Algorithm for Fast Monoexponential Fitting Based on Auto-Regression on Linear Operations (ARLO) of Data

Academic Article
Publication Date:
2015
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.
Iris type:
01.01 Articolo in rivista
Keywords:
T-2* mapping; autoregression; Levenberg-Marquardt; Log-Linear; iron overload
List of contributors:
Handle:
https://iris.cnr.it/handle/20.500.14243/314937
Published in:
MAGNETIC RESONANCE IN MEDICINE (PRINT)
Journal