Difference between revisions of "2014 Summer Project Week:Tumor DCE-MRI Segmentation"
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*Add support for DCE-MRI data-sets with more than 4 post-contrast time-points and for 4D Multi-Volume images. | *Add support for DCE-MRI data-sets with more than 4 post-contrast time-points and for 4D Multi-Volume images. | ||
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*Add features for intuitive analysis of segmented tumor. | *Add features for intuitive analysis of segmented tumor. | ||
Revision as of 19:41, 20 June 2014
Home < 2014 Summer Project Week:Tumor DCE-MRI Segmentation
Key Investigators
- Vivek Narayan
- Jayender Jagadeesan
Project Description
SegmentCAD module for Slicer (openCAD Extension): Segmentation of Breast Tumors from DCE-MRI images.
Objective
- Add support for DCE-MRI data-sets with more than 4 post-contrast time-points and for 4D Multi-Volume images.
- Implement more sophisticated algorithms for noise reduction
- Add features for intuitive analysis of segmented tumor.
Approach, Plan
- Multiple node input through a dialog box.
- Use established SegmentCAD module framework to test new algorithms using numpy.
- Add GUI features to manually adjust settings and quickly visualize different segmentation outputs.
Progress
- Segmentation for DCE-MRI data-sets with 1 pre-contrast image and 4 post-contrast time-points.
- Segmentation label map further segments tumor-class voxels based on slope ranges of the wash-out curve (persistent, plateau, or washout).
- Interactive graphing of voxel intensity over time at cursor location, and 3D volume rendering of segmentation label map.
