Algorithm for fast monoexponential fitting based on Auto-Regression on Linear Operations (ARLO) of data.

ABSTRACT:

Purpose

To develop a fast and accurate monoexponential fitting algorithm based on Auto-Regression on Linear Operations (ARLO) of data, and to validate its accuracy and computational speed by comparing it with the conventional Levenberg-Marquardt (LM) and Log-Linear (LL) algorithms.

Methods

ARLO, LM, and LL performances for T2* mapping were evaluated in simulation and in vivo imaging of liver (n=15) and myocardial (n=1) iron overload patients and the brain (two healthy volunteers).

Results

In simulations, ARLO consistently delivered accuracy similar to LM and significantly superior to LL. In in vivo mapping of T2 * values, ARLO showed excellent agreement with LM, while LL showed only limited agreements with ARLO and LM. Compared with LM and LL in the liver, ARLO was 12

SUBMITTER: Pei M 

PROVIDER: S-EPMC4175304 | biostudies-literature | 2015 Feb

REPOSITORIES: biostudies-literature