Table 2.

Requirements for accuracy

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