Difference between revisions of "2017 Winter Project Week/LiverResectionPlanning"

Revision as of 16:10, 13 January 2017

Home < 2017 Winter Project Week < LiverResectionPlanning

Objective	Approach and Plan	Progress and Next Steps
To create an extension that allows surgeons to create 3D models and plan liver resection surgeries. This extension will contain modules for segmenting parts of the liver (parenchyma, tumours, portal and hepatic veins), as well as a module for creating a resection plan in the resulting 3D model.	Possible need for special type of model node when importing / saving data? (have a vtkMRMLResectionSurfaceNode, which will contain a list of control points for the resection surface) Refactoring current modules to improve code and fit into extensions structure	Using VTK field data to store / retrieve extra information for resection surfaces Structure in place for loading / saving resection surfaces (resectionSurfaceNodes inheriting from modelNode, reader, registering IO...) Fruitful discussions: Learnt more about options for customizing Slicer Use SegmentationNode to solve issues with needing to load many models Feedback on modules, should try to generalize the vessel segmentation to be usable on other images (not just contrast enhanced CT of the liver)

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 <!-- Progress and Next steps bullet points (fill out at the end of project week) -->
-* Future work: Generalize to other types of resections (particularly pancreas)
+* Using VTK field data to store / retrieve extra information for resection surfaces
-* Generally interested in customizing Slicer, as in the future we may tailor slicer for this "pipeline"
+* Structure in place for loading / saving resection surfaces (resectionSurfaceNodes inheriting from modelNode, reader, registering IO...)
+* Fruitful discussions:
+* Learnt more about options for customizing Slicer
+* Use SegmentationNode to solve issues with needing to load many models
+* Feedback on modules, should try to generalize the vessel segmentation to be usable on other images (not just contrast enhanced CT of the liver)
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