Name
Title | ||
|---|---|---|
ProMiSi Architecture - A Tool for the Estimation of the Progression of Multiple Sclerosis Disease using MRI |
Abstract | ||
|---|---|---|
The aim of this work is to present the architecture of the ProMiSi tool, a software for the analysis of magnetic resonance imaging and the extraction of information on the progression of multiple sclerosis disease. ProMiSi is based on the automatic processing, segmentation and post-processing of MRI for the automatic labeling, visualization and volumetric quantification of segmentable brain structures from magnetic resonance image. The combination of the above mentioned volumetric results with other type of information (e.g. clinical, demographic etc.), through autonomous learning intelligent techniques, allows the evaluation of the severity and the progress prediction of the multiple sclerosis and consequently the personalized management of the disease. A proof of concept study with 30 patients will take place for the validation of the algorithms, while ProMiSi will be evaluated in terms of functionality, usability, reliability, performance and supportability. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1109/BIBE.2019.00058 | 2019 IEEE 19th International Conference on Bioinformatics and Bioengineering (BIBE) |
Keywords | Field | DocType |
MRI, segmentation, multiple sclerosis, progression estimation | Disease,Visualization,Computer science,Segmentation,Usability,Multiple sclerosis,Software,Proof of concept,Artificial intelligence,Machine learning,Magnetic resonance imaging | Conference |
ISSN | ISBN | Citations |
2159-5410 | 978-1-7281-4618-8 | 0 |
PageRank | References | Authors |
0.34 | 0 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Evanthia E. Tripoliti | 1 | 85 | 12.71 |
| Styliani Zelilidou | 2 | 0 | 0.34 |
| Dimitrios I. Fotiadis | 3 | 0 | 4.39 |
| Spyridon Konitsiotis | 4 | 0 | 0.34 |
| D I Fotiadis | 5 | 4 | 1.22 |