ASL: Advances
Lirong Yan1

1USC, United States

Synopsis

Multiple physiological parameters other than CBF can be derived from ASL signal when the magnetically labeled blood passes through arterial trees and freely diffuses across the blood-brain barrier in capillaries, such as dynamic MR angiography, arterial cerebral blood volume (aCBV), vascular compliance (VC), and water permeability. This lecture will cover these recently developed advanced ASL techniques.

Introduction

Arterial spin labeling (ASL) is commonly recognized as a non-invasive MRI technique for cerebral blood flow (CBF) measurement1, 2. In ASL, the magnetically labeled blood is adopted as endogenous tracers that pass through intracranial arterial trees into capillaries and freely diffuse to tissue across the blood-brain barrier. Multiple physiological parameters beyond CBF can be derived from ASL signal during this passage, which provides additional information to study the pathophysiological process of neurovascular and neurodegenerative diseases. Based on this, a number of advanced ASL techniques have been developed over the past decade. In the lecture, I will introduce recent work on the advanced ASL topics from macrovascular to microvascular levels.

Non-contrast enhanced MR angiography

Detailed characterization of dynamic flow patterns plays an important role in the diagnosis and treatment of various cerebrovascular disorders, e.g. arteriovenous malformation, steno-occlusion, and aneurysm. Currently, diagnosis mainly relies on digital subtraction angiography and/or CT angiography, both of which are invasive with ionizing radiation. Different from ASL perfusion imaging, MR angiography can be obtained with a short post-labeling delay when the labeled blood is mainly within vessels. Various labeling strategies have been successfully applied in MRA, including pCASL3, 4, PASL5-9, vessel-encoded ASL10-12, and velocity-selective ASL. Furthermore, 4-dimensional dynamic MRA with high spatiotemporal resolution can be achieved by combing PASL with segmented cine readout6, 9. Accelerated acquisitions, as well as advanced image reconstructions including k-space weighted image contrast (KWIC)13, 14 and magnitude-subtraction compressed sensing (MS-CS)15, have been further developed to facilitate its clinical utilities by significantly shortening the scan time while preserving image quality.

Arterial cerebral blood volume and vascular compliance

Arterial cerebral blood volume (aCBV) is another important hemodynamic parameter directly related to vascular autoregulation. In principle, aCBV can be assessable with multi-delay ASL when the labeled blood spins as endogenous tracers pass through arteries16-18. aCBV can be derived from multi-delay ASL with two-compartment model during the CBF calculation19. A fast dynamic ASL technique by combing pulsed ASL with cine bSSFP readout was proposed for aCBV measurement20. Similar to DSC MRI, the labeled blood behaviors as intravascular contrast agent by taking advantage of the phenomenon that the longitudinal magnetization of flowing blood is not or only marginally disturbed by the bSSFP pulse train. Without multi-delay, aCBV can be determined using pCASL when the labeling duration and repetition time are carefully adjusted based on the vascular transit time in a way that the tissue signals are identical in control and label acquisitions while arterial blood signal reaches maximum in the label acquisition and zero in the control21. Other ASL modules such as non-spatial selective ASL22, 23 have been also introduced for aCBV mapping.

Vascular compliance is an important vascular risk factor or marker, which is difficult to be directly detected in brain. By synchronizing ASL with systolic and diastolic phases using dynamic ASL technique24, 25, aCBV can be acquired at systole and diastole, respectively. Intracranial vascular compliance can be subsequently calculated as the ratio of aCBV change to the blood pressure change over a cardiac cycle.

Water permeability or water exchange rate

The blood brain barrier (BBB) plays a critical role in maintaining homeostasis in the brain. The BBB impairment is linked to a number of cerebral nervous system diseases. Existing methods to assess BBB permeability include PET, CT, and DCE-MRI26, all of which require exogenous contrast agents. Recently, several ASL techniques27-29 have been developed to assess BBB function through measuring the water exchange across BBB. 3D ASL combined with a diffusion preparation module can measure water exchange by calculating ASL fractions in the intra- and extravascular compartments30. On the other hand, making use of the intrinsic diffusion weighting in 3D-gradient and spin-echo (GRASE) sequence, an ASL technique termed intrinsic diffusivity encoding of arterial labeled spins (IDEALS) has been introduced without additional diffusion preparation31. “Water exchange time” can be also used as a surrogate measure of BBB permeability, which is measured using multi-echo ASL32. All the techniques above provide 3D whole brain water permeability measurement. A global assessment by targeting venous ASL signal in superior sagittal sinus has also been proposed by measuring permeability-surface-area product with a phase-contrast velocity-encoded pCASL sequence (WEPCAST) MRI technique33.

