Validation of the estimation of the macrovascular contribution in multi‐timepoint arterial spin labeling MRI using a 2‐component kinetic model

Plas, Merlijn C. E.; Craig, Martin; Schmid, Sophie; Chappell, Michael A.; Osch, Matthias J. P.

Abstract

Purpose
In this paper, the ability to quantify cerebral blood flow by arterial spin labeling (ASL) was studied by investigating the separation of the macrovascular and tissue component using a 2-component model. Underlying assumptions of this model, especially the inclusion of dispersion in the analysis, were studied, as well as the temporal resolution of the ASL datasets.

Methods
Four different datasets were acquired: (1) 4D ASL angiography to characterize the macrovascular component and to study dispersion modeling within this component, (2) high temporal resolution ASL data to investigate the separation of the 2 components and the effect of dispersion modelling on this separation, (3) low temporal resolution ASL dataset to study the effect of the temporal resolution on the separation of the 2 components, and (4) low temporal resolution ASL data with vascular crushing.

Results
The model that included a gamma dispersion kernel had the best fit to the 4D ASL angiography. For the high temporal resolution ASL dataset, inclusion of the gamma dispersion kernel led to more signal included in the arterial blood volume map, which resulted in decreased cerebral blood flow values. The arterial blood volume and cerebral blood flow maps showed overall higher arterial blood volume values and lower cerebral blood flow values for the high temporal resolution dataset compared to the low temporal resolution dataset.

Conclusion
Inclusion of a gamma dispersion kernel resulted in better fitting of the model to the data. The separation of the macrovascular and tissue component is affected by the inclusion of a gamma dispersion kernel and the temporal resolution of the ASL dataset.

Citation

Plas, M. C. E., Craig, M., Schmid, S., Chappell, M. A., & Osch, M. J. P. (2022). Validation of the estimation of the macrovascular contribution in multi‐timepoint arterial spin labeling MRI using a 2‐component kinetic model. Magnetic Resonance in Medicine, 87(1), 85-101. https://doi.org/10.1002/mrm.28960

• Journal Article Type: Article
• Acceptance Date: Jul 20, 2021
• Online Publication Date: Aug 13, 2021
• Publication Date: 2022-01
• Deposit Date: Aug 31, 2021
• Publicly Available Date: Sep 9, 2021
• Journal: Magnetic Resonance in Medicine
• Print ISSN: 0740-3194
• Electronic ISSN: 1522-2594
• Publisher: Wiley
• Peer Reviewed: Peer Reviewed
• Volume: 87
• Issue: 1
• Pages: 85-101
• DOI: https://doi.org/10.1002/mrm.28960
• Public URL: https://nottingham-repository.worktribe.com/output/6137130
• Publisher URL: https://onlinelibrary.wiley.com/doi/10.1002/mrm.28960