HIGHLIGHTS
- who: D magnetic resonance fingerprinting and colleagues from the (UNIVERSITY) have published the article: High-Resolution 3D Magnetic Resonance Fingerprinting With a Graph Convolutional Network, in the Journal: (JOURNAL)
- what: The focus of the approach is not on artifact removal.
- how: For both datasets the authors used only the first 192 of the 768 time frames for an acceleration of factor 4 in the temporal dimension similar to . The authors employed a GCN to accelerate highresolution 3D MRF along the partition-encoding direction achieving acceleration factors up to 6. The performance of the . . .
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