Non-invasive Personalisation of Cardiac Electrophysiological Models from Surface Electrograms

Autor: Giffard-Roisin, Sophie

Publikováno v: Medical Imaging. Université côte d'azur, 2017. English
Other. Université Côte d'Azur, 2017. English. ⟨NNT : 2017AZUR4092⟩

The objective of this thesis is to use non-invasive data (body surface potentialmapping, BSPM) to personalise the main parameters of a cardiac electrophysiological(EP) model for predicting the response to cardiac resynchronization therapy(CRT). CRT i

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::f6f9e468d044e427a0d5dd7a776cd53b
https://hal.inria.fr/tel-01658489

Simulating Longitudinal Brain MRIs with Known Volume Changes and Realistic Variations in Image Intensity

Autor: Bishesh, Khanal, Nicholas, Ayache, Xavier, Pennec

Publikováno v: Frontiers in Neuroscience

This paper presents a simulator tool that can simulate large databases of visually realistic longitudinal MRIs with known volume changes. The simulator is based on a previously proposed biophysical model of brain deformation due to atrophy in AD. In

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=pmid________::3e7c6041f31c831e07802d318d5a7931
https://pubmed.ncbi.nlm.nih.gov/28381986

Simulating Longitudinal Brain MRIs with Known Volume Changes and Realistic Variations in Image Intensity.

Autor: Khanal B; Asclepios, INRIA Sophia Antipolis Mediterrané Sophia Antipolis, France., Ayache N; Asclepios, INRIA Sophia Antipolis Mediterrané Sophia Antipolis, France., Pennec X; Asclepios, INRIA Sophia Antipolis Mediterrané Sophia Antipolis, France.

Publikováno v: Frontiers in neuroscience [Front Neurosci] 2017 Mar 22; Vol. 11, pp. 132. Date of Electronic Publication: 2017 Mar 22 (Print Publication: 2017).