Literature DB >> 30711786

Effects of nongaussian diffusion on "isotropic diffusion" measurements: An ex-vivo microimaging and simulation study.

Sune Nørhøj Jespersen1, Jonas Lynge Olesen2, Andrada Ianuş3, Noam Shemesh4.   

Abstract

Designing novel diffusion-weighted pulse sequences to probe tissue microstructure beyond the conventional Stejskal-Tanner family is currently of broad interest. One such technique, multidimensional diffusion MRI, has been recently proposed to afford model-free decomposition of diffusion signal kurtosis into terms originating from either ensemble variance of isotropic diffusivity or microscopic diffusion anisotropy. This ability rests on the assumption that diffusion can be described as a sum of multiple Gaussian compartments, but this is often not strictly fulfilled. The effects of nongaussian diffusion on single shot isotropic diffusion sequences were first considered in detail by de Swiet and Mitra in 1996. They showed theoretically that anisotropic compartments lead to anisotropic time dependence of the diffusion tensors, which causes the measured isotropic diffusivity to depend on gradient frame orientation. Here we show how such deviations from the multiple Gaussian compartments assumption conflates orientation dispersion with ensemble variance in isotropic diffusivity. Second, we consider additional contributions to the apparent variance in isotropic diffusivity arising due to intracompartmental kurtosis. These will likewise depend on gradient frame orientation. We illustrate the potential importance of these confounds with analytical expressions, numerical simulations in simple model geometries, and microimaging experiments in fixed spinal cord using isotropic diffusion encoding waveforms with 7.5 ms duration and 3000 mT/m maximum amplitude.
Copyright © 2019 Elsevier Inc. All rights reserved.

Keywords:  Diffusion; Dispersion; Kurtosis; Time-dependence; qMAS

Year:  2019        PMID: 30711786     DOI: 10.1016/j.jmr.2019.01.007

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


  17 in total

1.  Probing tissue microstructure by diffusion skewness tensor imaging.

Authors:  Lipeng Ning; Filip Szczepankiewicz; Markus Nilsson; Yogesh Rathi; Carl-Fredrik Westin
Journal:  Sci Rep       Date:  2021-01-08       Impact factor: 4.379

2.  Maxwell-compensated design of asymmetric gradient waveforms for tensor-valued diffusion encoding.

Authors:  Filip Szczepankiewicz; Carl-Fredrik Westin; Markus Nilsson
Journal:  Magn Reson Med       Date:  2019-05-31       Impact factor: 4.668

3.  Glioma grading, molecular feature classification, and microstructural characterization using MR diffusional variance decomposition (DIVIDE) imaging.

Authors:  Sirui Li; Yuan Zheng; Wenbo Sun; Samo Lasič; Filip Szczepankiewicz; Qing Wei; Shihong Han; Shuheng Zhang; Xiaoli Zhong; Liang Wang; Huan Li; Yuxiang Cai; Dan Xu; Zhiqiang Li; Qiang He; Danielle van Westen; Karin Bryskhe; Daniel Topgaard; Haibo Xu
Journal:  Eur Radiol       Date:  2021-04-29       Impact factor: 5.315

4.  Nonparametric 5D D-R2 distribution imaging with single-shot EPI at 21.1 T: Initial results for in vivo rat brain.

Authors:  Jens T Rosenberg; Samuel C Grant; Daniel Topgaard
Journal:  J Magn Reson       Date:  2022-06-15       Impact factor: 2.734

Review 5.  Connectome 2.0: Developing the next-generation ultra-high gradient strength human MRI scanner for bridging studies of the micro-, meso- and macro-connectome.

Authors:  Susie Y Huang; Thomas Witzel; Boris Keil; Alina Scholz; Mathias Davids; Peter Dietz; Elmar Rummert; Rebecca Ramb; John E Kirsch; Anastasia Yendiki; Qiuyun Fan; Qiyuan Tian; Gabriel Ramos-Llordén; Hong-Hsi Lee; Aapo Nummenmaa; Berkin Bilgic; Kawin Setsompop; Fuyixue Wang; Alexandru V Avram; Michal Komlosh; Dan Benjamini; Kulam Najmudeen Magdoom; Sudhir Pathak; Walter Schneider; Dmitry S Novikov; Els Fieremans; Slimane Tounekti; Choukri Mekkaoui; Jean Augustinack; Daniel Berger; Alexander Shapson-Coe; Jeff Lichtman; Peter J Basser; Lawrence L Wald; Bruce R Rosen
Journal:  Neuroimage       Date:  2021-08-28       Impact factor: 7.400

6.  Towards unconstrained compartment modeling in white matter using diffusion-relaxation MRI with tensor-valued diffusion encoding.

Authors:  Björn Lampinen; Filip Szczepankiewicz; Johan Mårtensson; Danielle van Westen; Oskar Hansson; Carl-Fredrik Westin; Markus Nilsson
Journal:  Magn Reson Med       Date:  2020-03-06       Impact factor: 4.668

7.  Tensor-valued diffusion encoding for diffusional variance decomposition (DIVIDE): Technical feasibility in clinical MRI systems.

Authors:  Filip Szczepankiewicz; Jens Sjölund; Freddy Ståhlberg; Jimmy Lätt; Markus Nilsson
Journal:  PLoS One       Date:  2019-03-28       Impact factor: 3.240

8.  Linear, planar and spherical tensor-valued diffusion MRI data by free waveform encoding in healthy brain, water, oil and liquid crystals.

Authors:  Filip Szczepankiewicz; Scott Hoge; Carl-Fredrik Westin
Journal:  Data Brief       Date:  2019-07-02

9.  Improved fibre dispersion estimation using b-tensor encoding.

Authors:  Michiel Cottaar; Filip Szczepankiewicz; Matteo Bastiani; Moises Hernandez-Fernandez; Stamatios N Sotiropoulos; Markus Nilsson; Saad Jbabdi
Journal:  Neuroimage       Date:  2020-04-10       Impact factor: 6.556

10.  A Pilot Study of Multidimensional Diffusion MRI for Assessment of Tissue Heterogeneity in Prostate Cancer.

Authors:  Björn J Langbein; Filip Szczepankiewicz; Carl-Fredrik Westin; Camden Bay; Stephan E Maier; Adam S Kibel; Clare M Tempany; Fiona M Fennessy
Journal:  Invest Radiol       Date:  2021-12-01       Impact factor: 6.016

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