Radiotherapy Support Functions are, as a basic description, general radiotherapy worker functions. RSF functions are used both various Dose Calculation Functions and Design Task Functions. The RSF function category encompass the remaining functions not classified as a DTF or DCF.

Below is a list of some common image processing functions and a brief explanation of their intended usage (Specific details of each function, argument parameters, and return values are provided at the Dosimetry App Manifest Guide).

• override_image_inside_structure:
  • Returns a new 3D image where the value of each voxel that is more than cutoff % contained within the structure is set to the provided override value.
• override_image_outside_structure:
  • Modifies an image where the value of each voxel that is more than cutoff % contained within the structure is set to the provided override value (values outside the structure are not modified).
• override_image_variant_outside_structure:
  • Returns a new 3D image where the value of each voxel that is more than cutoff % outside the structure is set to the provided override value.
• image_histogram:
  • Creates a histogram using the specified 1D image
• combine_images_<N>d:
  • Where N is the size of the image
  • Combine multiple images into single image
• image_bounding_box_<N>d:
  • Where N is the size of the image
  • Returns the bounding box of an image of size N
• bounding_box_<N>d:
  • Where N is the size of the image
  • Returns the bounding box of an image_geometry of size N. Allows support for non equal spacing of image pixels.
• image_min_max_<N>d:
  • Where N is the size of the image
  • Get the minimum and maximum values in the given image.
• image_list_min_max_<N>d:
  • Where N is the size of the image
  • Get the overall minimum and maximum values for a vector of images.
• create_uniform_image_on_grid_<N>d:
  • Where N is the size of the image
  • Create an image of uniform pixel values (e.g. water phantom) over a grid of size N.
  • See thinknode™ Examples for python for an example of using this function.

Below is a list of some common polygon, polyset, and structure manipulation functions and a brief explanation of their intended usage (Specific details of each function, argument parameters, and return values are provided at the Dosimetry App Manifest Guide).

• polygon_centroid:
  • Computes the geometric center of a polygon
• scale_polygon:
  • Scales a polygon shape in XY (independently) based on a vector2D factor
• scale_polyset:
  • Scales a polyset shape in XY (independently) based on a vector2D factor
• polyset_expansion:
  • Expands a polyset uniformly around the edges by the given amount. This function can be used to either expand or contract a polyset.
• polyset_combination:
  • Compute a combination of two or more polysets. This function can operate as a union, intersection, difference, or exclusive or (xor).
• structure_combination:
  • Compute a combination of two or more structures. This function can operate as a union, intersection, difference, or exclusive or (xor).
• structure_2d_expansion:
  • Compute the 2D expansion of a structure. The 2D expansion of a structure is computed by independently expanding each slice of the structure within its 2D plane. This function can be used to either expand or contract a structure.
• structure_3d_expansion:
  • When computing the 3D expansion of a structure, the structure's slices are allowed to expand into other slices. This function can be used to either expand or contract a structure.
• point_list_bounding_box_<N>d:
  • Where N is the size of the vector (1, 2, 3 dimensions).
  • Computes the bounding box of a list of N dimensional vectors

Below is a list of some common creation functions for geometric primitives and a brief explanation of their intended usage (Specific details of each function, argument parameters, and return values are provided at the Dosimetry App Manifest Guide).

• make_cube:
  • Creates a triangle mesh representing a 3D box
• make_cylinder:
  • Creates a triangle mesh representing an axis aligned, right 3D cylinder
• make_pyramid:
  • Creates a triangle mesh representing a rectangular based, right 3D pyramid
• make_sphere:
  • Creates a triangle mesh representing a 3D sphere
• make_sliced_box:
  • Creates a structure geometry representing a 3D box (using a sliced mesh)
• make_sliced_cylinder:
  • Creates a structure representing an axis aligned, right 3D cylinder (using a sliced mesh)
• make_sliced_parallelepiped:
  • Creates a structure representing a generalized 3D parallelepiped (using a sliced mesh)
• make_sliced_pyramid:
  • Creates a structure representing a rectangular based, right 3D pyramid (using a sliced mesh)
• make_sliced_sphere:
  • Creates a structure representing a 3D sphere (using a sliced mesh)

Below is a list of some common degrader manipulation functions and a brief explanation of their intended usage (Specific details of each function, argument parameters, and return values are provided at the Dosimetry App Manifest Guide).

• make_block:
  • Create a degrader representing a block. A block has a uniform thickness within its shape and 0 thickness outside. Note that the shape is specified at the downstream edge of the block.
• make_shifter:
  • A block has a uniform thickness within its shape and 0 thickness outside. A range shifter is modelled as extending infinitely in the X and Y directions, so its thickness is uniform across the field.
• make_rc:
  • Create a degrader representing a range compensator. A range compensator is a degrader whose thickness is specified as an image. The image is specified in the plane of the downstream edge of the RC.
• make_rc_nurb:
  • Create a degrader representing a nurbs range compensator. A nurbs range compensator is a degrader whose thickness is specified as a smooth surface. The surface is specified in the plane of the downstream edge of the RC.
• truncate_rc:
  • Shifts a range compensator surface such that the minimum thickness is set to the specified value.
• make_uniform_rc:
  • Create a degrader representing a uniform thickness range compensator.
• make_linear_rc:
  • Create a degrader representing a linearly varying thickness range compensator.

By changing the input (shape, image, etc) passed into the the degrader make functions, the resulting degrader can be manipulated as desired.