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Grid-Enabling Medical Applications
The goal of this task is to adapt the medical image processing algorithms needed by our four applications to an interactive grid, and conversely to define the requirements of an interactive grid through the different interaction levels.
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Evaluation of registration algorithms
Registration aims at finding the correspondence between points of different images, e.g. same patient acquired at different times, or with different modalities. Grids acces to algorithms and benchmark data might improve development and selection of registration algorithms. Four actions will be developed.
- Inter-operability for rigid registration algorithms
- Inter-operability and interactivity of non-rigid registration algorithms
- Pre-clinical validation with bronze standard methodology
- A grid registration service for brain oncology
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Interactive volume reconstruction
The goal of this task is to grid-enable the PTM3D software, both for clinical validation and as a modular testbed for the CMS software and protocols.
PTM3D achieves real-time reconstruction of tumours or calculi on a PC. gPTM3D will provide interactive reconstruction of much larger datasets.
The challenge is to smoothly integrate local and remote computing. The radiologist wants a unique tool, to browse the images, to measure a tumor, to reconstruct a complex organ or to create an augmented reality situation. more
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3D Cardiac image segmentation for improved heart disease diagnosis
| Cardiac sequences segmentation is based on an heart biventricular deformable elastic template. This finite elements model is embedded inside the sequence to segment and iteratively evolves from its original shape to a patient specific shape by taking into account the cardiac wall points detected through a basic contour detection operator. The goal of this task will be to parallelise it to take advantage of the grid computing power, while preserving interactive access to improve segmentation results more... |
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Humanitarian Medical Development
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Grid technology opens new perspectives for preparation and follow-up of medical missions in developing countries as well as support to local medical centres in terms of teleconsulting, telediagnosis and patient follow-up. This task will deploy a grid-based federation of databases in several hospitals in France (CHU Gabriel Montpied, Clermont-Ferrand) and in China (Hospital n°9, Shanghaï, Chuxiong district hospital) using the technology developed in the Medical Data Management task.
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