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20172020
most citedUnsupervised MRI Reconstruction with Generative Adversarial Networks

33 citations · 34 across the 5 of their papers we have counts for

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physics.med-ph2020

Spectral Decomposition in Deep Networks for Segmentation of Dynamic Medical Images

Edgar A. Rios Piedra, Morteza Mardani, Frank Ong +3

Dynamic contrast-enhanced magnetic resonance imaging (DCE- MRI) is a widely used multi-phase technique routinely used in clinical practice. DCE and similar datasets of dynamic medi…

physics.med-ph2019

High-Resolution, Respiratory-Resolved Coronary MRA Using a Phyllotaxis-Reordered Variable-Density 3D Cones Trajectory

Srivathsan P. Koundinyan, Corey A. Baron, Mario O. Malave +6

Purpose: To develop a respiratory-resolved motion-compensation method for free-breathing, high-resolution coronary magnetic resonance angiography using a 3D cones trajectory. Metho…

physics.med-ph2019

Extreme MRI: Large-Scale Volumetric Dynamic Imaging from Continuous Non-Gated Acquisitions

Frank Ong, Xucheng Zhu, Joseph Y. Cheng +4

Purpose: To develop a framework to reconstruct large-scale volumetric dynamic MRI from rapid continuous and non-gated acquisitions, with applications to pulmonary and dynamic contr…

physics.med-ph2019

Accelerating Non-Cartesian MRI Reconstruction Convergence using k-space Preconditioning

Frank Ong, Martin Uecker, Michael Lustig

We propose a k-space preconditioning formulation for accelerating the convergence of iterative Magnetic Resonance Imaging (MRI) reconstructions from non-uniformly sampled k-space d…

physics.med-ph2018

SURE-based Automatic Parameter Selection For ESPIRiT Calibration

Siddharth Iyer, Frank Ong, Kawin Setsompop +2

Purpose: Parallel imaging methods in MRI have resulted in faster acquisition times and improved noise performance. ESPIRiT is one such technique that estimates coil sensitivity map…