SynSpine: an automated workflow for the generation of longitudinal spinal cord synthetic MRI data
This work presents a novel and modular framework for simulating spinal cord atrophy data using digital phantoms, offering a controlled setting for testing spinal cord analysis pipelines. As the simulated atrophy may over-simplify <i>in vivo</i> conditions, future research will focus on enhancing the realism of the synthetic dataset by simulating additional pathologies, thus improving its application for evaluating spinal cord atrophy in clinical and research contexts.
Authors
- Massimo Filippi (ORCID: https://orcid.org/0000-0002-5485-0479)
- Licínio Craveiro (ORCID: https://orcid.org/0000-0002-8841-8035)
- Paola Valsasina (ORCID: https://orcid.org/0000-0001-5390-2655)
- Marco Ganzetti (ORCID: https://orcid.org/0000-0002-7049-171X)
- Ferrán Prados (ORCID: https://orcid.org/0000-0002-7872-0142)
- Frederik Barkhof (ORCID: https://orcid.org/0000-0003-3543-3706)
- Maria Assunta Rocca (ORCID: https://orcid.org/0000-0003-2358-4320)
Institutions
- Roche (Switzerland) (CH)
- Universitat Oberta de Catalunya (ES)
- Vita-Salute San Raffaele University (IT)
- The London College (GB)
- National Hospital for Neurology and Neurosurgery (GB)
- Amsterdam University Medical Centers (NL)
- Istituti di Ricovero e Cura a Carattere Scientifico (IT)
- Istituto di Ricovero e Cura a Carattere Scientifico San Raffaele (IT)
- University College London (GB)
- Vrije Universiteit Amsterdam (NL)
Publication Details
- Journal
- Frontiers in Neuroinformatics
- Published
- 2025-12-17
- DOI
- https://doi.org/10.3389/fninf.2025.1649440
- Primary Topic
- Spinal Cord Injury Research
- Type
- article
- Field-Weighted Citation Impact
- 0.00