Flow-based arterial spin labeling is a set of techniques used for non-contrast enhanced perfusion imaging. This work describes technical development done for application in body.
Petitclerc, L.; Hirschler, L.; Wells, J.A.; Thomas, D.L.; Walderveen, M.A.A. van; Buchem, M.A. van; Osch, M.J.P. van 2021
The study of brain clearance mechanisms is an active area of research. While we know that the cerebrospinal fluid (CSF) plays a central role in one of the main existing clearance pathways, the... Show moreThe study of brain clearance mechanisms is an active area of research. While we know that the cerebrospinal fluid (CSF) plays a central role in one of the main existing clearance pathways, the exact processes for the secretion of CSF and the removal of waste products from tissue are under debate. CSF is thought to be created by the exchange of water and ions from the blood, which is believed to mainly occur in the choroid plexus. This exchange has not been thoroughly studied in vivo.We propose a modified arterial spin labeling (ASL) MRI sequence and image analysis to track blood water as it is transported to the CSF, and to characterize its exchange from blood to CSF. We acquired six pseudo-continuous ASL sequences with varying labeling duration (LD) and post-labeling delay (PLD) and a segmented 3D-GRASE readout with a long echo train (8 echo times (TE)) which allowed separation of the very long-T-2 CSF signal. ASL signal was observed at long TEs (793 ms and higher), indicating presence of labeled water transported from blood to CSF. This signal appeared both in the CSF proximal to the choroid plexus and in the subarachnoid space surrounding the cortex. ASL signal was separated into its blood, gray matter and CSF components by fitting a triexponential function with T(2)s taken from literature. A two-compartment dynamic model was introduced to describe the exchange of water through time and TE. From this, a water exchange time from the blood to the CSF (Tbl->CSF) was mapped, with an order of magnitude of approximately 60 s. Show less
Chappell, M.A.; McConnell, F.A.K.; Golay, X.; Gunther, M.; Hernandez-Tamames, J.A.; Osch, M.J. van; Asllani, I. 2021
The mismatch in the spatial resolution of Arterial Spin Labeling (ASL) MRI perfusion images and the anatomy of functionally distinct tissues in the brain leads to a partial volume effect (PVE),... Show moreThe mismatch in the spatial resolution of Arterial Spin Labeling (ASL) MRI perfusion images and the anatomy of functionally distinct tissues in the brain leads to a partial volume effect (PVE), which in turn confounds the estimation of perfusion into a specific tissue of interest such as gray or white matter. This confound occurs because the image voxels contain a mixture of tissues with disparate perfusion properties, leading to estimated perfusion values that reflect primarily the volume proportions of tissues in the voxel rather than the perfusion of any particular tissue of interest within that volume. It is already recognized that PVE influences studies of brain perfusion, and that its effect might be even more evident in studies where changes in perfusion are co-incident with alterations in brain structure, such as studies involving a comparison between an atrophic patient population vs control subjects, or studies comparing subjects over a wide range of ages. However, the application of PVE correction (PVEc) is currently limited and the employed methodologies remain inconsistent. In this article, we outline the influence of PVE in ASL measurements of perfusion, explain the main principles of PVEc, and provide a critique of the current state of the art for the use of such methods. Furthermore, we examine the current use of PVEc in perfusion studies and whether there is evidence to support its wider adoption. We conclude that there is sound theoretical motivation for the use of PVEc alongside conventional, 'uncorrected', images, and encourage such combined reporting. Methods for PVEc are now available within standard neuroimaging toolboxes, which makes our recommendation straightforward to implement. However, there is still more work to be done to establish the value of PVEc as well as the efficacy and robustness of existing PVEc methods. Show less
Arterial spin labeling (ASL) has undergone significant development since its inception, with a focus on improving standardization and reproducibility of its acquisition and quantification. In a... Show moreArterial spin labeling (ASL) has undergone significant development since its inception, with a focus on improving standardization and reproducibility of its acquisition and quantification. In a community-wide effort towards robust and reproducible clinical ASL image processing, we developed the software package ExploreASL, allowing standardized analyses across centers and scanners.The procedures used in ExploreASL capitalize on published image processing advancements and address the challenges of multi-center datasets with scanner-specific processing and artifact reduction to limit patient exclusion. ExploreASL is self-contained, written in MATLAB and based on Statistical Parameter Mapping (SPM) and runs on multiple operating systems. To facilitate collaboration and data-exchange, the toolbox follows several standards and recommendations for data structure, provenance, and best analysis practice.ExploreASL was iteratively refined and