Alternating low-rank tensor reconstruction for improved multiparametric mapping with cardiovascular MR Multitasking.

ABSTRACT:

Purpose

To develop a novel low-rank tensor reconstruction approach leveraging the complete acquired data set to improve precision and repeatability of multiparametric mapping within the cardiovascular MR Multitasking framework.

Methods

A novel approach that alternated between estimation of temporal components and spatial components using the entire data set acquired (i.e., including navigator data and imaging data) was developed to improve reconstruction. The precision and repeatability of the proposed approach were evaluated on numerical simulations, 10 healthy subjects, and 10 cardiomyopathy patients at multiple scan times for 2D myocardial T₁/T₂ mapping with MR Multitasking and were compared with those of the previous navigator-derived fixed-basis ap

SUBMITTER: Cao T 

PROVIDER: S-EPMC11262969 | biostudies-literature | 2024 Oct

REPOSITORIES: biostudies-literature