Golden-Angle Radial Sparse Parallel MRI: Combination of Compressed Sensing, Parallel Imaging, and Golden-Angle Radial Sampling for Fast and Flexible Dynamic Volumetric MRI

By Li Feng, Robert Grimm, K. T. Block, Hersh Chandarana, Sungheon Gene Kim, Jian Xu, Leon Axel, Daniel K. Sodickson, Ricardo Otazo. Magnetic Resonance in Medicine, 2013

730 citations recorded by the source corpus.

To develop a fast and flexible free‐breathing dynamic volumetric MRI technique, iterative Golden‐angle RAdial Sparse Parallel MRI (iGRASP), that combines compressed sensing, parallel imaging, and golden‐angle radial sampling.

Subfields: Computational Mechanics, Radiology, Nuclear Medicine and Imaging

View Paper: https://www.semanticscholar.org/paper/cc6cd2d85a37be6b69adc67d242b676ae146650d

How researchers see this paper

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

In Computational Mechanics

1. Florian Knoll
2. Daniel K. Sodickson
3. Kerstin Hammernik
4. Mehmet Akçakaya
5. Steen Moeller
6. Thomas Pock
7. Chi Zhang
8. Antonin Chambolle

In Radiology, Nuclear Medicine and Imaging

1. Steen Moeller
2. Mehmet Akçakaya
3. Daniel K. Sodickson
4. Kerstin Hammernik
5. Florian Knoll
6. Thomas Pock
7. Chi Zhang
8. Jong Chul Ye

Citations in the corpus

• Deep-Learning Methods for Parallel Magnetic Resonance Imaging Reconstruction: A Survey of the Current Approaches, Trends, and Issues (2019, methodology): “Total Variation based methods have been used successfully in combination with radial [19] and spiral [28] acquisitions as well as in dynamic imaging [29].”