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Abstract #3482

Fostering Confidence: Evaluating the Reproducibility and Reliability of Bingham-NODDI Model Measures on Different 3.0 T MRI Scanners

Noemi Sgambelluri1,2, Mattia Ricchi2,3,4, Damian J. Tyler2, Claudia Testa1,4, and James T. Grist2,5
1Department of Physics and Astronomy, University of Bologna, Bologna, Italy, 2Oxford Centre for Clinical Magnetic Resonance Research, University of Oxford, Oxford, United Kingdom, 3Department of Computer Science, University of Pisa, Pisa, Italy, 4INFN, Division of Bologna, Bologna, Italy, 5Department of Radiology, Oxford University Hospitals, Oxford, United Kingdom

Synopsis

Keywords: Diffusion Modeling, Microstructure, Multicenter study, multicenter phantom study, multicenter stability assessment of Bingham-NODDI model, Bingham-NODDI model, NODDI model

Motivation: The NODDI model has been proven to be a powerful tool, however it struggles to depict complex brain neurite structures.


Goal(s): The Bingham-NODDI model offers a more detailed approach for capturing pathological-related brain changes, although its validation is still ongoing. This study aims to make progress in this direction.

Approach: To assess the Bingham-NODDI model's reliability across different MRI scanner systems, this study uses a consistent acquisition protocol, fostering the model's robustness.

Results: The outcomes confirm Bingham-NODDI model’s reliability, promising potential clinical applications. By enhancing generalizability and validation, this research clears the path for improved diagnostic and research tools in neuroscience.


Impact: The Bingham-NODDI model offers valuable insights into brain microstructure changes. Its integration into clinical practice alongside medical teams and neuroscientists is highly promising. This multi-center study advances this goal by assessing model stability, fostering future collaborations between scientistis and clinicians.

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Keywords