Difference between revisions of "Slicer3:UIDesign:WorkingProblems:BCAnalysis:PET"
From Slicer Wiki
Line 37: | Line 37: | ||
** sum of SUV_followup | ** sum of SUV_followup | ||
** percent change | ** percent change | ||
+ | |||
+ | == Approach == | ||
+ | Started a PET_SUV module in Slicer that | ||
+ | * lets you choose a pre-treatment pet volume | ||
+ | * lets you choose a post-treatment CT volume (if present) | ||
+ | * lets you choose pre & post-treatment label maps. | ||
+ | * displays them in FG/BG with correct LUT | ||
+ | * pulls parameters of interest for SUV calculation from DICOM header | ||
+ | * has entry widget for parameters missing from header | ||
+ | * computes measures of interest as described above. | ||
+ | * no special viewer for now. | ||
+ | * ... | ||
== Display to use as reference for dev == | == Display to use as reference for dev == | ||
[[image:PETSUV.jpg]] | [[image:PETSUV.jpg]] |
Revision as of 20:06, 25 August 2009
Home < Slicer3:UIDesign:WorkingProblems:BCAnalysis:PETBack to Project Overview
Contents
SUV 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.
PET SUV Analysis Workflow
- Segment the tumor by hand (ROI or VOI, can be simple circle or ellipsoid)
- Compute SUV of baseline
- extract parameters from dicom header including
- concentration
- injected activity
- patient weight
- SUV = ( concentration (microcuries/cc) / injected activity (microcuries) ) - (patient weight (g))
- use maximum value
- extract parameters from dicom header including
- Compute SUV of followup
- extract parameters from dicom header including
- concentration
- injected activity
- patient weight
- SUV = ( concentration (microcuries/cc) / injected activity (microcuries) ) - (patient weight (g))
- use maximum value
- extract parameters from dicom header including
- Normalize ROI by SUVmax
- Resport parameters of interest
- SUVmax_baseline,
- SUVmax_followup,
- % change
- For multiple tumors, report
- sum of SUV_baselines
- sum of SUV_followup
- percent change
Approach
Started a PET_SUV module in Slicer that
- lets you choose a pre-treatment pet volume
- lets you choose a post-treatment CT volume (if present)
- lets you choose pre & post-treatment label maps.
- displays them in FG/BG with correct LUT
- pulls parameters of interest for SUV calculation from DICOM header
- has entry widget for parameters missing from header
- computes measures of interest as described above.
- no special viewer for now.
- ...