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)
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/8853087
- author
- Ahlgren, André
LU
; Knutsson, Linda
LU
; Wirestam, Ronnie
LU
; Nilsson, Markus
LU
; Ståhlberg, Freddy
LU
; Topgaard, Daniel
LU
and Lasič, Samo
- organization
-
- MultiPark: Multidisciplinary research focused on Parkinson´s disease
- Medical Radiation Physics, Lund
- MR Physics (research group)
- Multidimensional microstructure imaging (research group)
- Lund University Bioimaging Center
- Diagnostic Radiology, (Lund)
- Physical Chemistry
- eSSENCE: The e-Science Collaboration
- publishing date
- 2016-03-08
- type
- Contribution to journal
- publication status
- published
- subject
- in
- NMR in Biomedicine
- volume
- 29
- issue
- 5
- pages
- 640 - 649
- publisher
- John Wiley & Sons Inc.
- external identifiers
-
- pmid:26952166
- scopus:84960156149
- pmid:26952166
- 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
- 2016-04-04 08:33:04
- date last changed
- 2022-05-01 06:35:25
@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 Inc.}},
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}},
doi = {{10.1002/nbm.3505}},
volume = {{29}},
year = {{2016}},
}