Title :
Multi-TI Arterial Spin Labeling MRI with Variable TR and Bolus Duration for Cerebral Blood Flow and Arterial Transit Time Mapping
Author :
Johnston, Megan E. ; Lu, Kun ; Maldjian, Joseph A. ; Youngkyoo Jung
Author_Institution :
Dept. of Biomed. Eng., Winston-Salem, Wake Forest, NC, USA
Abstract :
Arterial spin labeling (ASL) is an MRI perfusion imaging method from which quantitative cerebral blood flow (CBF) can be calculated. We present a multi-TI ASL method (multi-TI integrated ASL) in which variable post-labeling delays and variable TRs are used to improve the estimation of arterial transit time (ATT) and CBF while shortening the scan time by 41% compared to the conventional methods. Variable bolus widths allow for T1 and M0 estimation from raw ASL data. Multi-TI integrated pseudo-continuous ASL images were collected at 7 TI times ranging 100-4300ms. Voxel-wise T1 and M0 maps were estimated, then CBF and ATT maps were created using the estimated T1 tissue map. All maps were consistent with physiological values reported in the literature. Based on simulations and in vivo comparisons, this method demonstrates higher CBF and ATT estimation efficiency than other ATT acquisition methods and better fit to the perfusion model. It produces CBF maps with reduced sensitivity to errors from ATT and tissue T1 variations. The estimated M0, T1, and ATT maps also have potential clinical utility. The method requires a single scan acquired within a clinically acceptable scan time (under 6 minutes) and with low sensitivity to motion.
Keywords :
biomedical MRI; blood vessels; brain; data acquisition; data analysis; delays; feature extraction; haemodynamics; medical computing; neurophysiology; parameter estimation; spin-lattice relaxation; ATT acquisition; ATT map; ATT variation error sensitivity reduction; CBF map; M0 map estimation; MRI perfusion imaging; TI time range; TR variation; arterial transit time estimation; arterial transit time mapping; bolus duration variation; bolus width variation; cerebral blood flow mapping; clinical utility; clinically acceptable scan time; high ATT estimation efficiency; high CBF estimation efficiency; in vivo comparison; low motion sensitivity; multi-TI arterial spin labeling MRI; multi-TI integrated pseudocontinuous ASL image; perfusion model fit; physiological value; post-labeling delay variation; quantitative CBF calculation; quantitative cerebral blood flow calculation; raw ASL data; scan time shortening; simulation; single scan acquisition; time 100 ms to 4300 ms; tissue T1 variation error sensitivity reduction; voxel-wise T1 map estimation; Blood; Estimation; Imaging; Labeling; Magnetization; Sensitivity; Signal to noise ratio; ${rm T}_{1}$ mapping; Arterial spin labeling (ASL); arterial transit time (ATT); cerebral blood flow (CBF);
Journal_Title :
Medical Imaging, IEEE Transactions on
DOI :
10.1109/TMI.2015.2395257