2015 Summer Project Week:LungCAD

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  Projects List

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Key Investigators

• Jayender Jagadeesan (BWH)
• Tobias Penskofer (Charite, Berlin)
• Sandy Wells (BWH)
• Clara Meiner (previously BWH)
• Raul San Jose Estepar (BWH)

Project Description

Objective

• Develop a module in 3D Slicer to segment the ground glass opacity (GGO) tumor, apply HeterogeneityCAD to obtain imaging metrics and classify the GGO.
• Provide the module as an extension part of OpenCAD

Approach, Plan

• Implement a simple region growing algorithm
• Apply HeterogeneityCAD module
• Use predetermined SVM classifier to decide the lesion type

Progress

• Completed analysis for 248 GGOs and trained SVM with an accuracy of 89% to classify GGOs
• Developed the framework for the LungCAD module in Slicer
• Evaluated the Lesion segmentation algorithm as part of the Chest Imaging Platform
• Segmentation works well and is able to prevent the segmentation of vessels running through the lesion
• LungCAD calls Lesion Segmentation CLI for segmentation and HeterogeneityCAD to evaluate features
• Pre-processed SVM will be utilized to classify the GGOs