Enhanced Spinal Cord Lesion Detection in MS Using White-Matter-Nulled 3D MPRAGE with Deep Learning Reconstruction
The 3D WMn sequence associated with deep learning-based denoising significantly improves SC lesion detection, outperforming all conventional sequences. Three-dimensional WMn represents, then, a promising alternative for SC imaging in MS.
Authors
- Jean‐Christophe Ouallet (ORCID: https://orcid.org/0000-0003-3231-6416)
- Takayuki Yamamoto (ORCID: https://orcid.org/0000-0003-0306-3691)
- Hikaru Fukutomi (ORCID: https://orcid.org/0000-0003-4262-3890)
- Aurélie Ruet (ORCID: https://orcid.org/0000-0002-0020-8739)
- Vincent Dousset (ORCID: https://orcid.org/0000-0003-0427-3236)
- Pauline Buissonnière
- Fanny Munsch (ORCID: https://orcid.org/0000-0002-7144-8617)
- Thomas Tourdias (ORCID: https://orcid.org/0000-0002-7151-6325)
- Bei Zhang (ORCID: https://orcid.org/0000-0001-8113-3988)
- M. Lacoste
- Amaury Ravache
Institutions
- Université de Bordeaux (FR)
- Inserm (FR)
- Kyoto University (JP)
- Centre Hospitalier Universitaire de Bordeaux (FR)
- Hewlett-Packard (Netherlands) (NL)
- Kansai Electric Power Hospital (JP)
- Neurocentre Magendie (FR)
- Institut de Biochimie et Génétique Cellulaires (FR)
Publication Details
- Journal
- American Journal of Neuroradiology
- Published
- 2025-12-11
- DOI
- https://doi.org/10.3174/ajnr.a8950
- Primary Topic
- Medical Imaging and Analysis
- Type
- article
- Field-Weighted Citation Impact
- 0.00