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Table 2 Requirements for accuracy

From: Making the right software choice for clinically used equipment in radiation oncology

Data import, data registration and structure contouring
Minimal Enhanced Optimal
Import of external CT, MRI or PET data Registration of any number of data sets Flexible registration between CT and CT
Automatic rigid registration of 2 different data sets (e.g. CT and MRI) based on grey scale values Automatic registration error measured in a phantom ≤ 0.5 mm Flexible registration between different data sets
Registration of the planned CT with a combined PET-CT Propagation of a structure to any registered data set Flexible registration variable selectable in both directions
Automatic registration error measured in a phantom ≤ 1 mm The propagated structure automatically receives a new name and / or a specific index Automatic registration error measured in a phantom ≤ 0.2 mm
Structures can be copied to both sides between rigid registered data sets Correction tools for example to cleanup pixels out of a selected VOI Structures can be copied to both sides between flexible registered data sets
Structure from one dataset is representable in all registered data sets   
Boolian operations (AND, OR, NOT)   
Automatic expansion and contraction of structures with margins selectable in all three-dimensional directions   
Density override   
Requirements for treatment planning
Minimal Enhanced Optimal
Conventional IMRT possible (step-and-shoot or sliding-window IMRT) Volumetric IMRT possible (e.g. RapidArc or VMAT) Volumetric IMRT with more than one arc and selectable segments
Create sum of treatment plans calculated on one data set Direct manual manipulation of the fluences possible Biological optimization and calculation
Use of more than one isocenter in one treatment plan IMRT optimization with a DVH based declaration of the constrains Flattening filter free mode planning
Non-coplanar fields are applicable (even for IMRT) Dose and field entries and exits presentable on the body contour Create sum of treatment plans calculated on flexible registered data sets
Display option of a structure in the BEV (e.g. for adjustment of saturation fields) Reference dose can be applied to the treatment plan without linking to an anatomic location of the data set Fit of isodoses to PTV or OAR by dragging the isodoses
Possibility of using a treatment plan as a base dose plan for a new optimization TCP and NTCP model calculation included  
Convert an isodose to a structure   
Calculation and export of dose matrices (fluence) in transversal, sagittal and coronar slices   
Transfer of the fluence distribution on any CT data set and any phantom for the physical verification of dose   
Adjustable calculation grid   
Requirements for patient verification
Minimal Enhanced Optimal
2D fluoroscopic images and CBCT images producible in the treatment room directly before any fraction   
Fast execution, high solution, good clinical image quality   
Image overlay between the DRR of the treatment plan and the verification images (2D planar images)   
Image overlay between the CT slices of the treatment plan and the verification images (CBCT)   
Automatic matching and manual matching possible