Dynamic contrast-enhanced QSM for perfusion imaging : a systematic comparison of ΔR2*- and QSM-based contrast agent concentration time curves in blood and tissue
Lind, Emelie LU ; Knutsson, Linda LU
; Ståhlberg, Freddy
LU
and Wirestam, Ronnie
LU
(2020)
In Magnetic Resonance Materials in Physics, Biology, and Medicine
33(5).
p.663-676
- Abstract
OBJECTIVE: In dynamic susceptibility contrast MRI (DSC-MRI), an arterial input function (AIF) is required to quantify perfusion. However, estimation of the concentration of contrast agent (CA) from magnitude MRI signal data is challenging. A reasonable alternative would be to quantify CA concentration using quantitative susceptibility mapping (QSM), as the CA alters the magnetic susceptibility in proportion to its concentration.
MATERIAL AND METHODS: AIFs with reasonable appearance, selected on the basis of conventional criteria related to timing, shape, and peak concentration, were registered from both ΔR2* and QSM images and mutually compared by visual inspection. Both ΔR2*- and QSM-based AIFs were used for perfusion... (More)
OBJECTIVE: In dynamic susceptibility contrast MRI (DSC-MRI), an arterial input function (AIF) is required to quantify perfusion. However, estimation of the concentration of contrast agent (CA) from magnitude MRI signal data is challenging. A reasonable alternative would be to quantify CA concentration using quantitative susceptibility mapping (QSM), as the CA alters the magnetic susceptibility in proportion to its concentration.
MATERIAL AND METHODS: AIFs with reasonable appearance, selected on the basis of conventional criteria related to timing, shape, and peak concentration, were registered from both ΔR2* and QSM images and mutually compared by visual inspection. Both ΔR2*- and QSM-based AIFs were used for perfusion calculations based on tissue concentration data from ΔR2*as well as QSM images.
RESULTS: AIFs based on ΔR2* and QSM data showed very similar shapes and the estimated cerebral blood flow values and mean transit times were similar. Analysis of corresponding ΔR2* versus QSM-based concentration estimates yielded a transverse relaxivity estimate of 89 s-1 mM-1, for voxels identified as useful AIF candidate in ΔR2* images according to the conventional criteria.
DISCUSSION: Interestingly, arterial concentration time curves based on ΔR2* versus QSM data, for a standard DSC-MRI experiment, were generally very similar in shape, and the relaxivity obtained in voxels representing blood was similar to tissue relaxivity obtained in previous studies.
(Less)
- author
- Lind, Emelie
LU
; Knutsson, Linda
LU
; Ståhlberg, Freddy
LU
and Wirestam, Ronnie
LU
- organization
- publishing date
- 2020-10
- type
- Contribution to journal
- publication status
- published
- subject
- in
- Magnetic Resonance Materials in Physics, Biology, and Medicine
- volume
- 33
- issue
- 5
- pages
- 14 pages
- publisher
- Springer
- external identifiers
-
- scopus:85079797597
- pmid:32078074
- ISSN
- 1352-8661
- DOI
- 10.1007/s10334-020-00831-x
- project
- Optimisation and Validation of Dynamic Susceptibility Contrast MRI
- language
- English
- LU publication?
- yes
- id
- 7a392872-3ec0-4ad0-a3c1-3455e47a00b5
- date added to LUP
- 2020-02-26 11:39:57
- date last changed
- 2024-06-26 12:33:41
@article{7a392872-3ec0-4ad0-a3c1-3455e47a00b5,
abstract = {{<p>OBJECTIVE: In dynamic susceptibility contrast MRI (DSC-MRI), an arterial input function (AIF) is required to quantify perfusion. However, estimation of the concentration of contrast agent (CA) from magnitude MRI signal data is challenging. A reasonable alternative would be to quantify CA concentration using quantitative susceptibility mapping (QSM), as the CA alters the magnetic susceptibility in proportion to its concentration.</p><p>MATERIAL AND METHODS: AIFs with reasonable appearance, selected on the basis of conventional criteria related to timing, shape, and peak concentration, were registered from both ΔR2* and QSM images and mutually compared by visual inspection. Both ΔR2*- and QSM-based AIFs were used for perfusion calculations based on tissue concentration data from ΔR2*as well as QSM images.</p><p>RESULTS: AIFs based on ΔR2* and QSM data showed very similar shapes and the estimated cerebral blood flow values and mean transit times were similar. Analysis of corresponding ΔR2* versus QSM-based concentration estimates yielded a transverse relaxivity estimate of 89 s-1 mM-1, for voxels identified as useful AIF candidate in ΔR2* images according to the conventional criteria.</p><p>DISCUSSION: Interestingly, arterial concentration time curves based on ΔR2* versus QSM data, for a standard DSC-MRI experiment, were generally very similar in shape, and the relaxivity obtained in voxels representing blood was similar to tissue relaxivity obtained in previous studies.</p>}},
author = {{Lind, Emelie and Knutsson, Linda and Ståhlberg, Freddy and Wirestam, Ronnie}},
issn = {{1352-8661}},
language = {{eng}},
number = {{5}},
pages = {{663--676}},
publisher = {{Springer}},
series = {{Magnetic Resonance Materials in Physics, Biology, and Medicine}},
title = {{Dynamic contrast-enhanced QSM for perfusion imaging : a systematic comparison of ΔR2*- and QSM-based contrast agent concentration time curves in blood and tissue}},
url = {{http://dx.doi.org/10.1007/s10334-020-00831-x}},
doi = {{10.1007/s10334-020-00831-x}},
volume = {{33}},
year = {{2020}},
}