An off-the-grid approach to multi-compartment magnetic resonance fingerprinting

11/23/2020
by   Mohammad Golbabaee, et al.
11

We propose a novel numerical approach to separate multiple tissue compartments in image voxels and to estimate quantitatively their nuclear magnetic resonance (NMR) properties and mixture fractions, given magnetic resonance fingerprinting (MRF) measurements. The number of tissues, their types or quantitative properties are not a-priori known, but the image is assumed to be composed of sparse compartments with linearly mixed Bloch magnetisation responses within voxels. Fine-grid discretisation of the multi-dimensional NMR properties creates large and highly coherent MRF dictionaries that can challenge scalability and precision of the numerical methods for (discrete) sparse approximation. To overcome these issues, we propose an off-the-grid approach equipped with an extended notion of the sparse group lasso regularisation for sparse approximation using continuous (non-discretised) Bloch response models. Further, the nonlinear and non-analytical Bloch responses are approximated by a neural network, enabling efficient back-propagation of the gradients through the proposed algorithm. Tested on simulated and in-vivo healthy brain MRF data, we demonstrate effectiveness of the proposed scheme compared to the baseline multicompartment MRF methods.

READ FULL TEXT

page 1

page 4

page 7

page 8

page 9

page 11

page 12

page 13

research
02/28/2018

Multicompartment Magnetic Resonance Fingerprinting

Magnetic resonance fingerprinting (MRF) is a technique for quantitative ...
research
03/10/2015

Fast Multi-class Dictionaries Learning with Geometrical Directions in MRI Reconstruction

Objective: Improve the reconstructed image with fast and multi-class dic...
research
07/17/2018

Magnetic Resonance Fingerprinting Reconstruction via Spatiotemporal Convolutional Neural Networks

Magnetic resonance fingerprinting (MRF) quantifies multiple nuclear magn...
research
07/16/2021

Real-Time Mapping of Tissue Properties for Magnetic Resonance Fingerprinting

Magnetic resonance Fingerprinting (MRF) is a relatively new multi-parame...
research
09/05/2018

A deep learning approach for Magnetic Resonance Fingerprinting

Current popular methods for Magnetic Resonance Fingerprint (MRF) recover...
research
01/17/2022

MUPen2DTool: a Matlab Tool for 2D Nuclear Magnetic Resonance relaxation data inversion

Accurate and efficient analysis of materials properties from Nuclear Mag...
research
10/03/2018

CoverBLIP: accelerated and scalable iterative matched-filtering for Magnetic Resonance Fingerprint reconstruction

Current popular methods for Magnetic Resonance Fingerprint (MRF) recover...

Please sign up or login with your details

Forgot password? Click here to reset