: 4.044

Review 2.  Looking into the functional architecture of the brain with diffusion MRI.

Authors:  Denis Le Bihan
Journal:  Nat Rev Neurosci       Date:  2003-06       Impact factor: 34.870

3.  Characterization and propagation of uncertainty in diffusion-weighted MR imaging.

Authors:  T E J Behrens; M W Woolrich; M Jenkinson; H Johansen-Berg; R G Nunes; S Clare; P M Matthews; J M Brady; S M Smith
Journal:  Magn Reson Med       Date:  2003-11       Impact factor: 4.668

4.  Exploring connectivity of the brain's white matter with dynamic queries.

Authors:  Anthony Sherbondy; David Akers; Rachel Mackenzie; Robert Dougherty; Brian Wandell
Journal:  IEEE Trans Vis Comput Graph       Date:  2005 Jul-Aug       Impact factor: 4.579

Review 5.  Diffusion-tensor MR imaging and tractography: exploring brain microstructure and connectivity.

Authors:  Paolo G P Nucifora; Ragini Verma; Seung-Koo Lee; Elias R Melhem
Journal:  Radiology       Date:  2007-11       Impact factor: 11.105

6.  Towards better MR characterization of neural tissues using directional diffusion kurtosis analysis.

Authors:  Edward S Hui; Matthew M Cheung; Liqun Qi; Ed X Wu
Journal:  Neuroimage       Date:  2008-04-30       Impact factor: 6.556

7.  Microstructural and physiological features of tissues elucidated by quantitative-diffusion-tensor MRI.

Authors:  P J Basser; C Pierpaoli
Journal:  J Magn Reson B       Date:  1996-06

8.  Application of a probabilistic double-fibre structure model to diffusion-weighted MR images of the human brain.

Authors:  Tim P Hosey; Sally G Harding; T Adrian Carpenter; Richard E Ansorge; Guy B Williams
Journal:  Magn Reson Imaging       Date:  2007-09-19       Impact factor: 2.546

9.  Tract-based spatial statistics: voxelwise analysis of multi-subject diffusion data.

Authors:  Stephen M Smith; Mark Jenkinson; Heidi Johansen-Berg; Daniel Rueckert; Thomas E Nichols; Clare E Mackay; Kate E Watkins; Olga Ciccarelli; M Zaheer Cader; Paul M Matthews; Timothy E J Behrens
Journal:  Neuroimage       Date:  2006-04-19       Impact factor: 6.556

10.  Probabilistic diffusion tractography with multiple fibre orientations: What can we gain?

Authors:  T E J Behrens; H Johansen Berg; S Jbabdi; M F S Rushworth; M W Woolrich
Journal:  Neuroimage       Date:  2006-10-27       Impact factor: 6.556

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  3 in total

1.  Measuring Connectivity in the Primary Visual Pathway in Human Albinism Using Diffusion Tensor Imaging and Tractography.

Authors:  Anahit Grigorian; Larissa McKetton; Keith A Schneider
Journal:  J Vis Exp       Date:  2016-08-11       Impact factor: 1.355

2.  Delineation of the ischemic stroke lesion based on watershed and relative fuzzy connectedness in brain MRI.

Authors:  Asit Subudhi; Subhranshu Jena; Sukanta Sabut
Journal:  Med Biol Eng Comput       Date:  2017-09-26       Impact factor: 2.602

3.  Automatic detection and quantification of acute cerebral infarct by fuzzy clustering and histographic characterization on diffusion weighted MR imaging and apparent diffusion coefficient map.

Authors:  Jang-Zern Tsai; Syu-Jyun Peng; Yu-Wei Chen; Kuo-Wei Wang; Hsiao-Kuang Wu; Yun-Yu Lin; Ying-Ying Lee; Chi-Jen Chen; Huey-Juan Lin; Eric Edward Smith; Poh-Shiow Yeh; Yue-Loong Hsin
Journal:  Biomed Res Int       Date:  2014-03-12       Impact factor: 3.411

  3 in total

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