» Articles » PMID: 29224052

Arterial Input Function in a Dedicated Slice for Cerebral Perfusion Measurements in Humans

Overview
Journal MAGMA
Publisher Springer
Date 2017 Dec 11
PMID 29224052
Citations 2
Authors
Affiliations
Soon will be listed here.
Abstract

Object: We aimed to modify our previously published method for arterial input function measurements for evaluation of cerebral perfusion (dynamic susceptibility contrast MRI) such that it can be applied in humans in a clinical setting.

Materials And Methods: Similarly to our previous work, a conventional measurement sequence for dynamic susceptibility contrast MRI is extended with an additional measurement slice at the neck. Measurement parameters at this slice were optimized for the blood signal (short echo time, background suppression, magnitude and phase images). Phase-based evaluation of the signal in the carotid arteries is used to obtain quantitative arterial input functions.

Results: In all pilot measurements, quantitative arterial input functions were obtained. The resulting absolute perfusion parameters agree well with literature values (gray and white matter mean values of 46 and 24 mL/100 g/min, respectively, for cerebral blood flow and 3.0% and 1.6%, respectively, for cerebral blood volume).

Conclusions: The proposed method has the potential to quantify arterial input functions in the carotid arteries from a direct measurement without any additional normalization.

Citing Articles

DSC MRI in the human brain using deoxyhemoglobin and gadolinium-Simulations and validations at 3T.

Schulman J, Sayin E, Manalac A, Poublanc J, Sobczyk O, Duffin J Front Neuroimaging. 2023; 2:1048652.

PMID: 37554650 PMC: 10406263. DOI: 10.3389/fnimg.2023.1048652.


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 E, Knutsson L, Stahlberg F, Wirestam R MAGMA. 2020; 33(5):663-676.

PMID: 32078074 PMC: 7502058. DOI: 10.1007/s10334-020-00831-x.

References
1.
Shin W, Horowitz S, Ragin A, Chen Y, Walker M, Carroll T . Quantitative cerebral perfusion using dynamic susceptibility contrast MRI: evaluation of reproducibility and age- and gender-dependence with fully automatic image postprocessing algorithm. Magn Reson Med. 2007; 58(6):1232-41. DOI: 10.1002/mrm.21420. View

2.
Ito H, Kanno I, Kato C, Sasaki T, Ishii K, Ouchi Y . Database of normal human cerebral blood flow, cerebral blood volume, cerebral oxygen extraction fraction and cerebral metabolic rate of oxygen measured by positron emission tomography with 15O-labelled carbon dioxide or water, carbon monoxide and.... Eur J Nucl Med Mol Imaging. 2004; 31(5):635-43. DOI: 10.1007/s00259-003-1430-8. View

3.
Calamante F, Morup M, Hansen L . Defining a local arterial input function for perfusion MRI using independent component analysis. Magn Reson Med. 2004; 52(4):789-97. DOI: 10.1002/mrm.20227. View

4.
Sakaie K, Shin W, Curtin K, McCarthy R, Cashen T, Carroll T . Method for improving the accuracy of quantitative cerebral perfusion imaging. J Magn Reson Imaging. 2005; 21(5):512-9. DOI: 10.1002/jmri.20305. View

5.
Ostergaard L, Weisskoff R, Chesler D, Gyldensted C, Rosen B . High resolution measurement of cerebral blood flow using intravascular tracer bolus passages. Part I: Mathematical approach and statistical analysis. Magn Reson Med. 1996; 36(5):715-25. DOI: 10.1002/mrm.1910360510. View