Adaptively weighted learning method for magnetic resonance fingerprinting
Abstract In magnetic resonance fingerprinting, every fingerprint evolution is the combined result of multiple intrinsic parameters (such as T1 and T2) and system parameters. Present learning‐based methods do not fully take into consideration of the diversity of parameters, which averages multiple pa...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2022-08-01
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| Series: | IET Image Processing |
| Online Access: | https://doi.org/10.1049/ipr2.12526 |