Literature DB >> 28073068

Comparative analysis of isotropic diffusion weighted imaging sequences.

Sebastian Vellmer1, Rüdiger Stirnberg2, Daniel Edelhoff3, Dieter Suter3, Tony Stöcker4, Ivan I Maximov5.   

Abstract

Visualisation of living tissue structure and function is a challenging problem of modern imaging techniques. Diffusion MRI allows one to probe in vivo structures on a micrometer scale. However, conventional diffusion measurements are time-consuming procedures, because they require several measurements with different gradient directions. Considerable time savings are therefore possible by measurement schemes that generate an isotropic diffusion weighting in a single shot. Multiple approaches for generating isotropic diffusion weighting are known and have become very popular as useful tools in clinical research. Thus, there is a strong need for a comprehensive comparison of different isotropic weighting approaches. In the present work we introduce two new sequences based on simple (co)sine modulations and compare their performance to established q-space magic-angle spinning sequences and conventional DTI, using a diffusion phantom assembled from microcapillaries and in vivo experiments at 7T. The advantages and disadvantages of all compared schemes are demonstrated and discussed.
Copyright © 2016 Elsevier Inc. All rights reserved.

Keywords:  Diffusion MRI; Diffusion sequences; Isotropic diffusion weightings; Microcapillary phantom

Year:  2016        PMID: 28073068     DOI: 10.1016/j.jmr.2016.12.011

Source DB:  PubMed          Journal:  J Magn Reson        ISSN: 1090-7807            Impact factor:   2.229


  2 in total

1.  Towards an optimised processing pipeline for diffusion magnetic resonance imaging data: Effects of artefact corrections on diffusion metrics and their age associations in UK Biobank.

Authors:  Ivan I Maximov; Dag Alnaes; Lars T Westlye
Journal:  Hum Brain Mapp       Date:  2019-06-07       Impact factor: 5.038

2.  Feasibility of generalised diffusion kurtosis imaging approach for brain glioma grading.

Authors:  E L Pogosbekian; I N Pronin; N E Zakharova; A I Batalov; A M Turkin; T A Konakova; I I Maximov
Journal:  Neuroradiology       Date:  2021-01-07       Impact factor: 2.804

  2 in total

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