13 citations · 14 across the 7 of their papers we have counts for
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High-Temporal-Resolution Motion Correction in Magnetic Resonance Fingerprinting Using a Quantitative Scout and Compact Spiral Navigators
Aizada Nurdinova, Xiaozhi Cao, Daniel R. Abraham +6
Motion correction in magnetic resonance fingerprinting (MRF) helps preserve the accuracy of quantitative maps; however, existing approaches provide motion updates only every 7-8 se…
Fast Voxelwise SNR Estimation for Iterative MRI Reconstructions
Onat Dalmaz, Daniel Abraham, Alexander R. Toews +3
Purpose: To develop a fast, general-purpose framework for voxelwise noise characterization in linear and nonlinear iterative MRI reconstructions, recovering the image-domain noise…
Fast Reconstruction of Motion-Corrupted Data with Mobile-GRAPPA: Motion and dB0 Inhomogeneity Correction Leveraging Efficient GRAPPA
Yimeng Lin, Nan Wang, Daniel Abraham +5
Advanced motion navigations now enable rapid tracking of subject motion and dB0-induced phase, but accurately incorporating this high-temporal-resolution information into SENSE (Al…
Data and Physics driven Deep Learning Models for Fast MRI Reconstruction: Fundamentals and Methodologies
Jiahao Huang, Yinzhe Wu, Fanwen Wang +17
Magnetic Resonance Imaging (MRI) is a pivotal clinical diagnostic tool, yet its extended scanning times often compromise patient comfort and image quality, especially in volumetric…
Implicit Representation of GRAPPA Kernels for Fast MRI Reconstruction
Daniel Abraham, Mark Nishimura, Xiaozhi Cao +2
MRI data is acquired in Fourier space/k-space. Data acquisition is typically performed on a Cartesian grid in this space to enable the use of a fast Fourier transform algorithm to…