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Effects of blood ΔR(2)* non-linearity on absolute perfusion quantification using DSC-MRI: Comparison with Xe-133 SPECT.

Knutsson, Linda LU orcid ; Ståhlberg, Freddy LU ; Wirestam, Ronnie LU orcid and van Osch, Matthias J (2013) In Magnetic Resonance Imaging 31(5). p.651-655
Abstract
PURPOSE: To evaluate whether a non-linear blood ΔR(2)*-versus-concentration relationship improves quantitative cerebral blood flow (CBF) estimates obtained by dynamic susceptibility contrast (DSC) MRI in a comparison with Xe-133 SPECT CBF in healthy volunteers. MATERIAL AND METHODS: Linear as well as non-linear relationships between ΔR(2)* and contrast agent concentration in blood were applied to the arterial input function (AIF) and the venous output function (VOF) from DSC-MRI. To reduce partial volume effects in the AIF, the arterial time integral was rescaled using a corrected VOF scheme. RESULTS: Under the assumption of proportionality between the two modalities, the relationship CBF(MRI)=0.58CBF(SPECT) (r=0.64) was observed using the... (More)
PURPOSE: To evaluate whether a non-linear blood ΔR(2)*-versus-concentration relationship improves quantitative cerebral blood flow (CBF) estimates obtained by dynamic susceptibility contrast (DSC) MRI in a comparison with Xe-133 SPECT CBF in healthy volunteers. MATERIAL AND METHODS: Linear as well as non-linear relationships between ΔR(2)* and contrast agent concentration in blood were applied to the arterial input function (AIF) and the venous output function (VOF) from DSC-MRI. To reduce partial volume effects in the AIF, the arterial time integral was rescaled using a corrected VOF scheme. RESULTS: Under the assumption of proportionality between the two modalities, the relationship CBF(MRI)=0.58CBF(SPECT) (r=0.64) was observed using the linear relationship and CBF(MRI)=0.51CBF(SPECT) (r=0.71) using the non-linear relationship. DISCUSSION: A smaller ratio of the VOF time integral to the AIF time integral and a somewhat better correlation between global DSC-MRI and Xe-133 SPECT CBF estimates were observed using the non-linear relationship. The results did not, however, confirm the superiority of one model over the other, potentially because realistic AIF signal data may well originate from a combination of blood and surrounding tissue. (Less)
Please use this url to cite or link to this publication:
author
; ; and
organization
publishing date
type
Contribution to journal
publication status
published
subject
in
Magnetic Resonance Imaging
volume
31
issue
5
pages
651 - 655
publisher
Elsevier
external identifiers
  • wos:000319103000003
  • pmid:23375837
  • scopus:84877113126
  • pmid:23375837
ISSN
1873-5894
DOI
10.1016/j.mri.2012.12.001
project
Optimisation and Validation of Dynamic Susceptibility Contrast MRI
language
English
LU publication?
yes
id
c5a3bc5c-cb3a-4eaf-9f23-34fd5c2af5f5 (old id 3560246)
alternative location
http://www.ncbi.nlm.nih.gov/pubmed/23375837?dopt=Abstract
date added to LUP
2016-04-01 11:11:04
date last changed
2022-01-26 06:01:47
@article{c5a3bc5c-cb3a-4eaf-9f23-34fd5c2af5f5,
  abstract     = {{PURPOSE: To evaluate whether a non-linear blood ΔR(2)*-versus-concentration relationship improves quantitative cerebral blood flow (CBF) estimates obtained by dynamic susceptibility contrast (DSC) MRI in a comparison with Xe-133 SPECT CBF in healthy volunteers. MATERIAL AND METHODS: Linear as well as non-linear relationships between ΔR(2)* and contrast agent concentration in blood were applied to the arterial input function (AIF) and the venous output function (VOF) from DSC-MRI. To reduce partial volume effects in the AIF, the arterial time integral was rescaled using a corrected VOF scheme. RESULTS: Under the assumption of proportionality between the two modalities, the relationship CBF(MRI)=0.58CBF(SPECT) (r=0.64) was observed using the linear relationship and CBF(MRI)=0.51CBF(SPECT) (r=0.71) using the non-linear relationship. DISCUSSION: A smaller ratio of the VOF time integral to the AIF time integral and a somewhat better correlation between global DSC-MRI and Xe-133 SPECT CBF estimates were observed using the non-linear relationship. The results did not, however, confirm the superiority of one model over the other, potentially because realistic AIF signal data may well originate from a combination of blood and surrounding tissue.}},
  author       = {{Knutsson, Linda and Ståhlberg, Freddy and Wirestam, Ronnie and van Osch, Matthias J}},
  issn         = {{1873-5894}},
  language     = {{eng}},
  number       = {{5}},
  pages        = {{651--655}},
  publisher    = {{Elsevier}},
  series       = {{Magnetic Resonance Imaging}},
  title        = {{Effects of blood ΔR(2)* non-linearity on absolute perfusion quantification using DSC-MRI: Comparison with Xe-133 SPECT.}},
  url          = {{https://lup.lub.lu.se/search/files/2450125/3632135.pdf}},
  doi          = {{10.1016/j.mri.2012.12.001}},
  volume       = {{31}},
  year         = {{2013}},
}