Better than Real: Complex-valued Neural Nets for MRI Fingerprinting

ICIP, pp. 3953-3957, 2017.

Cited by: 54|Bibtex|Views8|Links
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Abstract:

The task of MRI fingerprinting is to identify tissue parameters from complex-valued MRI signals. The prevalent approach is dictionary based, where a test MRI signal is compared to stored MRI signals with known tissue parameters and the most similar signals and tissue parameters retrieved. Such an approach does not scale with the number of...More

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