Presentation on theme: "Dose Location Histogram (DLH)"— Presentation transcript:
1 Dose Location Histogram (DLH) DLH gives an idea about the location of cold / hot spots within a structure relative to its surface.Eg: 85cc of cold spots (Dose <= 70Gy) lie within 1.4 cm from the surface
3 Generating Consensus Contour Graph of Agreement volume v/s Confidence level for the three methods: Apparent, kappa-corrected and STAPLE. User can interactively select the confidence level by dragging the red line and consensus regions will be updated accordingly. This process would change the estimated volume to match desired confidence level.
4 Mirror- ScopeWell registered regions would exhibit symmetry
5 Mirror- ScopePoor registered regions would exhibit asymmetry
6 Gridded ‘mirror-scope’ Base and deformed images overlaid on the top of each otherGridded Mirror Scope for the base and the deformed images
7 Fast 3D Gamma MetricBased on "A fast algorithm for gamma evaluation in 3D”, Wendling et al, Medical physics, 34 (5), p. 1647, 2007.Works with doses of unequal dimensions and having associated transformations. Computation time for regular doses is ~2 seconds.1
8 Image Registration via command line [basePlanC, movPlanC] = register_scans(basePlanC, movPlanC, baseScanNum, movScanNum, algorithm)
9 CERR Extractor – makes it easy to combine Dosimetric and Clinical data Outcomes and Clinical dataTreatmement data
10 CERR Extractor STEP 1: Choose directory containing Tx plans STEP 2: Choose structures to modelSTEP 3: Manually correct unconventional namesSTEP 4: COHORT REVIEWSTEP 5: Choose Excel file containing outcomes / clinical dataSTEP 6: Export Tx, outcomes and clinical information to DREESSTEP 7: Model
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