| People | Locations | Statistics |
|---|---|---|
| Naji, M. |
| |
| Motta, Antonella |
| |
| Aletan, Dirar |
| |
| Mohamed, Tarek |
| |
| Ertürk, Emre |
| |
| Taccardi, Nicola |
| |
| Kononenko, Denys |
| |
| Petrov, R. H. | Madrid |
|
| Alshaaer, Mazen | Brussels |
|
| Bih, L. |
| |
| Casati, R. |
| |
| Muller, Hermance |
| |
| Kočí, Jan | Prague |
|
| Šuljagić, Marija |
| |
| Kalteremidou, Kalliopi-Artemi | Brussels |
|
| Azam, Siraj |
| |
| Ospanova, Alyiya |
| |
| Blanpain, Bart |
| |
| Ali, M. A. |
| |
| Popa, V. |
| |
| Rančić, M. |
| |
| Ollier, Nadège |
| |
| Azevedo, Nuno Monteiro |
| |
| Landes, Michael |
| |
| Rignanese, Gian-Marco |
|
Pizzolato, Marco
Technical University of Denmark
in Cooperation with on an Cooperation-Score of 37%
Topics
Publications (4/4 displayed)
- 2022Perovskites and exsolution: new catalysts for Methane Dry Reforming reaction
- 2021A novel in silico phantom for microstructure, tractography and quantitative connectivity estimation
- 2021The Microstructural Features of the Diffusion-Simulated Connectivity (DiSCo) Datasetcitations
- 2020High frequency guided wave propagation in monocrystalline silicon waferscitations
Places of action
| Organizations | Location | People |
|---|
document
A novel in silico phantom for microstructure, tractography and quantitative connectivity estimation
Abstract
In this work, we propose a novel phantom obtained from Monte-Carlo simulations of spins dynamics to improve testing and validation of DW-MRI quantitative structural connectivity. The DiSCo (Diffusion-Simulated Connectivity) phantom is composed of 16 regions of interest placed on a sphere of 1 millimeter in diameter, interconnected by 12,196 axon-like tubular fibers ranging from 1.4um to 4.2um in diameter. Its associated connectivity matrix is weighted by their cross-sectional areas. This in silico phantom, with both microscopic and macroscopic complexity, aims at improving the development and the validation ofwhite matter connectivity estimation methods.