Time‐resolved contrast‐enhanced imaging with isotropic resolution and broad coverage using an undersampled 3D projection trajectory

By A. Barger, W. Block, Yu. V. Toropov, T. Grist, C. Mistretta. Magnetic Resonance in Medicine, 2002

313 citations recorded by the source corpus.

Subfields: Atomic and Molecular Physics, and Optics, Radiology, Nuclear Medicine and Imaging

View Paper: https://www.semanticscholar.org/paper/e82cced71c81865b8436197defda90d032857ee8

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Atomic and Molecular Physics, and Optics

1. John M. Pauly
2. David L. Donoho
3. Michael Lustig
4. Justin P. Haldar
5. Rick Chartrand
6. Daniel K. Sodickson
7. Shreyas S. Vasanawala
8. Ricardo Otazo

In Radiology, Nuclear Medicine and Imaging

1. David L. Donoho
2. Michael Lustig
3. John M. Pauly
4. Juan M. Santos
5. Olaf Dössel
6. Justin P. Haldar
7. E.J. Candes
8. Daniel K. Sodickson

Citations in the corpus

• Sparse MRI: The application of compressed sensing for rapid MR imaging (2007, background): “Vastly undersampled 3D radial trajectories – VIPR (39) have demonstrated high acceleration for angiography.”
• An Optimal Radial Profile Order Based on the Golden Ratio for Time-Resolved MRI (2007, methodology): “Since then, others have adopted this approach for fast parameter mapping [10]‐[12], in dynamic studies of the biodistribution of a contrast agent [13], [14] and for time-resolved contrast-enhanced three-dimensional (3-D) MR angiography [ 5 ].”
• Undersampled radial MRI with multiple coils. Iterative image reconstruction using a total variation constraint (2007, unknown): “[3]”
• Magnetic Resonance Fingerprinting (2013, unknown): “…only take advantage of two spatial dimensions for undersampling, while it is well known that taking full advantage of undersampling in all three spatial dimensions gives higher performance than a 2D acquisition due to the reduced power of the resulting errors at any given undersampling factor 47 .”
• Highly constrained backprojection for time‐resolved MRI (2006, methodology): “In the case of time-resolved contrast-enhanced VIPR studies, the streak artifacts have been reduced using a spatial frequency dependent (Tornado) filter (3) in which the temporal window is increased as the radial distance from the center of k-space increases.”
• Compressed Sensing MRI (2008, background): “[12], [55] obtaining improved spatial resolution and temporal resolution at the expense of undersampling artifacts.”