Literature DB >> 12595107

In vivo MR tractography using diffusion imaging.

Roland Bammer1, Burak Acar, Michael E Moseley.   

Abstract

Diffusion in structured tissue, such as white matter or muscle, is anisotropic. MR diffusion tensor imaging (DTI) measures anisotropy per pixel and provides the directional information relevant for MR tractography or fiber tracking in vivo. MR tractography is non-invasive, relatively fast, and can be repeated multiple times without destructing important tissue. Moreover, the combination with other MR images is relatively simple. In this paper, the basic principles of tractography are presented. Different tracking methods with varying degrees of complexity are introduced and their potential strengths and weaknesses are discussed. Clinical applications and different strategies for evaluating the fidelity of tracking results are reviewed. Copyright 2002 Elsevier Science Ireland, Ltd.

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Year:  2003        PMID: 12595107     DOI: 10.1016/s0720-048x(02)00311-x

Source DB:  PubMed          Journal:  Eur J Radiol        ISSN: 0720-048X            Impact factor:   3.528


  46 in total

1.  Optimization of diffusion-tensor MR imaging data acquisition parameters for brain fiber tracking using parallel imaging at 3 T.

Authors:  Shinji Naganawa; Tokiko Koshikawa; Hisashi Kawai; Hiroshi Fukatsu; Takeo Ishigaki; Katsuya Maruyama; Osamu Takizawa
Journal:  Eur Radiol       Date:  2003-11-19       Impact factor: 5.315

Review 2.  Diffusion tensor imaging of the brain: review of clinical applications.

Authors:  P C Sundgren; Q Dong; D Gómez-Hassan; S K Mukherji; P Maly; R Welsh
Journal:  Neuroradiology       Date:  2004-04-21       Impact factor: 2.804

3.  High-resolution diffusion tensor imaging of the brain stem at 3 T.

Authors:  Lidia M Nagae-Poetscher; Hangyi Jiang; Setsu Wakana; Xavier Golay; Peter C M van Zijl; Susumu Mori
Journal:  AJNR Am J Neuroradiol       Date:  2004-09       Impact factor: 3.825

4.  In vivo visualization of the levator ani muscle subdivisions using MR fiber tractography with diffusion tensor imaging.

Authors:  Pascal Rousset; Vincent Delmas; Jean-Noël Buy; Alain Rahmouni; Dominique Vadrot; Jean-François Deux
Journal:  J Anat       Date:  2012-07-04       Impact factor: 2.610

Review 5.  Longitudinal study of callosal microstructure in the normal adult aging brain using quantitative DTI fiber tracking.

Authors:  Edith V Sullivan; Torsten Rohlfing; Adolf Pfefferbaum
Journal:  Dev Neuropsychol       Date:  2010       Impact factor: 2.253

6.  Accelerated magnetic resonance diffusion tensor imaging of the median nerve using simultaneous multi-slice echo planar imaging with blipped CAIPIRINHA.

Authors:  Lukas Filli; Marco Piccirelli; David Kenkel; Andreas Boss; Andrei Manoliu; Gustav Andreisek; Himanshu Bhat; Val M Runge; Roman Guggenberger
Journal:  Eur Radiol       Date:  2015-09-15       Impact factor: 5.315

7.  White matter fiber tracking computation based on diffusion tensor imaging for clinical applications.

Authors:  Paulo R Dellani; Martin Glaser; Paulo R Wille; Goran Vucurevic; Axel Stadie; Thomas Bauermann; Andrei Tropine; Axel Perneczky; Aldo von Wangenheim; Peter Stoeter
Journal:  J Digit Imaging       Date:  2007-03       Impact factor: 4.056

Review 8.  Foundations of advanced magnetic resonance imaging.

Authors:  Roland Bammer; Stefan Skare; Rexford Newbould; Chunlei Liu; Vincent Thijs; Stefan Ropele; David B Clayton; Gunnar Krueger; Michael E Moseley; Gary H Glover
Journal:  NeuroRx       Date:  2005-04

9.  Time-resolved 3D quantitative flow MRI of the major intracranial vessels: initial experience and comparative evaluation at 1.5T and 3.0T in combination with parallel imaging.

Authors:  Roland Bammer; Thomas A Hope; Murat Aksoy; Marcus T Alley
Journal:  Magn Reson Med       Date:  2007-01       Impact factor: 4.668

10.  Diffusion tensor imaging (DTI) and tractography of the brachial plexus: feasibility and initial experience in neoplastic conditions.

Authors:  Maria Isabel Vargas; Magalie Viallon; Duy Nguyen; Jacqueline Delavelle; Minerva Becker
Journal:  Neuroradiology       Date:  2010-03       Impact factor: 2.804

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