## Abstract ## Purpose To compare absolute cerebral blood flow (CBF) estimates obtained by dynamic susceptibility contrast MRI (DSC‐MRI) and Xe‐133 SPECT. ## Materials and Methods CBF was measured in 20 healthy volunteers using DSC‐MRI at 3T and Xe‐133 SPECT. DSC‐MRI was accomplished by gradient
Absolute quantification of cerebral blood flow: correlation between dynamic susceptibility contrast MRI and model-free arterial spin labeling
✍ Scribed by Linda Knutsson; Danielle van Westen; Esben T. Petersen; Karin Markenroth Bloch; Stig Holtås; Freddy Ståhlberg; Ronnie Wirestam
- Publisher
- Elsevier Science
- Year
- 2010
- Tongue
- English
- Weight
- 611 KB
- Volume
- 28
- Category
- Article
- ISSN
- 0730-725X
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✦ Synopsis
Purpose:
To compare absolute cerebral blood flow (cbf) estimates obtained by model-free arterial spin labeling (asl) and dynamic susceptibility contrast mri (dsc-mri), corrected for partial volume effects (pves).
Methods:
Cbf was measured using dsc-mri and model-free asl (quantitative signal targeting with alternating radiofrequency labeling of arterial regions) at 3 t in 15 subjects with brain tumor, and the two modalities were compared with regard to cbf estimates in normal gray matter (gm) and dsc-to-asl cbf ratios in selected tumor regions. the dsc-mri cbf maps were calculated using a global arterial input function (aif) from the sylvian-fissure region, but, in order to minimize pves, the aif time integral was rescaled by a venous output function time integral obtained from the sagittal sinus.
Results:
In gm, the average dsc-mri cbf estimate was 150+/-45 ml/(min 100 g) (mean+/-sd) while the corresponding asl cbf was 44+/-10 ml/(min 100 g). the linear correlation between gm cbf estimates obtained by dsc-mri and asl was r=.89, and observed dsc-to-asl cbf ratios differed by less than 3% between gm and tumor regions.
Conclusions:
A satisfactory positive linear correlation between the cbf estimates obtained by model-free asl and dsc-mri was observed, and dsc-to-asl cbf ratios showed no obvious tissue dependence.
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Noninvasive absolute quantification of cerebral blood flow (CBF) with high spatial resolution is still a challenging task. Arterial spin labeling (ASL) is a promising magnetic resonance imaging (MRI) method for accurate perfusion quantification. However, modeling of ASL data is far from being standa
## Abstract An accurate determination of the arterial input function (AIF) is necessary for quantification of cerebral blood flow (CBF) using dynamic susceptibility contrast‐enhanced magnetic resonance imaging. In this study, we developed a method for obtaining the AIF automatically using fuzzy c‐m