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20192024
most citedQuantitative Susceptibility Inversion Through Parcellated Multiresolution Neural Networks and K-Space Substitution

6 citations · 19 across the 10 of their papers we have counts for

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physics.med-ph2023

Variable Resolution Sampling and Deep Learning-Based Image Recovery for Faster Multi-Spectral Imaging Near Metal Implants

Nikolai J. Mickevicius, Azadeh Sharafi, Andrew S. Nencka +1

Purpose: In multi-spectral imaging (MSI), several fast spin echo volumes with discrete Larmor frequency offsets are acquired in an interleaved fashion with multiple concatenations.…

physics.med-ph20231 cited

Development and Stability Analysis of Carpal Kinematic Metrics from 4D Magnetic Resonance Imaging

Azadeh Sharafi, Andrew S Nencka, Kevin M Koch

Introduction: Wrist instability remains a common health concern. The potential of dynamic Magnetic Resonance Imaging (MRI) in assessing carpal dynamics associated with this conditi…

physics.med-ph2021

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…

physics.med-ph20204 cited

Reducing the Dimensionality of Optimal Experiment Design for Magnetic Resonance Fingerprinting

Nikolai J. Mickevicius, Andrew S. Nencka, Eric S. Paulson

Nuclear magnetic resonance signal dynamics as described by the Bloch equations are highly complex and often are without closed form solutions. This is especially the case for quant…

physics.med-ph20205 cited

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…

physics.med-ph20196 cited

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-…