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Quantification of microcirculatory parameters by joint analysis of flow-compensated and non-flow-compensated intravoxel incoherent motion (IVIM) data.

Ahlgren, André LU ; Knutsson, Linda LU ; Wirestam, Ronnie LU ; Nilsson, Markus LU ; Ståhlberg, Freddy LU ; Topgaard, Daniel LU and Lasič, Samo (2016) In NMR in Biomedicine 29(5). p.640-649
Abstract
The aim of this study was to improve the accuracy and precision of perfusion fraction and blood velocity dispersion estimates in intravoxel incoherent motion (IVIM) imaging, using joint analysis of flow-compensated and non-flow-compensated motion-encoded MRI data. A double diffusion encoding sequence capable of switching between flow-compensated and non-flow-compensated encoding modes was implemented. In vivo brain data were collected in eight healthy volunteers and processed using the joint analysis. Simulations were used to compare the performance of the proposed analysis method with conventional IVIM analysis. With flow compensation, strong rephasing was observed for the in vivo data, approximately cancelling the IVIM effect. The joint... (More)
The aim of this study was to improve the accuracy and precision of perfusion fraction and blood velocity dispersion estimates in intravoxel incoherent motion (IVIM) imaging, using joint analysis of flow-compensated and non-flow-compensated motion-encoded MRI data. A double diffusion encoding sequence capable of switching between flow-compensated and non-flow-compensated encoding modes was implemented. In vivo brain data were collected in eight healthy volunteers and processed using the joint analysis. Simulations were used to compare the performance of the proposed analysis method with conventional IVIM analysis. With flow compensation, strong rephasing was observed for the in vivo data, approximately cancelling the IVIM effect. The joint analysis yielded physiologically reasonable perfusion fraction maps. Estimated perfusion fractions were 2.43 ± 0.81% in gray matter, 1.81 ± 0.90% in deep gray matter, and 1.64 ± 0.72% in white matter (mean ± SD, n = 8). Simulations showed improved accuracy and precision when using joint analysis of flow-compensated and non-flow-compensated data, compared with conventional IVIM analysis. Double diffusion encoding with flow compensation was feasible for in vivo imaging of the perfusion fraction in the brain. The strong rephasing implied that blood flowing through the cerebral microvascular system was closer to the ballistic limit than the diffusive limit. © 2016 The Authors NMR in Biomedicine published by John Wiley & Sons Ltd. (Less)
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author
organization
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type
Contribution to journal
publication status
published
subject
in
NMR in Biomedicine
volume
29
issue
5
pages
640 - 649
publisher
John Wiley & Sons
external identifiers
  • pmid:26952166
  • scopus:84960156149
  • wos:000374495900012
ISSN
0952-3480
DOI
10.1002/nbm.3505
language
English
LU publication?
yes
id
8379d403-1eeb-45f4-aace-0b31e70679e5 (old id 8853087)
alternative location
http://www.ncbi.nlm.nih.gov/pubmed/26952166?dopt=Abstract
date added to LUP
2016-03-15 13:50:25
date last changed
2017-10-29 04:29:47
@article{8379d403-1eeb-45f4-aace-0b31e70679e5,
  abstract     = {The aim of this study was to improve the accuracy and precision of perfusion fraction and blood velocity dispersion estimates in intravoxel incoherent motion (IVIM) imaging, using joint analysis of flow-compensated and non-flow-compensated motion-encoded MRI data. A double diffusion encoding sequence capable of switching between flow-compensated and non-flow-compensated encoding modes was implemented. In vivo brain data were collected in eight healthy volunteers and processed using the joint analysis. Simulations were used to compare the performance of the proposed analysis method with conventional IVIM analysis. With flow compensation, strong rephasing was observed for the in vivo data, approximately cancelling the IVIM effect. The joint analysis yielded physiologically reasonable perfusion fraction maps. Estimated perfusion fractions were 2.43 ± 0.81% in gray matter, 1.81 ± 0.90% in deep gray matter, and 1.64 ± 0.72% in white matter (mean ± SD, n = 8). Simulations showed improved accuracy and precision when using joint analysis of flow-compensated and non-flow-compensated data, compared with conventional IVIM analysis. Double diffusion encoding with flow compensation was feasible for in vivo imaging of the perfusion fraction in the brain. The strong rephasing implied that blood flowing through the cerebral microvascular system was closer to the ballistic limit than the diffusive limit. © 2016 The Authors NMR in Biomedicine published by John Wiley & Sons Ltd.},
  author       = {Ahlgren, André and Knutsson, Linda and Wirestam, Ronnie and Nilsson, Markus and Ståhlberg, Freddy and Topgaard, Daniel and Lasič, Samo},
  issn         = {0952-3480},
  language     = {eng},
  month        = {03},
  number       = {5},
  pages        = {640--649},
  publisher    = {John Wiley & Sons},
  series       = {NMR in Biomedicine},
  title        = {Quantification of microcirculatory parameters by joint analysis of flow-compensated and non-flow-compensated intravoxel incoherent motion (IVIM) data.},
  url          = {http://dx.doi.org/10.1002/nbm.3505},
  volume       = {29},
  year         = {2016},
}