Conclusion

Based on the ASL principle, multiple physiological parameters beyond CBF have been successfully assessed using advanced ASL techniques. All of these measures would provide additional physiological information to tissue perfusion. Taking advantage of the unique non-invasive nature, these advanced ASL techniques could become potentially useful in various clinical applications, such as neurodegenerative disease, stroke, and cerebrovascular malformation. A systematical evaluation of clinical utilities will be needed in the future.

Acknowledgements

No acknowledgement found.

References

1. Alsop DC, Detre JA, Golay X, et al. Recommended implementation of arterial spin-labeled perfusion MRI for clinical applications: A consensus of the ISMRM perfusion study group and the European consortium for ASL in dementia. Magn Reson Med 2015;73:102-116.

2. Detre JA, Rao H, Wang DJ, Chen YF, Wang Z. Applications of arterial spin labeled MRI in the brain. J Magn Reson Imaging 2012;35:1026-1037.

3. Wu H, Block WF, Turski PA, Mistretta CA, Johnson KM. Noncontrast-enhanced three-dimensional (3D) intracranial MR angiography using pseudocontinuous arterial spin labeling and accelerated 3D radial acquisition. Magn Reson Med 2013;69:708-715.

4. Wu H, Block WF, Turski PA, et al. Noncontrast dynamic 3D intracranial MR angiography using pseudo-continuous arterial spin labeling (PCASL) and accelerated 3D radial acquisition. J Magn Reson Imaging 2014;39:1320-1326.

5. van Osch MJ, Hendrikse J, Golay X, Bakker CJ, van der Grond J. Non-invasive visualization of collateral blood flow patterns of the circle of Willis by dynamic MR angiography. Med Image Anal 2006;10:59-70.

6. Yan L, Wang S, Zhuo Y, et al. Unenhanced dynamic MR angiography: high spatial and temporal resolution by using true FISP-based spin tagging with alternating radiofrequency. Radiology 2010;256:270-279.

7. Yan L, Salamon N, Wang DJ. Time-resolved noncontrast enhanced 4-D dynamic magnetic resonance angiography using multibolus TrueFISP-based spin tagging with alternating radiofrequency (TrueSTAR). Magn Reson Med 2014;71:551-560.

8. Cong F, Zhuo Y, Yu S, et al. Noncontrast-enhanced time-resolved 4D dynamic intracranial MR angiography at 7T: A feasibility study. J Magn Reson Imaging 2018;48:111-120.

9. Bi X, Weale P, Schmitt P, Zuehlsdorff S, Jerecic R. Non-contrast-enhanced four-dimensional (4D) intracranial MR angiography: a feasibility study. Magn Reson Med 2010;63:835-841.

10. Robson PM, Dai W, Shankaranarayanan A, Rofsky NM, Alsop DC. Time-resolved vessel-selective digital subtraction MR angiography of the cerebral vasculature with arterial spin labeling. Radiology 2010;257:507-515.

11. Okell TW, Chappell MA, Woolrich MW, Gunther M, Feinberg DA, Jezzard P. Vessel-encoded dynamic magnetic resonance angiography using arterial spin labeling. Magn Reson Med 2010;64:698-706.

12. Okell TW, Schmitt P, Bi X, et al. Optimization of 4D vessel-selective arterial spin labeling angiography using balanced steady-state free precession and vessel-encoding. NMR Biomed 2016;29:776-786.

13. Song HK, Dougherty L. Dynamic MRI with projection reconstruction and KWIC processing for simultaneous high spatial and temporal resolution. Magn Reson Med 2004;52:815-824.

14. Song HK, Yan L, Smith RX, et al. Noncontrast enhanced four-dimensional dynamic MRA with golden angle radial acquisition and K-space weighted image contrast (KWIC) reconstruction. Magn Reson Med 2014;72:1541-1551.

