Difference between revisions of "2014 Winter Project Week:CIP Core"
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==Key Investigators== | ==Key Investigators== | ||
| − | Raul San Jose, Rola Harmouche, James Ross | + | Raul San Jose, Rola Harmouche, Pietro Nardelli, James Ross |
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==Project Description== | ==Project Description== | ||
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<h3>Progress</h3> | <h3>Progress</h3> | ||
* Private Github repository: https://github.com/acil-bwh/ChestImagingPlatformPrivate | * Private Github repository: https://github.com/acil-bwh/ChestImagingPlatformPrivate | ||
| + | * VTK class has been developed to wrap pull library in Teem. Testing is under progress | ||
| + | * Discuss with QIIR the potential use of DICOM objects and common ontologies to represent anatomical regions and disease states | ||
</div> | </div> | ||
</div> | </div> | ||
Latest revision as of 16:10, 10 January 2014
Home < 2014 Winter Project Week:CIP Core
Key Investigators
Raul San Jose, Rola Harmouche, Pietro Nardelli, James Ross
Project Description
Objective
- The Chest Imaging Platform (CIP) is a general purpose library for analysis of chest images for the characterization of chronic lung diseases. The main objective is to make the tools available to the public by providing a common infrastructure that in turn can be incorporating into Slicer by means of the Slicer CIP library.
- The goal for this week is to consolidate several core functionalities:
- Integration of scale-space particles in VTK.
- Development of the phenotype extraction library in cip_python.
- Explore the integration with ontologies in our chest labelmap definition that employs a region/type coding scheme.
Approach, Plan
- We will wrap Teem functionality within a VTK class to implement scale-space particles.
- Consolidate different phenotype extraction scripts under cid_python.
- Discuss the possibilities of having "rich" labelmaps based on well-defined ontologies.
Progress
- Private Github repository: https://github.com/acil-bwh/ChestImagingPlatformPrivate
- VTK class has been developed to wrap pull library in Teem. Testing is under progress
- Discuss with QIIR the potential use of DICOM objects and common ontologies to represent anatomical regions and disease states
