Difference between revisions of "Slicer3:UIDesign:WorkingProblems:BCAnalysis:Volumetric"
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== Goal== | == Goal== | ||
− | Goal is to accommodate basic RECIST assessment for | + | Goal is to accommodate basic RECIST assessment for cancer treatment. |
− | * | + | Specifically for volumetric analysis: |
− | * | + | * perform linear measurements |
− | * | + | * perform volumetric measurements |
+ | * test change tracker in cases where linear measurements may not provide clear assessment. | ||
− | == Linear Measurements == | + | == Linear Measurements Workflow Described by Jeffrey Yapp == |
* Scroll through baseline | * Scroll through baseline | ||
Line 19: | Line 20: | ||
* If there are multiple tumors, measure both diams in each tumor and sum to get relative D1(t1) and relative D2(t1) | * If there are multiple tumors, measure both diams in each tumor and sum to get relative D1(t1) and relative D2(t1) | ||
* Perform same measurements D1(t2) and D2(t2) | * Perform same measurements D1(t2) and D2(t2) | ||
− | * | + | * Specific results to report: |
+ | ** Percent change | ||
+ | ** Absolute change | ||
+ | ** '''Question:''' units for these values -- mm! | ||
− | == Volume Measurements == | + | == Approach in Slicer == |
+ | |||
+ | * create a subvolume of target breast for both pre and post treatment timepoints: try to make these two subvolumes match as closely as possible. Ron uses 2-fold oversampling. | ||
+ | * Registration: | ||
+ | ** create transform node | ||
+ | ** perform manual, | ||
+ | ** then affine, | ||
+ | ** then B-spline (modified number of histogram bins to 20) | ||
+ | * run bias field correction on both subvolumes with 10 iterations and skin mask for pre and post separately | ||
+ | * mask out background | ||
+ | * perform histogram matching with "threshold at mean" checked | ||
+ | * Ran diffeomorphic demons on post, took 3 hours, with nice results | ||
+ | * Linear Measurements: | ||
+ | ** scroll to slice with largest diameter Dmax | ||
+ | ** measure Dmax and orthogonal Dmax on both treatment timepoints using the linear measurement widget. | ||
+ | * in Editor module: | ||
+ | ** use threshold paint to segment tumor; or | ||
+ | ** use fastmarching with seeds in the tumor tissue | ||
+ | ** erase any outlying pixels | ||
+ | * in Fiducials module: | ||
+ | ** create two fiducials along longest axis | ||
+ | ** check distance measure between; or | ||
+ | ** eventually use nicole's measurement widget | ||
+ | ** move fiducials to mark orthogonal axis | ||
+ | ** check distance measure between; | ||
+ | * Extra things to do: | ||
+ | ** use the editor quick model to create a model of the gland | ||
+ | ** use the editor to segment the skin (threshold, change island, quick model) | ||
+ | |||
+ | Ron's requests: | ||
+ | |||
+ | * The fiducial text is too large in the fast marching display. The default text size be smaller? | ||
+ | * I was not quite clear on how to create a new label map for doing the skin segmentation. I ended up reusing the fastmarchinglabel and losing that segmentation. | ||
+ | * quickmodel should use the label name as default. | ||
+ | * It would be nice to have short cuts to the add label tools and label statistics tools on the editor page. This would give a cue for beginners where to look for that functionality. | ||
+ | |||
+ | == Volume Measurements Workflow == | ||
+ | * Scroll through dataset and determine tumor with largest diameter. | ||
+ | * Segment largest diameter tumor in baseline '''Question:''' multiple tumors ok? | ||
+ | ** Manual or automatic segmentation OK | ||
+ | * Segment tumor in followup '''Questions:''' Must be same tumor, or largest diameter in followup? multiple tumors ok? (same tumor) | ||
+ | ** Manual or automatic segmentation OK -- but use same method | ||
+ | * Measure: | ||
+ | ** Volume(t1) and Volume(t2) '''Question:''' which is preferred, mm^3! | ||
+ | ** Relative % difference | ||
+ | ** Absolute change (same units as above) | ||
+ | |||
+ | == Screenshots == | ||
+ | |||
+ | === Linear Measurement (from draft slides) === | ||
+ | |||
+ | [[image:PreTreatmentLinear1.png |thumb|center|400px| measuring pre-TX tumor with fiducials, longest dimension]] | ||
+ | |||
+ | [[image:PreTreatmentLinear1cross.png |thumb|center|400px| measuring pre-TX tumor with fiducials, orthogonal dimension]] | ||
+ | |||
+ | [[image:PreTreatmentNewWidget.png |thumb|center|400px| measuring pre-TX tumor with MeasureWidget, orthogonal dimension]] | ||
+ | |||
+ | [[image:PostTreatmentLinear1.png |thumb|center|400px| measuring pre-TX tumor with fiducials, longest dimension]] | ||
+ | |||
