Accelerated Microstructure Imaging via Convex Optimization (AMICO) from diffusion MRI data
École Polytechnique Fédérale de Lausanne · University of Lausanne · +6 more institutions
Abstract
Microstructure imaging from diffusion magnetic resonance (MR) data represents an invaluable tool to study non-invasively the morphology of tissues and to provide a biological insight into their microstructural organization. In recent years, a variety of biophysical models have been proposed to associate particular patterns observed in the measured signal with specific microstructural properties of the neuronal tissue, such as axon diameter and fiber density. Despite very appealing results showing that the estimated microstructure indices agree very well with histological examinations, existing techniques require computationally very expensive non-linear procedures to fit the models to the data which, in…
Citation impact
- FWCI
- 16.81
- Percentile
- 100%
- References
- 72
Authors
6- ADAlessandro DaducciCorresponding
École Polytechnique Fédérale de Lausanne, University of Lausanne
- EJErick J. Canales‐Rodríguez
Centro de Investigación Biomédica en Red de Salud Mental, Fidmag Sisters Hospitallers, Hospital Mare de Déu de la Mercè
- HZHui Zhang
University College London
- TBTim B. Dyrby
Hvidovre Hospital, Copenhagen University Hospital
- DCDaniel C. Alexander
University College London
Topics & keywords
- Computer science
- Diffusion MRI
- Linearization
- Microstructure
- Convex optimization
- Algorithm
- Regular polygon
- Artificial intelligence