Elekta, Inc.

System and techniques may be adapted for use in radiotherapy treatment planning. A technique may include determining a set of optimization functions with initial optimization goals, including at least one optimization function depending on LET and at least one optimization function for selecting a dose. The technique may include generating, for example using processing circuitry, a treatment plan via automated multicriteria optimization of the set of optimization functions while preserving the initial optimization goals using the patient information. In some examples, the treatment plan may be output (e.g., stored or displayed).

Systems and techniques may be used for generating a personalized segmentation model. For example, a method may include, using a first set of labeled image structures, to train, using processing circuitry, an initial segmentation model. The method may include sending, to a user, the initial segmentation model and selected slices from a second set of planning image structures, and receiving, from the user, adjusted selected slices, the adjusted selected slices being modified by the user. The method may include generating, using the adjusted selected slices as an input to a structure model, a set of contoured structures. The method may include modifying the initial segmentation model using the set of contoured structures via a transfer learning technique to output a personalized segmentation model for the user.

A computer-implemented method for radiation treatment planning, the method comprising: receiving a reference dose value, wherein the reference dose value is a defined maximum radiation dose within a first region for radiation treatment in a patient; applying an optimization procedure to a treatment plan for radiation treatment of the patient, wherein the optimization procedure seeks to minimize a cost function which is representative of a dose excess value above the reference dose value; and responsive to determining that the dose excess value is below a threshold value: decreasing the reference dose value; and reapplying the optimization procedure to the treatment plan, wherein the optimization procedure seeks to minimize the cost function based on the decreased reference dose value.

A computerized system (SRS) for radiation therapy support. The system comprises an input interface (IN) for receiving an input image acquired by an imaging apparatus (IA 1 ). The input image represents a region of interest (ROI) internal of a patient (PAT) and acquired before delivery of a dose fraction by a radiation therapy delivery apparatus (RTD). A pre-trained machine learning unit (MLU) of the system is configured to process the input image to detect a medical condition. A communication component (RC) of the system is configured to provide, based on the detected medical condition, an indication for one or more clinical actions to be performed in relation to the patient.

A non-transitory computer readable medium ( 26 ) stores instructions executable by at least one electronic processor ( 20 ) to perform a method ( 100, 200 ) of identifying possible arc segments for removal in a modulated arc therapy plan. The method includes: iteratively optimizing a modulated arc therapy plan for an initial arc segment; and computing a geometric freedom (GF) metric for each control point (CP) of the initial arc segment.

A computer-implemented method is disclosed for generating a radiation treatment plan for a patient for at least one future radiation treatment session. The method comprises obtaining one or more images of the patient. The method further comprises, generating, based on the one or more images, a representation of a plurality of potential anatomical states of the patient which may occur during the future radiation treatment session. The method further comprises, generating, based on the representation, at least one treatment plan. Such a method can reduce treatment margins and can improve the adaptive radiotherapy process by improving speed, safety and reduce the need for physician presence.

Using a computer-implemented intermediary by which contouring performed by two participants, such as two physicians, can be compared. First, contouring performed by each participant can be compared to contouring performed by the intermediary. Then, by way of the common intermediary and a transitive analysis, contouring performed by each participant can be compared.

A method for radiation treatment planning for delivering radiation therapy by a radiotherapy system, the method comprising: receiving a reference objective, the reference objective representing a goal to be achieved by the radiotherapy system; performing an optimisation procedure, according to the received reference objective, to determine a set of parameters, the set of parameters relating to characteristics of radiation to be delivered by the radiotherapy system, wherein the optimisation procedure comprises: optimising the set of parameters to obtain an achieved value, and responsive to the achieved value not meeting the reference objective, obtaining a relaxed objective using the achieved value and a relaxation value, and determining a configuration of the radiotherapy system using the optimised set of parameters and the relaxed objective.

A treatment-planning apparatus for radiotherapy, the apparatus comprising: processing circuitry; a network interface; and a non-transitory computer-readable medium storing instructions which, when executed by the processing circuitry, cause the processing circuitry to: in a first mode of operation, receive input data comprising imaging data and one or more medical objectives, and perform an optimization process using the input data to generate a treatment plan; and, in a second mode of operation, output data comprising imaging data and one or more medical objectives to an external treatment-planning server via the network interface, and receive a treatment plan from the external treatment-planning server via the network interface.

Methods, systems and computer-readable media for controlling a radiotherapy apparatus are disclosed. A method for controlling a radiotherapy apparatus comprises obtaining a first treatment plan comprising positioning information of a beam shaping apparatus of the radiotherapy apparatus; receiving, during delivery of a radiation therapeutic beam to a target on a patient, information including a positional shift of the target; and generating a revised treatment plan based on the first treatment plan, the generating of the revised treatment plan comprising determining an updated configuration of the beam shaping apparatus from the positioning information of the first treatment plan based on the positional shift of the target.