Difference between revisions of "2014 Winter Project Week:CIP Core"
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* 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 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: | * The goal for this week is to consolidate several core functionalities: | ||
| − | ** Integration of scale-space particles in VTK | + | ** Integration of scale-space particles in VTK. |
| − | ** Development of the phenotype extraction library in cip_python | + | ** Development of the phenotype extraction library in cip_python. |
| − | ** Explore the integration with ontologies in | + | ** Explore the integration with ontologies in our chest labelmap definition that employs a region/type coding scheme. |
</div> | </div> | ||
<div style="width: 27%; float: left; padding-right: 3%;"> | <div style="width: 27%; float: left; padding-right: 3%;"> | ||
<h3>Approach, Plan</h3> | <h3>Approach, Plan</h3> | ||
| − | * We will | + | * 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. | ||
</div> | </div> | ||
<div style="width: 27%; float: left; padding-right: 3%;"> | <div style="width: 27%; float: left; padding-right: 3%;"> | ||
Revision as of 01:25, 3 January 2014
Home < 2014 Winter Project Week:CIP Core
Key Investigators
Raul San Jose, Rola Harmouche, 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.