tested in the analysis of >10,000 ASL scans using different pulse-sequences in a variety of clinical populations, resulting in four processing modules: Import, Structural, ASL, and Population that perform tasks, respectively, for data curation, structural and ASL image processing and quality control, and finally preparing the results for statistical analyses on both single-subject and group level. We illustrate ExploreASL processing results from three cohorts: perinatally HIV-infected children, healthy adults, and elderly at risk for neurodegenerative disease. We show the reproducibility for each cohort when processed at different centers with different operating systems and MATLAB versions, and its effects on the quantification of gray matter cerebral blood flow.ExploreASL facilitates the standardization of image processing and quality control, allowing the pooling of cohorts which may increase statistical power and discover between-group perfusion differences. Ultimately, this workflow may advance ASL for wider adoption in clinical studies, trials, and practice. Show less
For many cerebrovascular diseases, visualization of blood flow through the large vasculature, as well as quantitative information on tissue perfusion, is very important. Arterial Spin labelling ... Show moreFor many cerebrovascular diseases, visualization of blood flow through the large vasculature, as well as quantitative information on tissue perfusion, is very important. Arterial Spin labelling (ASL) magnetic resonance (MR) imaging enables the visualization of arterial flow by labelling the magnetization of arterial blood using radiofrequency pulses. The labelled arterial blood acts as an endogenous tracer and allows, which can avoid the reliance on the use of contrast agents. In this doctoral thesis, several new techniques for dynamic MR angiography and perfusion imaging were developed based on ASL techniques, which include pulsed ASL, pseudo-continuous ASL (pCASL), vessel-encoded pCASL, time-encoded pCASL as well as simultaneous multi-slice pCASL. The underlying motivation of these development is to reduce the burden on patients by employing non-invasive ASL techniques as potential alternatives to X-ray digital subtraction angiography, contrast-enhanced MR angiography and perfusion imaging. In each study, the optimum ASL techniques was carefully chosen by considering the pros and cons of the technique to achieve better clinical usability, while improving robustness against potential artifacts. Show less
Clement, P.; Mutsaerts, H.J.; Vaclavu, L.; Ghariq, E.; Pizzini, F.B.; Smits, M.; ... ; Achten, E. 2018
The primary aim of the project “Go with the flow: the heart-brain axis” was to elucidate the interaction between heart and the brain, across the lifespan. This was done by integration of... Show moreThe primary aim of the project “Go with the flow: the heart-brain axis” was to elucidate the interaction between heart and the brain, across the lifespan. This was done by integration of physiological concepts into the MRI-environment and by monitoring brain perfusion at both the macrovascular level (using transcranial Doppler; TCD) and the tissue level (using arterial spin labeling MRI; ASL). This thesis focused on the comparison and validation of these two modalities used in this project. We found that high levels of end-tidal CO2, blood pressure and handgrip all influence the middle cerebral artery (MCA) diameter, challenging the long-held assumption of diameter constancy. Furthermore, we found that during rhythmic handgrip the flow velocity (TCD) increased, whereas no change in the MCA flow territory (ASL) could be observed. Therefore, whole-brain CBF-measurements by ASL do not support the claim that a change in flow velocity measured by TCD can be used as a proxy for regional CBF during rhythmic handgrip exercise. Finally, we found in simulations and in-vivo experiments only modest influence of the cardiac cycle on the end-of-labeling. Therefore, cardiac triggering at the start or the end of labeling has little benefit to pseudo-Continuous ASL signal stability. Show less
In this thesis I have described the introduction and validation of a new spatially non-selective arterial spin labeling (SNS-ASL) method in healthy subjects. Acceleration selective ASL (AccASL... Show moreIn this thesis I have described the introduction and validation of a new spatially non-selective arterial spin labeling (SNS-ASL) method in healthy subjects. Acceleration selective ASL (AccASL) was compared with pseudo continuous ASL (pCASL), a traditional ASL method, as well as other spatially non-selective ASL methods (velocity selective ASL, as introduced by Wong et al with two velocity-selective blocks, and using only a single labeling module), and with [15O]-H2O PET as the gold standard for brain perfusion imaging. By combining an AccASL with VSASL labeling module, the location of label origin in the vascular tree was assessed. Furthermore, time-encoded pCASL was explored in combination with SNS-ASL labeling modules to obtain insight into labeling at multiple post labeling delays (PLD). Finally, te-pCASL was combined with T2-Relaxation-under-Spin-Tagging (TRUST) to provide a time efficient method to distinguish spin compartments based on their T2-values. Show less
Dopper, E.G.P.; Chalos, V.; Ghariq, E.; Heijer, T. den; Hafkemeijer, A.; Jiskoot, L.C.; ... ; Swieten, J.C. van 2016
