Slicer3:UIDesign:WorkingProblems:BCAnalysis:Dynamic

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Perfusion Analysis for Breast Cancer

Goal

Goal is to accommodate basic RECIST assessment for breast cancer (Response Evaluation Criteria In Solid Tumors). (RECIST is a set of published rules that define when cancer patients improve ("respond"), stay the same ("stable") or worsen ("progression") during treatments).

• Determine features that currently exist in Slicer
• Develop features that don't
• Provide a framework that knits features together in a comfortable workflow.

Perfusion Analysis Workflow

• Visualize the dataset dynamically
• Specify an ROI that includes tumor and apply to all timepoints Question: ROI or VOI? (either -- if slice, must be same slice)
• Plot contrast dilution curve
  • show time to peak in tumor
• Specify an ROI that includes blood pool and apply to all timepoints Question: again, ROI or VOI?
• Plot contrast dilution curve for this (on same graph)
  • show time to peak in blood pool
• show transit time (distance between peaks in each plot)
• save out timepoints ( Intensity(t) for each ROI -- include multiple tumors if desired)

First experiment

Below is a screenshot of first perfusion dataset. The dataset contains upward of 900 volumes. Loading the original DICOM images took a very long time; Junichi converted these images to nrrd format, but the loading still takes prohibitively long, and interacting is also very slow.

ideas:

• can we create a VOI and apply to each volume in the timeseries?
• Alternatively, for a first demo we can use a smaller dataset?

Also, I'm having difficulty building the 4DImage analysis package (seems numpy includes not found)... will ask Junichi for his input.