4 citations · 6 across the 3 of their papers we have counts for
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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…
Application of a k-Space Interpolating Artificial Neural Network to In-Plane Accelerated Simultaneous Multislice Imaging
Nikolai J. Mickevicius, Eric S. Paulson, L. Tugan Muftuler +1
Purpose: The goal of this work is to extend the capabilities of RAKI, a k-space interpolating neural network, to reconstruct high-quality images from in-plane accelerated simultane…
Build-A-FLAIR: Synthetic T2-FLAIR Contrast Generation through Physics Informed Deep Learning
Andrew S. Nencka, Andrew Klein, Kevin M. Koch +7
Purpose: Magnetic resonance imaging (MRI) exams include multiple series with varying contrast and redundant information. For instance, T2-FLAIR contrast is based upon tissue T2 dec…
Simultaneous Motion Monitoring and Truth-In-Delivery Analysis Imaging Framework for MR-guided Radiotherapy
Nikolai J. Mickevicius, Xinfeng Chen, Zachary Boyd +3
Intrafraction motion can play a pivotal role in the success of abdominal and thoracic radiation therapy. Hybrid magnetic resonance-guided radiotherapy systems have the potential to…