Vastly accelerated linear least-squares fitting with numerical optimization for dual-input delay-compensated quantitative liver perfusion mapping.

ABSTRACT:

Purpose

To propose an efficient algorithm to perform dual input compartment modeling for generating perfusion maps in the liver.

Methods

We implemented whole field-of-view linear least squares (LLS) to fit a delay-compensated dual-input single-compartment model to very high temporal resolution (four frames per second) contrast-enhanced 3D liver data, to calculate kinetic parameter maps. Using simulated data and experimental data in healthy subjects and patients, whole-field LLS was compared with the conventional voxel-wise nonlinear least-squares (NLLS) approach in terms of accuracy, performance, and computation time.

Results

Simulations showed good agreement between LLS and NLLS for a range of kinetic parameters. The whole-field LLS method allowed generating liver pe

SUBMITTER: Jafari R 

PROVIDER: S-EPMC5811380 | biostudies-literature | 2018 Apr

REPOSITORIES: biostudies-literature