Magnetic Resonance Imaging
ISSN: 0730-725X
Datasets associated with articles published in Magnetic Resonance Imaging
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- Data for: Test-retest reliability and reproducibility of long-label pseudo-continuous arterial spin labeling test-retest CBF
- Data for: Compressed MRI reconstruction exploiting a rotation-invariant total variation discretizationThis MATLAB package will reproduce the results of the proposed method in the paper "Compressed MRI reconstruction exploiting a rotation-invariant total variation discretization".
- Data for: Compressed MRI reconstruction exploiting a rotation-invariant total variation discretizationThis MATLAB package will reproduce the results of the proposed method in "Compressed MRI reconstruction exploiting a rotation-invariant total variation discretization".
- Data for: Compressed MRI reconstruction exploiting a rotation-invariant total variation discretizationThis MATLAB package will reproduce the results of the proposed method in the paper "Compressed MRI reconstruction exploiting a rotation-invariant total variation discretization".
- Data for: Group Delay Method for MRI Aortic Pulse Wave Velocity Measurements in Clinical Protocols with Low Temporal Resolution: Validation in a Heterogeneous CohortData for manuscript "Group Delay Method for MRI Aortic Pulse Wave Velocity Measurements in Clinical Protocols with Low Temporal Resolution: Validation in a Heterogeneous Cohort".
- Data for: Fully Automated and Comprehensive Left-Ventricular Contractility Analysis in Long-term Survivors of Breast Cancer Patients after Chemotherapy Example full dataset of DENSE MRI data
- Data for: Motion-Compensated Reconstruction of Magnetic Resonance Images from Undersampled DataThese data files contain the multi-channel MRI k-space information to reconstruct the images for the paper "Motion-Compensated Reconstruction of Magnetic Resonance Images from Undersampled Data" submitted to Magnetic Resonance Imaging by Daniel Weller, Luonan Wang, John Mugler, and Craig Meyer. Each zip file contains a MATLAB workspace file (.mat) and a readme.txt file explaining the contents of that workspace file.