Self-calibrated subspace reconstruction for multidimensional MR fingerprinting for simultaneous relaxation and diffusion quantification

© 2023 The Authors. Magnetic Resonance in Medicine published by Wiley Periodicals LLC on behalf of International Society for Magnetic Resonance in Medicine..

PURPOSE: To propose a new reconstruction method for multidimensional MR fingerprinting (mdMRF) to address shading artifacts caused by physiological motion-induced measurement errors without navigating or gating.

METHODS: The proposed method comprises two procedures: self-calibration and subspace reconstruction. The first procedure (self-calibration) applies temporally local matrix completion to reconstruct low-resolution images from a subset of under-sampled data extracted from the k-space center. The second procedure (subspace reconstruction) utilizes temporally global subspace reconstruction with pre-estimated temporal subspace from low-resolution images to reconstruct aliasing-free, high-resolution, and time-resolved images. After reconstruction, a customized outlier detection algorithm was employed to automatically detect and remove images corrupted by measurement errors. Feasibility, robustness, and scan efficiency were evaluated through in vivo human brain imaging experiments.

RESULTS: The proposed method successfully reconstructed aliasing-free, high-resolution, and time-resolved images, where the measurement errors were accurately represented. The corrupted images were automatically and robustly detected and removed. Artifact-free T1, T2, and ADC maps were generated simultaneously. The proposed reconstruction method demonstrated robustness across different scanners, parameter settings, and subjects. A high scan efficiency of less than 20 s per slice has been achieved.

CONCLUSION: The proposed reconstruction method can effectively alleviate shading artifacts caused by physiological motion-induced measurement errors. It enables simultaneous and artifact-free quantification of T1, T2, and ADC using mdMRF scans without prospective gating, with robustness and high scan efficiency.

Medienart:

E-Artikel

Erscheinungsjahr:

2024

Erschienen:

2024

Enthalten in:

Zur Gesamtaufnahme - volume:91

Enthalten in:

Magnetic resonance in medicine - 91(2024), 5 vom: 01. Apr., Seite 1978-1993

Sprache:

Englisch

Beteiligte Personen:

Qiu, Zhilang [VerfasserIn]
Hu, Siyuan [VerfasserIn]
Zhao, Walter [VerfasserIn]
Sakaie, Ken [VerfasserIn]
Sun, Jessie E P [VerfasserIn]
Griswold, Mark A [VerfasserIn]
Jones, Derek K [VerfasserIn]
Ma, Dan [VerfasserIn]

Links:

Volltext

Themen:

Diffusion MRI
Journal Article
Low-rank matrix completion
Low-rank subspace reconstruction
MR fingerprinting
Time-resolved image reconstruction

Anmerkungen:

Date Completed 20.03.2024

Date Revised 03.04.2024

published: Print-Electronic

Citation Status MEDLINE

doi:

10.1002/mrm.29969

funding:

Förderinstitution / Projekttitel:

PPN (Katalog-ID):

NLM365934666