Abstract:
An apparatus for use in a treatment planning process or in a treatment process, includes: an input for obtaining a parameter representing a number of beam on-off transitions; and a treatment planner configured to optimize a treatment plan based on parameter representing the number of beam on-off transitions. An apparatus includes: an input configured to obtain a width of a gating window for a treatment plan; and a gating window adjustor configured to adjust the width of the gating window during a treatment session. An apparatus includes: a dose calculator configured to calculate doses for different treatment variations; an evaluator configured to evaluate treatment acceptance criteria against the calculated doses; and a delivery limit module configured to determine one or more limits for one or more delivery parameters based on an evaluation of the treatment acceptance criteria by the evaluator.
Abstract:
An apparatus for use in a treatment planning process or in a treatment process, includes: an input for obtaining a parameter representing a number of beam on-off transitions; and a treatment planner configured to optimize a treatment plan based on parameter representing the number of beam on-off transitions. An apparatus includes: an input configured to obtain a width of a gating window for a treatment plan; and a gating window adjustor configured to adjust the width of the gating window during a treatment session. An apparatus includes: a dose calculator configured to calculate doses for different treatment variations; an evaluator configured to evaluate treatment acceptance criteria against the calculated doses; and a delivery limit module configured to determine one or more limits for one or more delivery parameters based on an evaluation of the treatment acceptance criteria by the evaluator.
Abstract:
An optimized radiation treatment plan may be developed in which the total monitor unit (MU) count is taken into account, A planner may specify a maximum treatment time. An optimization algorithm may convert the specified maximum treatment time to a maximum total MU count, which is then used as a constraint in the optimization process. A cost function for the optimization algorithm may include a term that penalizes any violation of the upper constraint for the MU count.
Abstract:
These teachings provide for accessing optimization information (202) comprising at least one isocenter that corresponds to a body outline for a particular patient (104), field geometry information for a particular radiation treatment platform (114), and dosimetric data. The optimization information can further comprise a model of a body outline for the patient (104). A control circuit (101) optimizes a radiation treatment plan as a function of the optimization information to provide an optimized radiation treatment plan (113) where radiation dose levels delivered to the particular patient (104) from a particular field (403, 405) depends on the relative volume magnitude of field path intersections to thereby reduce radiation dose delivery to healthy patient tissue in regions having relatively more overlapping fields (403, 405).
Abstract:
A method of calculating radiation dose includes dosimetric projection of a collimator geometry. The method includes defining a three-dimensional (3D) geometry of a collimating device which defines an aperture configured to allow a radiation beam passing through, projecting the collimating device along the radiation beam into a two-dimensional (2D) geometry in a plane, calculating dosimetric opacity values of the collimating device at locations adjacent to the aperture based on the 3D geometry of the collimating device, and calculating transport of the radiation beam through the collimating device based on the 2D geometry projected in the plane and using the dosimetric opacity values of the collimating device at the locations adjacent to the aperture.
Abstract:
A beam-blocking leaf (200) includes a body portion (202) and a head (portion 204). The head portion is movable relative to the body portion, thereby allowing an end surface (206) of the head portion to change an orientation relative to the body portion. A collimator including the beam-blocking leaf and a method of collimating a radiation beam using the collimator are also provided.
Abstract:
A multileaf collimator includes a plurality of beam-blocking leaves of a first type and a plurality of beam-blocking leaves of a second type. The beam-blocking leaves of the first type are alternatingly arranged with the beam-blocking leaves of the second type side by side. Each of the beam-blocking leaves of the first type has a trapezoidal geometry viewed in the leaf longitudinal moving direction comprising a wider end and a narrower end with the wider end being proximal to a source. Each of the beam-blocking leaves of the second type has a trapezoidal geometry viewed in the leaf longitudinal moving direction comprising a wider end and a narrower end with the wider end being distal to the source.
Abstract:
In a radiation treatment plan that includes a plurality of treatment fields of multiple treatment modalities, such as IMRT modality and dynamic treatment path modality (e.g., VMAT and conformal arc therapy), an optimized spatial point sequence may be determined that optimizes the total treatment time, which includes both the beam-on time (i.e., during the delivery of radiation dose) and the beam-off time (i.e., during transitions between consecutive treatment fields). The result is a time-ordered field trajectory that intermixes and interleaves different treatment fields, in one embodiment, a dynamic treatment path may be cut into a plurality of sections, and one or more IMRT fields may be inserted between the plurality of sections.
Abstract:
A radiation-treatment plan that comprises a plurality of dose-delivery fractions can be optimized by using fraction dose objectives and at least one other, different dose objective. This use of fraction dose objectives can comprise accumulating doses delivered in previous dose-delivery fractions. The other, different dose objective can comprise a remaining total dose objective, a predictive dose objective, or some other dose objective of choice. An existing radiation-treatment plan having a corresponding resultant quality and that is defined, at least in part, by at least one delivery parameter can be re-optimized by specifying at least one constraint as regards that delivery parameter as a function, at least in part, of that resultant quality and then applying that constraint when re-optimizing the existing radiation-treatment plan.