2014 Winter Project Week:CIP Core

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  Projects List

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