Deep learning for fast and spatially constrained tissue quantification from highly accelerated data in magnetic resonance fingerprinting
Magnetic resonance fingerprinting (MRF) is a quantitative imaging technique that can
simultaneously measure multiple important tissue properties of human body. Although MRF …
simultaneously measure multiple important tissue properties of human body. Although MRF …
Rapid three-dimensional multiparametric MRI with quantitative transient-state imaging
Novel methods for quantitative, transient-state multiparametric imaging are increasingly
being demonstrated for assessment of disease and treatment efficacy. Here, we build on …
being demonstrated for assessment of disease and treatment efficacy. Here, we build on …
Magnetic resonance fingerprinting using recurrent neural networks
Magnetic Resonance Fingerprinting (MRF) is a new approach to quantitative magnetic
resonance imaging that allows simultaneous measurement of multiple tissue properties in a …
resonance imaging that allows simultaneous measurement of multiple tissue properties in a …
Compressive MRI quantification using convex spatiotemporal priors and deep encoder-decoder networks
We propose a dictionary-matching-free pipeline for multi-parametric quantitative MRI image
computing. Our approach has two stages based on compressed sensing reconstruction and …
computing. Our approach has two stages based on compressed sensing reconstruction and …
Designing contrasts for rapid, simultaneous parameter quantification and flow visualization with quantitative transient-state imaging
Magnetic resonance imaging (MRI) has evolved into an outstandingly versatile diagnostic
modality, as it has the ability to non-invasively produce detailed information on a tissue's …
modality, as it has the ability to non-invasively produce detailed information on a tissue's …
Channel attention networks for robust MR fingerprint matching
Objective: Magnetic Resonance Fingerprinting (MRF) enables simultaneous mapping of
multiple tissue parameters such as T1 and T2 relaxation times. The working principle of MRF …
multiple tissue parameters such as T1 and T2 relaxation times. The working principle of MRF …
Accelerated parameter mapping with compressed sensing: an alternative to MR Fingerprinting
PA Gómez, G Buonincontri… - Proc Intl Soc Mag …, 2017 - mediatum.ub.tum.de
We introduce a method for MR parameter mapping based on three concepts: 1) an inversion
recovery, variable flip angle acquisition strategy designed for speed, signal, and contrast; 2) …
recovery, variable flip angle acquisition strategy designed for speed, signal, and contrast; 2) …
Spatio-temporal MRI reconstruction by enforcing local and global regularity via dynamic total variation and nuclear norm minimization
In this paper, we propose a new spatio-temporal reconstruction scheme for the fast
reconstruction of dynamic magnetic resonance imaging (dMRI) data from undersampled k …
reconstruction of dynamic magnetic resonance imaging (dMRI) data from undersampled k …
Simultaneous parameter mapping, modality synthesis, and anatomical labeling of the brain with MR fingerprinting
Magnetic resonance fingerprinting (MRF) quantifies various properties simultaneously by
matching measurements to a dictionary of precomputed signals. We propose to extend the …
matching measurements to a dictionary of precomputed signals. We propose to extend the …
Steady state magnetic resonance fingerprinting
TE Amthor, P Koken, K Sommer, MI Doneva… - US Patent …, 2020 - Google Patents
A magnetic resonance imaging system (100) acquires magnetic resonance data (142) from
a subject (118) within a measurement zone (108). Pulse sequence commands (140) control …
a subject (118) within a measurement zone (108). Pulse sequence commands (140) control …