A three-dimensional MR-STAT protocol for high-resolution multi-parametric quantitative MRI

TL;DR

This paper introduces a 3D MR-STAT protocol that enables high-resolution, multi-parametric MRI within a short scan time, improving image quality and tissue characterization for clinical applications.

Contribution

The work extends 2D MR-STAT to 3D, incorporating undersampling and data splitting techniques for efficient, high-resolution quantitative MRI.

Findings

Achieved 0.8 x 0.8 x 1.5mm3 resolution in 7 minutes

Validated the framework with simulations, phantoms, and in-vivo studies

Produced high-quality quantitative maps of knee and lower leg tissues

Abstract

Magnetic Resonance Spin Tomography in Time-Domain (MR-STAT) is a multiparametric quantitative MR framework, which allows for simultaneously acquiring quantitative tissue parameters such as T1, T2 and proton density from one single short scan. A typical 2D MR-STAT acquisition uses a gradient-spoiled, gradient-echo sequence with a slowly varying RF flip-angle train and Cartesian readouts, and the quantitative tissue maps are reconstructed by an iterative, model-based optimization algorithm. In this work, we design a 3D MR-STAT framework based on previous 2D work, in order to achieve better image SNR, higher though-plan resolution and better tissue characterization. Specifically, we design a 7-minute, high-resolution 3D MR-STAT sequence, and the corresponding two-step reconstruction algorithm for the large-scale dataset. To reduce the long acquisition time, Cartesian undersampling strategies such as SENSE are adopted in our transient-state quantitative framework. To reduce the computational burden, a data splitting scheme is designed for decoupling the 3D reconstruction problem into independent 2D reconstructions. The proposed 3D framework is validated by numerical simulations, phantom experiments and in-vivo experiments. High-quality knee quantitative maps with 0.8 x 0.8 x 1.5mm3 resolution and bilateral lower leg maps with 1.6mm isotropic resolution can be acquired using the proposed 7-minute acquisition sequence and the 3-minute-per-slice decoupled reconstruction algorithm. The proposed 3D MR-STAT framework could have wide clinical applications in the future.