Robust estimation of quantitative perfusion from multi-phase pseudo-continuous arterial spin labeling.

ABSTRACT:

Purpose

Multi-phase PCASL has been proposed as a means to achieve accurate perfusion quantification that is robust to imperfect shim in the labeling plane. However, there exists a bias in the estimation process that is a function of noise in the data. In this work, this bias is characterized and then addressed in animal and human data.

Methods

The proposed algorithm to overcome bias uses the initial biased voxel-wise estimate of phase tracking error to cluster regions with different off-resonance phase shifts, from which a high-SNR estimate of regional phase offset is derived. Simulations were used to predict the bias expected at typical SNR. Multi-phase PCASL in 3 rat strains (n = 21) at 9.4 T was considered, along with 20 human subjects previously imaged using ASL at 3 T.

SUBMITTER: Msayib Y 

PROVIDER: S-EPMC6899553 | biostudies-literature | 2020 Mar

REPOSITORIES: biostudies-literature