medInria Training Workshop Program
Monday 18th November
9:30-10:30 medInria presentation, exemple plug-in
10:30-11:00 coffee break
11:00-12:30 projects presentation
12:30-14:00 lunch break
14:00:17:30 group work
Tuesday -> Thursday: 9:30-17:30 group work / hackfest (debriefing at 9:30 of the previous day)
Friday morning: wrap up and roadmap
- King's College London, UK (Rostislav Khlebnikov, Alberto Gomez): - Hakim Fadil
- vessel modelling: 2D segmentation, creation of an analytical model (instead of a discrete surface triangulation), and an interface with mesh generation software.
- flow quantification from 3D Doppler: read images (B-Mode & Colour Doppler), select spherical surface through which to compute the flow. Select some parameters (sliders, checkbuttons, etc.) Select a ROI on a 2D plane.
- Aramis, ICM, Paris, France (François Touvet): - Guillaume Pasquier, Olivier Commowick
- electrode implant guidance for Parkinson: viewer over Python scripts for per-op use. Generation and visualisation of meshes. Determine position of a point with respect to a mesh (inside / outside / on the surface)
- Follow the implant in the image: update the position in real-time
- store the recordings within a database
- Eindhoven University of Technology, Netherlands (Lena Filatova): - Loic Cadour
- 2D tagged MRI analysis: optic flow and local frequency based methods for tagged MRI images in order to obtain strains in the heart muscle. Thus Gabor filters and transforms, Gaussian derivatives, etc. will be used. The results will be visualized in strain plots, bull's eye, etc. Read the sequence of images from DICOM, choose the ROI and make muscle segmentation. In the end, the results should be exported as plots and tables of values.
- University College London, UK (Nicolas Toussaint, Miklos Espak):
- NifTK interoperability, XNAT databasing, DICOM
- Universitat Pompeu Fabra, Barcelona, Spain (Carlos Yagüe, David Soto): - Loic Cadour
- 3D tagged MRI analysis with 4D TDFFD
- IHU LIRYC, Bordeaux, France (Mathilde Merle): - René-Paul Debroize
- atrial fibrose interpolation / super-resolution plugin