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- Document type:
- Zeitschriftenaufsatz
- Author(s):
- Golbabaee, M.; Chen, D.; Gómez, PA.; Menzel, MI.; Davies, M.E.
- Title:
- A deep learning approach for magnetic resonance fingerprinting
- Abstract:
- Current popular methods for Magnetic Resonance Fingerprint (MRF) recovery are bottlenecked by the heavy storage and computation requirements of a matched-filtering step due to the growing size and complexity of the fingerprint dictionaries in multi-parametric quantitative MRI applications. In this abstract we investigate and evaluate advantages of a deep learning approach for embedding the manifold of solutions of the Bloch equations and to address these shortcomings.
- Keywords:
- MedicalImaging,IBBM
- Journal title:
- iTWIST: international Traveling Workshop on Interactions between low-complexity data models and Sensing Techniques
- Year:
- 2018
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