Partial volume (PV) correction is an important step in arterial spin labeling (ASL) MRI that is used to separate perfusion from structural effects when computing the mean gray matter (GM) perfusion. There are three main methods for performing this correction: (1) GM-threshold, which includes only voxels with GM volume above a preset threshold; (2) GM-weighted, which uses voxel-wise GM contribution combined with thresholding; and (3) PVC, which applies a spatial linear regression algorithm to estimate the flow contribution of each tissue at a given voxel. In all cases, GM volume is obtained using PV maps extracted from the segmentation of the T1-weighted (T1w) image. As such, PV maps contain errors due to the difference in readout type and spatial resolution between ASL and T1w images. Here, we estimated these errors and evaluated their effect on the performance of each PV correction method in computing GM cerebral blood flow (CBF).

+More

pv correction method volume pv correction voxelwise gm contribution structural effects threshold readout computing the mean gray matter gm computing gm cerebral blood flow cbf spatial linear regression algorithm perfusion t1weighted t1w arterial spin labeling asl mri thresholding images

Henri J. M. M. Mutsaerts,Marion Smits,Iris Asllani,Enrico De Vita,Frank Hofheinz,Aart J. Nederveen,Rebecca M. E. Steketee,Jörg van den Hoff,Jan Petr,.Effects of systematic partial volume errors on the estimation of gray matter cerebral blood flow with arterial spin labeling MRI. 31 (6),725–734.

Henri J. M. M. Mutsaerts, et al."Effects of systematic partial volume errors on the estimation of gray matter cerebral blood flow with arterial spin labeling MRI" 31

Henri J. M. M. Mutsaerts,Marion Smits,Iris Asllani,Enrico De Vita,Frank Hofheinz,Aart J. Nederveen,Rebecca M. E. Steketee,Jörg van den Hoff,Jan Petr,"Effects of systematic partial volume errors on the estimation of gray matter cerebral blood flow with arterial spin labeling MRI"