SynthSR: A public AI tool to turn heterogeneous clinical brain scans into high-resolution T1-weighted images for 3D morphometry
Athinoula A. Martinos Center for Biomedical Imaging · University College London · +4 more institutions
Abstract
Every year, millions of brain magnetic resonance imaging (MRI) scans are acquired in hospitals across the world. These have the potential to revolutionize our understanding of many neurological diseases, but their morphometric analysis has not yet been possible due to their anisotropic resolution. We present an artificial intelligence technique, “SynthSR,” that takes clinical brain MRI scans with any MR contrast (T1, T2, etc.), orientation (axial/coronal/sagittal), and resolution and turns them into high-resolution T1 scans that are usable by virtually all existing human neuroimaging tools. We present results on segmentation, registration, and atlasing of >10,000 scans of controls and patients with brain…
Citation impact
- FWCI
- 21.35
- Percentile
- 100%
- References
- 84
Authors
10- JEJuan Eugenio IglesiasCorresponding
Athinoula A. Martinos Center for Biomedical Imaging, University College London, Massachusetts Institute of Technology
- BBBenjamin Billot
University College London
- YBYaël Balbastre
Athinoula A. Martinos Center for Biomedical Imaging
- CMColin Magdamo
Harvard University, Massachusetts General Hospital
- SESteven E. Arnold
Harvard University, Massachusetts General Hospital
Topics & keywords
- Neuroimaging
- Coronal plane
- Magnetic resonance imaging
- Brain morphometry
- Human brain
- High resolution
- Segmentation
- Orientation (vector space)