News
Members
Publications
Software / Data
Job offers
Images / Videos
Collaborations
Conferences
Lab meetings: "Les partages de midi"
Practical information
Members Area
Next conferences we are in …
This shows you the differences between two versions of the page.
Next revision | Previous revision | ||
activities:theme1:dbscomp [2017/12/14 11:11] mperalta created |
activities:theme1:dbscomp [2018/01/17 13:56] mperalta |
||
---|---|---|---|
Line 6: | Line 6: | ||
===== Members ===== | ===== Members ===== | ||
- | Rennes MediCIS | + | __Rennes MediCIS__ |
* [[members:pierre.jannin:index|Pierre Jannin]] - Principal Investigator | * [[members:pierre.jannin:index|Pierre Jannin]] - Principal Investigator | ||
* [[members:bernard.gibaud:index|Bernard Gibaud]] | * [[members:bernard.gibaud:index|Bernard Gibaud]] | ||
* [[members:claire.haegelen:index|Claire Haegelen]] - Neurosurgeon | * [[members:claire.haegelen:index|Claire Haegelen]] - Neurosurgeon | ||
* [[members:maxime.peralta:index|Maxime Peralta]] - PhD | * [[members:maxime.peralta:index|Maxime Peralta]] - PhD | ||
- | Paris ICM | + | __Paris ICM__ |
- | * Eric BARDINET | + | * Eric Bardinet |
- | * Sara FERNANDEZ-VIDAL | + | * Sara Fernandez Vidal |
- | * Jerome YELNIK | + | * Jerome Yelnik |
- | * Marie-Laure WELTER | + | * Marie-Laure Welter |
- | * Carine Karachi | + | * Carine Karachi |
- | Paris Neurospin | + | __Paris Neurospin__ |
* Cyril Poupon | * Cyril Poupon | ||
* Achille Teillac | * Achille Teillac | ||
* Justine Beaujoin | * Justine Beaujoin | ||
- | Boston BWH | + | __Boston BWH__ |
- | * Sonia PUJOL | + | * Sonia Pujol |
- | * Ryan Cabeen | + | |
===== Description ===== | ===== Description ===== | ||
- | Surgical education relies on an old "see one, do one (and teach one)" paradigm. It is now expected that surgical education should rely on computer based systems with simulation capabilities. All aspects about the surgical decision making processes should be part of such computer based teaching systems. Various researchers emphasized the importance of both conceptual and procedural knowledge in the decision making process. Some are explicit (mainly data, information and knowledge about the patient) and some are implicit, such as the surgical process expertise. A surgical teaching system should take into consideration such procedural knowlegde and expertise. The main objective of this project is to study methods allowing modelling the surgical procedural knowledge from surgical cases observations. | + | The objective of this project is to develop an innovative computational medical imaging strategy for optimizing clinical outcome of Deep Brain Stimulation (DBS) for Parkinson’s disease. We aim at developing models that outline relationships between structure and function of the basal ganglia and its surroundings based on population and patient specific analysis of multimodal data. |
- | + | Knowing from post operative images where the electrode and the activated contact are, fiber tracts activated by DBS will be correlated to function and clinical data including electro-physiological signals acquired during surgery and clinical scores. For such purpose, we will propose a new adapted tractography approach from Diffusion Tensor Imaging. Additionally, we will study non-linear machine learning approaches to express such correlation and validate it on clinical data sets. The resulting models will allow both prediction and understanding of clinical outcome and side effects. | |
- | In this project we propose to study a solution for the computation of surgical procedural knowledge models from recordings of individual procedures, and their execution. We propose to study and adapt the methods developed by MediCIS, S4, and VR4i for computing, from individual recordings of procedures, surgical procedural knowledge models and representing and simulating them. The objective is to develop an enabling technology for procedural knowledge based surgical simulation systems. In this project, we demonstrate its potential added value for high-level abstraction teaching applications. | + | |
- | + | ||
- | The project is divided into two tasks. The first task aims at studying methods for computing and representing generic surgical process models from a population of individual descriptions of surgical procedures represented by patient specific surgical process models. The second task aims at studying and adapting simulation engines for the execution of generic process models and finally studying the efficacy of the global approach on a specific application (i.e., surgical teaching). | + | |
+ | {{:activities:theme1:image_tracto.png?600|}} | ||
+ | //Crossings of the pyramidal pathway with subthalamo-pallidal and pallido-subthalamic fibers (MC-det approach) in HCP subject 100307. Source: In vivo Exploration of the Connectivity between the Subthalamic Nucleus and the Globus Pallidus in the Human Brain Using Multi-Fiber Tractography, Pujol et al.// |