Tensor Decomposition‐Based Multi‐Signal Matrix Pencil Method for Myelin Water Fraction Estimation
A tensor decomposition-based multi-signal matrix pencil method for MWF estimation is presented that integrates spatially informed signal structure while reducing temporal sampling requirements. The proposed framework supports spatially efficient mGRE acquisitions and provides improved robustness and computational efficiency compared to existing voxel-wise approaches.
Authors
- Eva Alonso‐Ortiz (ORCID: https://orcid.org/0000-0001-6590-7234)
- Joseph Suresh Paul (ORCID: https://orcid.org/0000-0002-2896-6072)
- Faheem Arshad (ORCID: https://orcid.org/0000-0002-2102-7937)
- Deepu Kurian (ORCID: https://orcid.org/0009-0007-7611-8813)
Institutions
- University of Kerala (IN)
- Centre Hospitalier Universitaire Sainte-Justine (CA)
- Polytechnique Montréal (CA)
- Indian Institute of Information Technology and Management, Kerala (IN)
- National Institute of Mental Health and Neurosciences (IN)
Publication Details
- Journal
- Magnetic Resonance in Medicine
- Published
- 2026-02-04
- DOI
- https://doi.org/10.1002/mrm.70283
- Primary Topic
- Advanced MRI Techniques and Applications
- Type
- article
- Field-Weighted Citation Impact
- 0.00