Difference between revisions of "2013 Summer Project Week:Analyzing Breast Tumor Heterogeneity Using 3D Slicer"
From NAMIC Wiki
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* BWH: Jayender Jagadeesan, Tobias Penskofer, Eva Gombos | * BWH: Jayender Jagadeesan, Tobias Penskofer, Eva Gombos | ||
| + | <div style="margin: 20px;"> | ||
| + | <div style="width: 27%; float: left; padding-right: 3%;"> | ||
<h3>Objective</h3> | <h3>Objective</h3> | ||
We will develop a module in 3D Slicer to segment breast tumors and quantify their heterogeneity. Based off the heterogeneity of the breast tumors, we will categorize them as invasive ductal carcinoma, ductal carcinoma in situ, or fibroadenoma. | We will develop a module in 3D Slicer to segment breast tumors and quantify their heterogeneity. Based off the heterogeneity of the breast tumors, we will categorize them as invasive ductal carcinoma, ductal carcinoma in situ, or fibroadenoma. | ||
| − | + | </div> | |
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<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> | ||
| − | + | Our approach for is to segment breast tumors using curve-analysis. | |
| − | Our approach for is to segment | ||
| − | |||
Our plan for the project week is to develop the module to segment tumors and determine their heterogeneity. | Our plan for the project week is to develop the module to segment tumors and determine their heterogeneity. | ||
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</div> | </div> | ||
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<h3>Progress</h3> | <h3>Progress</h3> | ||
| + | * We have developed a module called "OpenCAD" in 3D Slicer to automatically segment breast tumors. | ||
| + | * The module computes the regions of enhanced perfusion using the curve analysis method and overlays a mask on the DCE-MRI. | ||
| + | * The threshhold for initial increase and washout of contrast can be adjusted. | ||
| + | * Label statistics has also been included in the module to compute volume of tumor exhibiting Type I, II and III curves. | ||
| + | * Heterogeneity metric is also being implemented. We are working on evaluating the clinical relevance of this metric. | ||
| + | </div> | ||
| + | </div> | ||
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| + | ==Delivery Mechanism== | ||
| − | + | This work will be delivered to the NA-MIC Kit as part of OpenIGTLink IF module. | |
| + | |||
| + | ==References== | ||
Revision as of 10:47, 21 June 2013
Home < 2013 Summer Project Week:Analyzing Breast Tumor Heterogeneity Using 3D Slicer
Key Investigators
- Boston College: Sneha Dugapal
- RPI: Vivek Narayan
- BWH: Jayender Jagadeesan, Tobias Penskofer, Eva Gombos
Objective
We will develop a module in 3D Slicer to segment breast tumors and quantify their heterogeneity. Based off the heterogeneity of the breast tumors, we will categorize them as invasive ductal carcinoma, ductal carcinoma in situ, or fibroadenoma.
Approach, Plan
Our approach for is to segment breast tumors using curve-analysis. Our plan for the project week is to develop the module to segment tumors and determine their heterogeneity.
Progress
- We have developed a module called "OpenCAD" in 3D Slicer to automatically segment breast tumors.
- The module computes the regions of enhanced perfusion using the curve analysis method and overlays a mask on the DCE-MRI.
- The threshhold for initial increase and washout of contrast can be adjusted.
- Label statistics has also been included in the module to compute volume of tumor exhibiting Type I, II and III curves.
- Heterogeneity metric is also being implemented. We are working on evaluating the clinical relevance of this metric.
Delivery Mechanism
This work will be delivered to the NA-MIC Kit as part of OpenIGTLink IF module.