15. Zhou Z, Han F, Yu S, et al. Accelerated noncontrast-enhanced 4-dimensional intracranial MR angiography using golden-angle stack-of-stars trajectory and compressed sensing with magnitude subtraction. Magn Reson Med 2018;79:867-878.

16. Petersen ET, Lim T, Golay X. Model-free arterial spin labeling quantification approach for perfusion MRI. Magn Reson Med 2006;55:219-232.

17. Chappell MA, Woolrich MW, Petersen ET, Golay X, Payne SJ. Comparing model-based and model-free analysis methods for QUASAR arterial spin labeling perfusion quantification. Magn Reson Med 2013;69:1466-1475.

18. Francis ST, Bowtell R, Gowland PA. Modeling and optimization of Look-Locker spin labeling for measuring perfusion and transit time changes in activation studies taking into account arterial blood volume. Magn Reson Med 2008;59:316-325.

19. Chappell MA, MacIntosh BJ, Donahue MJ, Gunther M, Jezzard P, Woolrich MW. Separation of macrovascular signal in multi-inversion time arterial spin labelling MRI. Magn Reson Med 2010;63:1357-1365.

20. Yan L, Li C, Kilroy E, Wehrli FW, Wang DJ. Quantification of arterial cerebral blood volume using multiphase-balanced SSFP-based ASL. Magn Reson Med 2012;68:130-139.

21. Jahanian H, Peltier S, Noll DC, Hernandez Garcia L. Arterial cerebral blood volume-weighted functional MRI using pseudocontinuous arterial spin tagging (AVAST). Magn Reson Med 2015;73:1053-1064.

22. Liu D, Xu F, Lin DD, van Zijl PCM, Qin Q. Quantitative measurement of cerebral blood volume using velocity-selective pulse trains. Magn Reson Med 2017;77:92-101.

23. Qin Q, Qu Y, Li W, et al. Cerebral blood volume mapping using Fourier-transform-based velocity-selective saturation pulse trains. Magn Reson Med 2019.

24. Yan L, Liu CY, Smith RX, et al. Assessing intracranial vascular compliance using dynamic arterial spin labeling. Neuroimage 2016;124:433-441.

25. Warnert EA, Murphy K, Hall JE, Wise RG. Noninvasive assessment of arterial compliance of human cerebral arteries with short inversion time arterial spin labeling. J Cereb Blood Flow Metab 2015;35:461-468.

26. Ingrisch M, Sourbron S. Tracer-kinetic modeling of dynamic contrast-enhanced MRI and CT: a primer. J Pharmacokinet Pharmacodyn 2013;40:281-300.

27. Tiwari YV, Lu J, Shen Q, Cerqueira B, Duong TQ. Magnetic resonance imaging of blood-brain barrier permeability in ischemic stroke using diffusion-weighted arterial spin labeling in rats. J Cereb Blood Flow Metab 2017;37:2706-2715.

28. Wang J, Fernandez-Seara MA, Wang S, St Lawrence KS. When perfusion meets diffusion: in vivo measurement of water permeability in human brain. J Cereb Blood Flow Metab 2007;27:839-849.

29. Palomares JA, Tummala S, Wang DJ, et al. Water Exchange across the Blood-Brain Barrier in Obstructive Sleep Apnea: An MRI Diffusion-Weighted Pseudo-Continuous Arterial Spin Labeling Study. J Neuroimaging 2015;25:900-905.

30. Shao X, Ma SJ, Casey M, D'Orazio L, Ringman JM, Wang DJJ. Mapping water exchange across the blood-brain barrier using 3D diffusion-prepared arterial spin labeled perfusion MRI. Magn Reson Med 2019;81:3065-3079.

31. Wengler K, Bangiyev L, Canli T, Duong TQ, Schweitzer ME, He X. 3D MRI of whole-brain water permeability with intrinsic diffusivity encoding of arterial labeled spin (IDEALS). Neuroimage 2019;189:401-414.

32. Ohene Y, Harrison IF, Nahavandi P, et al. Non-invasive MRI of brain clearance pathways using multiple echo time arterial spin labelling: an aquaporin-4 study. Neuroimage 2019;188:515-523.

33. Lin Z, Li Y, Su P, et al. Non-contrast MR imaging of blood-brain barrier permeability to water. Magn Reson Med 2018;80:1507-1520.

Proc. Intl. Soc. Mag. Reson. Med. 27 (2019)