Parallel MR imaging

By A. Deshmane, Vikas Gulani, Mark A. Griswold, Nicole Seiberlich. Journal of Magnetic Resonance Imaging, 2012

622 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/496c35ce9464937155436a8bd11cf4003cf8e5bb

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. Giannis Daras
2. Simon Robert Arridge
3. A. Dimakis
4. Ajil Jalal
5. Pier Luigi Dragotti

In Radiology, Nuclear Medicine and Imaging

1. Giannis Daras
2. Simon Robert Arridge
3. A. Dimakis
4. Ajil Jalal
5. Xujiong Ye
6. Eric Price

Citations in the corpus

• DAGAN: Deep De-Aliasing Generative Adversarial Networks for Fast Compressed Sensing MRI Reconstruction (2018, background): “The acceleration factor of parallel imaging is limited by the number and arrangement of the receiver coils, which potentially introduce some imaging artefacts [10] and increase the manufacturing cost of the MRI scanner.”
• Robust Compressed Sensing MRI with Deep Generative Priors (2021, background): “Using compressed sensing for multi-coil MRI reconstruction has led to a rich body of work in the past two decades [58, 20, 83, 71].”