Dose Location Histogram (DLH)

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Presentation transcript:

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

Plan Robustness Analysis

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.

Mirror- Scope Well registered regions would exhibit symmetry

Mirror- Scope Poor registered regions would exhibit asymmetry

Gridded ‘mirror-scope’ Base and deformed images overlaid on the top of each other Gridded Mirror Scope for the base and the deformed images

Fast 3D Gamma Metric Based 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

Image Registration via command line [basePlanC, movPlanC] = register_scans(basePlanC, movPlanC, baseScanNum, movScanNum, algorithm)

CERR Extractor – makes it easy to combine Dosimetric and Clinical data Outcomes and Clinical data Treatmement data

CERR Extractor STEP 1: Choose directory containing Tx plans STEP 2: Choose structures to model STEP 3: Manually correct unconventional names STEP 4: COHORT REVIEW STEP 5: Choose Excel file containing outcomes / clinical data STEP 6: Export Tx, outcomes and clinical information to DREES STEP 7: Model

Cohort Viewer

Dose CT Profile

Min/Max/Mean Dose Projection

IMRTP Example solver: runOptimExample.m Wiki