6 citations · 26 across the 10 of their papers we have counts for
7 papers · 1 filter
Unconstrained Kinematic MRI Tracking of Wrist Carpal Bones
Mohammad Zarenia, Volkan Emre Arpinar, Andrew S. Nencka +2
In this preliminary study technical methodology for kinematic tracking and profiling of wrist carpal bones during unconstrained movements is explored. Heavily under-sampled and fat…
Optimization of hyperparameters for SMS reconstruction
L. Tugan Muftuler, Volkan Emre Arpinar, Kevin Koch +5
Simultaneous multi-slice (SMS) imaging accelerates MRI data acquisition by exciting multiple image slices simultaneously. Overlapping slices are then separated using a mathematical…
Meta-QSM: An Image-Resolution-Arbitrary Network for QSM Reconstruction
Juan Liu, Kevin M. Koch
Quantitative Susceptibility Mapping (QSM) can estimate the underlying tissue magnetic susceptibility and reveal pathology. Current deep-learning-based approaches to solve the QSM i…
Deep Quantitative Susceptibility Mapping for Background Field Removal and Total Field Inversion
Juan Liu, Kevin M. Koch
Quantitative susceptibility mapping (QSM) utilizes MRI signal phase to estimate local tissue susceptibility, which has been shown useful to provide novel image contrast and as biom…
MRI Tissue Magnetism Quantification through Total Field Inversion with Deep Neural Networks
Juan Liu, Kevin M. Koch
Quantitative susceptibility mapping (QSM) utilizes MRI signal phase to infer estimates of local tissue magnetism (magnetic susceptibility), which has been shown useful to provide n…
Quantitative Susceptibility Inversion Through Parcellated Multiresolution Neural Networks and K-Space Substitution
Juan Liu, Andrew S. Nencka, L. Tugan Muftuler +3
Purpose: Quantitative Susceptibility Mapping (QSM) reconstruction is a challenging inverse problem driven by poor conditioning of the field to susceptibility transformation. State-…