Three‐dimensional whole‐brain mapping of cerebral blood volume and venous cerebral blood volume using Fourier transform–based velocity‐selective pulse trains

• Published in: Magnetic resonance in medicine Vol. 86; no. 3; pp. 1420 - 1433
• Main Authors: Li, Wenbo, Liu, Dapeng, Zijl, Peter C. M., Qin, Qin
• Format: Journal Article
• Language: English
• Published: United States Wiley Subscription Services, Inc 01.09.2021
• Subjects: arterial nulling; Blood; Blood volume; Brain; Brain - diagnostic imaging; Brain Mapping; Cerebral blood flow; Cerebral Blood Volume; Cerebrospinal fluid; Cerebrovascular Circulation; Contamination; CSF suppression; Fourier Analysis; Fourier transforms; Humans; Magnetic Resonance Imaging; Mapping; Substantia alba; Substantia grisea; Velocity; velocity‐selective pulse train; venous cerebral blood volume; CSF suppression; arterial nulling; venous cerebral blood volume; cerebral blood volume; velocity-selective pulse train
• ISSN: 0740-3194; 1522-2594
• DOI: 10.1002/mrm.28815

Purpose To develop 3D MRI methods for cerebral blood volume (CBV) and venous cerebral blood volume (vCBV) estimation with whole‐brain coverage using Fourier transform–based velocity‐selective (FT‐VS) pulse trains. Methods For CBV measurement, FT‐VS saturation pulse trains were used to suppress static tissue, whereas CSF contamination was corrected voxel‐by‐voxel using a multi‐readout acquisition and a fast CSF T2 scan. The vCBV mapping was achieved by inserting an arterial‐nulling module that included a FT‐VS inversion pulse train. Using these methods, CBV and vCBV maps were obtained on 6 healthy volunteers at 3 T. Results The mean CBV and vCBV values in gray matter and white matter in different areas of the brain showed high correlation (r = 0.95 and P < .0001). The averaged CBV and vCBV values of the whole brain were 5.4 ± 0.6 mL/100 g and 2.5 ± 0.3 mL/100 g in gray matter, and 2.6 ± 0.5 mL/100 g and 1.5 ± 0.2 mL/100 g in white matter, respectively, comparable to the literature. Conclusion The feasibility of FT‐VS‐based CBV and vCBV estimation was demonstrated for 3D acquisition with large spatial coverage.