Circumventing the curse of dimensionality in magnetic resonance fingerprinting through a deep learning approach-Reference-Cited by-同舟云学术

Circumventing the curse of dimensionality in magnetic resonance fingerprinting through a deep learning approach

Published:2022-01-27 Issue:4 Volume:35 Page:
ISSN:0952-3480
Container-title:NMR in Biomedicine
language:en
Short-container-title:NMR in Biomedicine

Author:

Barbieri Marco¹²^ORCID,Lee Philip K.³^ORCID,Brizi Leonardo¹⁴^ORCID,Giampieri Enrico⁵^ORCID,Solera Francesco⁶^ORCID,Castellani Gastone⁵^ORCID,Hargreaves Brian A.²³⁷^ORCID,Testa Claudia¹⁸^ORCID,Lodi Raffaele⁸⁹^ORCID,Remondini Daniel¹⁴^ORCID

Affiliation:

1. Department of Physics and Astronomy "Augusto Righi" University of Bologna Bologna Italy

2. Department of Radiology Stanford University California United States

3. Department of Electrical Engineering Stanford University California United States

4. INFN, Sezione di Bologna Bologna Italy

5. Department of Experimental, Diagnostic and Specialty Medicine University of Bologna Bologna Italy

6. Deep Vision Consulting Modena Italy

7. Department of Bioengineering Stanford University California United States

8. IRCCS Istituto delle Scienze Neurologiche di Bologna, Functional and Molecular Neuroimaging Unit Bologna Italy

9. Department of Biomedical and Neuromotor Sciences University of Bologna Bologna Italy

Funder

GE Healthcare

Instituto Nazionale di Fisica Nucleare

Publisher

Wiley

Subject

Spectroscopy,Radiology, Nuclear Medicine and imaging,Molecular Medicine

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/nbm.4670

Reference51 articles.

1. Magnetic resonance fingerprinting

2. MR Vascular Fingerprinting in Stroke and Brain Tumors Models

3. MR Fingerprinting for Rapid Quantitative Abdominal Imaging

4. Three-dimensional MR Fingerprinting for Quantitative Breast Imaging

5. MR fingerprinting using fast imaging with steady state precession (FISP) with spiral readout

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