In vivo magnetic resonance 31P‐Spectral Analysis With Neural Networks: 31P‐SPAWNN-Reference-Cited by-同舟云学术

In vivo magnetic resonance 31P‐Spectral Analysis With Neural Networks: 31P‐SPAWNN

Published:2022-09-25 Issue:1 Volume:89 Page:40-53
ISSN:0740-3194
Container-title:Magnetic Resonance in Medicine
language:en
Short-container-title:Magnetic Resonance in Med

Author:

Songeon Julien¹^ORCID,Courvoisier Sébastien¹²,Xin Lijing²³^ORCID,Agius Thomas⁴,Dabrowski Oscar¹,Longchamp Alban⁴,Lazeyras François¹²,Klauser Antoine¹²^ORCID

Affiliation:

1. Department of Radiology and Medical Informatics University of Geneva Geneva Switzerland

2. CIBM Center for Biomedical Imaging Geneva Switzerland

3. Animal Imaging and Technology Ecole Polytechnique Fédérale de Lausanne (EPFL) Lausanne Switzerland

4. Department of Vascular Surgery Centre Hospitalier Universitaire Vaudois and University of Lausanne Lausanne Switzerland

Funder

Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung

Publisher

Wiley

Subject

Radiology, Nuclear Medicine and imaging

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/mrm.29446

Reference51 articles.

1. Assessment of absolute metabolite concentrations in human tissue by31P MRSin vivo. Part II: Muscle, liver, kidney

2. Three-dimensional high-resolution magnetic resonance spectroscopic imaging for absolute quantification of31P metabolites in human liver

3. Use of in vivo magnetic resonance spectroscopy for studying metabolic diseases

4. In-Vivo Magnetic Resonance Spectroscopy III: In-Vivo MR Spectroscopy: Potential and Limitations

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