+ | [[image:PostTreatmentLinear1cross.png |thumb|center|400px| measuring pre-TX tumor with fiducials, orthogonal dimension]] | ||
+ | |||
+ | === Volumetric Measurement (from draft slides) === | ||
+ | |||
+ | [[image:CreateVOI.png |thumb|center|400px| defining VOI for measurements]] | ||
+ | |||
+ | [[image:PreTreatmentVolumeStats.png |thumb|center|400px| pre-TX statistics]] | ||
+ | |||
+ | [[image:PostTreatmentVolumeStats.png |thumb|center|400px| post-TX statistics]] | ||
+ | |||
+ | [[image:CompareVolumeStatistics.png |thumb|center|400px| pre- versus post-TX statistics]] | ||
+ | |||
+ | == STATUS == | ||
+ | |||
+ | * have new Pre/Post GAD Ax case for post-treatment -- need to regenerate slides and workflow with this dataset instead of T1 for better tumor contrast (November RSNA deadline) | ||
+ | * need to use dataset appropriate for ChangeTracker demonstration -- t2 for this dataset has no detectable tumor (November RSNA deadline) | ||
+ | |||
+ | == PPT files == | ||
+ | |||
+ | [[media:VolumetricPresentation.ppt | Slides for Volumetric Analysis (in progress) ]] |
Latest revision as of 15:38, 14 September 2009
Home < Slicer3:UIDesign:WorkingProblems:BCAnalysis:VolumetricBack to Project Overview
Volumetric Tumor Analysis for Breast Cancer
Goal
Goal is to accommodate basic RECIST assessment for cancer treatment.
Specifically for volumetric analysis:
- perform linear measurements
- perform volumetric measurements
- test change tracker in cases where linear measurements may not provide clear assessment.
Linear Measurements Workflow Described by Jeffrey Yapp
- Scroll through baseline
- Find the tumor's longest diameter (no reformat, just on orig acquisition)
- Measure the longest diameter D1(t1)
- Measure the orthogonal diameter D2(t1)
- If there are multiple tumors, measure both diams in each tumor and sum to get relative D1(t1) and relative D2(t1)
- Perform same measurements D1(t2) and D2(t2)
- Specific results to report:
- Percent change
- Absolute change
- Question: units for these values -- mm!
Approach in Slicer
- create a subvolume of target breast for both pre and post treatment timepoints: try to make these two subvolumes match as closely as possible. Ron uses 2-fold oversampling.
- Registration:
- create transform node
- perform manual,
- then affine,
- then B-spline (modified number of histogram bins to 20)
- run bias field correction on both subvolumes with 10 iterations and skin mask for pre and post separately
- mask out background
- perform histogram matching with "threshold at mean" checked
- Ran diffeomorphic demons on post, took 3 hours, with nice results
- Linear Measurements:
- scroll to slice with largest diameter Dmax
- measure Dmax and orthogonal Dmax on both treatment timepoints using the linear measurement widget.
- in Editor module:
- use threshold paint to segment tumor; or
- use fastmarching with seeds in the tumor tissue
- erase any outlying pixels
- in Fiducials module:
- create two fiducials along longest axis
- check distance measure between; or
- eventually use nicole's measurement widget
- move fiducials to mark orthogonal axis
- check distance measure between;
- Extra things to do:
- use the editor quick model to create a model of the gland
- use the editor to segment the skin (threshold, change island, quick model)
Ron's requests:
- The fiducial text is too large in the fast marching display. The default text size be smaller?
- I was not quite clear on how to create a new label map for doing the skin segmentation. I ended up reusing the fastmarchinglabel and losing that segmentation.
- quickmodel should use the label name as default.
- It would be nice to have short cuts to the add label tools and label statistics tools on the editor page. This would give a cue for beginners where to look for that functionality.
Volume Measurements Workflow
- Scroll through dataset and determine tumor with largest diameter.
- Segment largest diameter tumor in baseline Question: multiple tumors ok?
- Manual or automatic segmentation OK
- Segment tumor in followup Questions: Must be same tumor, or largest diameter in followup? multiple tumors ok? (same tumor)
- Manual or automatic segmentation OK -- but use same method
- Measure:
- Volume(t1) and Volume(t2) Question: which is preferred, mm^3!
- Relative % difference
- Absolute change (same units as above)
Screenshots
Linear Measurement (from draft slides)
Volumetric Measurement (from draft slides)
STATUS
- have new Pre/Post GAD Ax case for post-treatment -- need to regenerate slides and workflow with this dataset instead of T1 for better tumor contrast (November RSNA deadline)
- need to use dataset appropriate for ChangeTracker demonstration -- t2 for this dataset has no detectable tumor (November RSNA deadline)