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Steps of the Radiotherapy Planning Pipeline and their Uncertainties

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Multi-Parametric Imaging & Feature

Derivation

•Sensitivity/Specificity

•Motion, Noise, Artifacts

•Parameterizations

•Modeling Choices

Registration of Multi-Parametric

Imaging

•From Imaging

•Accuracy

•Robustness

•Parameterizations

Tumor Tissue Characterization

•From Imaging :

•Quality Assessment

•Parameterizations

•From Histology

Automatic Segmentation of

Organs at Risk

•Accuracy of algorithm

•Parameterizations

•Anatomical Variability

Radiotherapy Dose Planning

•From previous steps :

•Assumptions

•Adjustments

•Choices

•Variability

Radiobiological Modeling

•For Tumors :

•From Imaging

•Parameter Sensitivity

•For Normal Tissues :

•Anatomical Variability

Steps of the Radiotherapy Planning Pipeline and their Uncertainties

Exploration and Visual Analysis of Modeling Variability

in DCE-MRI Data [RvdHvH*14]

Visualization of Deformable Image

Registration Quality [SFJ*16]

Visual Analytics for the Exploration of

Tumor Tissue Characterization

[RvdHD*15, RKS*16]

Visual Analytics for the Exploration and Assessement

of Segmentation Errors [RMB*16]

Visualization of Variability in Radiotherapy Dose

Planning [SRV16]

Visual Analysis of Tumor Control Probability Models [RCMM*16,CMRR*18]

Visual Analytics for the Exploration of Bladder Variability and Toxicity [RCMA*]

Visualization Strategies Addressing Uncertainty at Each Step of the Pipeline (b)

(1)

(d)

(1)

(2) (2)

(a) (c) (e)

Referanser

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