Fast 3D Magnetic Resonance Fingerprinting (MRF) For a Whole Brain Coverage

By Dan Ma, Yun Jiang, Yong Chen, Debra F. McGivney, Bhairav B. Mehta, Vikas Gulani, Mark A. Griswold. 2017

151 citations recorded by the source corpus.

The purpose of this study was to accelerate the acquisition and reconstruction time of 3D magnetic resonance fingerprinting scans.

Subfields: Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging

How researchers see this paper

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

In Computer Vision and Pattern Recognition

1. Arvid Lundervold

In Radiology, Nuclear Medicine and Imaging

1. Arvid Lundervold
2. Florian Tramèr
3. Dan Boneh

Citations in the corpus

• An overview of deep learning in medical imaging focusing on MRI (2018, background): “2 × 3 mm3 voxel resolution in less than 5 min [158].”