activity
20162023
most citedLow Rank Alternating Direction Method of Multipliers Reconstruction for MR Fingerprinting

216 citations · 453 across the 11 of their papers we have counts for

collaborators

11 papers

cs.LG2023★ 2 cited

PIFON-EPT: MR-Based Electrical Property Tomography Using Physics-Informed Fourier Networks

Xinling Yu, José E. C. Serrallés, Ilias I. Giannakopoulos +4

We propose Physics-Informed Fourier Networks for Electrical Properties (EP) Tomography (PIFON-EPT), a novel deep learning-based method for EP reconstruction using noisy and/or inco…

cs.LG2022★ 1 cited

MR-Based Electrical Property Reconstruction Using Physics-Informed Neural Networks

Xinling Yu, José E. C. Serrallés, Ilias I. Giannakopoulos +4

Electrical properties (EP), namely permittivity and electric conductivity, dictate the interactions between electromagnetic waves and biological tissue. EP can be potential biomark…

cs.CE2022

A hybrid volume-surface integral equation method for rapid electromagnetic simulations in MRI

Ilias I. Giannakopoulos, Georgy D. Guryev, José E. C. Serrallés +6

Objective: We developed a hybrid volume surface integral equation (VSIE) method based on domain decomposition to perform fast and accurate magnetic resonance imaging (MRI) simulati…

cs.CE2021★ 22 cited

Compression of volume-surface integral equation matrices via Tucker decomposition for magnetic resonance applications

Ilias I. Giannakopoulos, Georgy D. Guryev, Jose E. C. Serralles +4

In this work, we propose a method for the compression of the coupling matrix in volume\hyp surface integral equation (VSIE) formulations. VSIE methods are used for electromagnetic…

physics.med-ph2020

Magnetic-resonance-based electrical property mapping using Global Maxwell Tomography with an 8-channel head coil at 7 Tesla: a simulation study

Ilias I. Giannakopoulos, José E. C. Serrallés, Luca Daniel +4

Objective: Global Maxwell Tomography (GMT) is a recently introduced volumetric technique for noninvasive estimation of electrical properties (EP) from magnetic resonance measuremen…

eess.IV2019★ 92 cited

Magnetization Transfer in Magnetic Resonance Fingerprinting

Tom Hilbert, Ding Xia, Kai Tobias Block +5

Purpose: To study the effects of magnetization transfer (MT, in which a semisolid spin pool interacts with the free pool), in the context of magnetic resonance fingerprinting (MRF)…

physics.ins-det2018

The Optimality Principle for MR signal excitation and reception: New physical insights into ideal radiofrequency coil design

Daniel K. Sodickson, Riccardo Lattanzi, Manushka Vaidya +4

Purpose: Despite decades of collective experience, radiofrequency coil optimization for MR has remained a largely empirical process, with clear insight into what might constitute t…

physics.med-ph2018★ 44 cited

Hybrid-State Free Precession in Nuclear Magnetic Resonance

Jakob Assländer, Dmitry S. Novikov, Riccardo Lattanzi +2

The dynamics of large spin-1/2 ensembles in the presence of a varying magnetic field are commonly described by the Bloch equation. Most magnetic field variations result in unintuit…

physics.med-ph2018★ 41 cited

Multicompartment Magnetic Resonance Fingerprinting

Sunli Tang, Carlos Fernandez-Granda, Sylvain Lannuzel +5

Magnetic resonance fingerprinting (MRF) is a technique for quantitative estimation of spin-relaxation parameters from magnetic-resonance data. Most current MRF approaches assume th…

physics.med-ph2017★ 35 cited

Optimized Quantification of Spin Relaxation Times in the Hybrid State

Jakob Assländer, Riccardo Lattanzi, Daniel K Sodickson +1

Purpose: The analysis of optimized spin ensemble trajectories for relaxometry in the hybrid state. Methods: First, we constructed visual representations to elucidate the differenti…

physics.med-ph2016★ 216 cited

Low Rank Alternating Direction Method of Multipliers Reconstruction for MR Fingerprinting

Jakob Assländer, Martijn A Cloos, Florian Knoll +3

Purpose The proposed reconstruction framework addresses the reconstruction accuracy, noise propagation and computation time for Magnetic Resonance Fingerprinting (MRF). Methods Bas…