Improved phosphorus MRSI acquisition through compressed sensing acceleration combined with low-rank reconstruction
We presented a novel combined CS-LR acceleration and reconstruction method for FID-MRSI sequences, utilizing a unique approach to k-space undersampling. Our proposed method has demonstrated promising results in enhancing the SNR making it applicable for reducing acquisition time.
Authors
- Julien Songeon (ORCID: https://orcid.org/0000-0001-8760-6862)
- Thomas Agius (ORCID: https://orcid.org/0000-0001-6917-0831)
- Oscar Dabrowski (ORCID: https://orcid.org/0000-0003-4092-0568)
- Alban Longchamp (ORCID: https://orcid.org/0000-0002-1743-4935)
- François Lazeyras (ORCID: https://orcid.org/0000-0002-9364-0634)
- Sébastien Courvoisier (ORCID: https://orcid.org/0000-0001-9309-4154)
- Christian Toso (ORCID: https://orcid.org/0000-0003-1652-4522)
- Antoine Klauser (ORCID: https://orcid.org/0000-0003-3019-9914)
- Raphaël Ruttimann
Institutions
- University of Geneva (CH)
- University Hospital of Geneva (CH)
- Centre d'Imagerie BioMedicale (CH)
- University of Lausanne (CH)
Publication Details
- Journal
- Magnetic Resonance Materials in Physics Biology and Medicine
- Published
- 2024-12-27
- DOI
- https://doi.org/10.1007/s10334-024-01218-y
- Primary Topic
- Advanced MRI Techniques and Applications
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Science Foundation
- Nvidia
- Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung
- Université de Genève