Siemens Healthineers International AG

Provided herein are systems for determining a location of a gross target volume of a patient. In some examples, systems can include one or more processors that are configured to obtain image data associated with a plurality of images of a lesion of a patient. For each image, the one or more processors can be configured to backproject points representing the lesion into the 3D space to determine a plurality of distribution confidence values for a subset of voxels within the three-dimensional space. The one or more processors can be configured to determine a three-dimensional confidence distribution based on confidence values from the plurality of distribution confidence values corresponding to each voxel of the 3D space and determine a position of the lesion within the 3D space based on the 3D confidence distribution.

A computer-implemented method, a computer-implemented apparatus, a system and a computer program product for radiation treatment planning are suggested, the method comprising defining a radiation field associated with an initially defined radiation process, automatically splitting the radiation field into a plurality of N sub-fields, with N≥ 2 and n∈ , based on a set of metrics, the set of metrics at least comprising a time limitation associated with a duration of a radiation process for at least one of the N sub-fields, and providing a radiation beam configuration for controlling a radiation apparatus adapted to provide the radiation process associated with the split radiation field.

A server monitors a sequence of screen captures from a radiotherapy treatment planning platform's user interface, operated by medical professionals. The server generates a training dataset comprising a time series of the screen captures and trains a machine learning model using this dataset. The trained model is configured to predict visual attributes of the user interface, determining the next screen's attributes based on prior interactions. When executed, the model predicts future visual attributes of the interface as a user interacts with the current screen, offering real-time guidance for navigating the treatment planning platform.

A control circuit can be configured to access both an energy treatment plan for a particular patient using a particular energy treatment apparatus, which energy treatment plan was optimized with respect to at least one clinical goal, and dose information indicating that the energy treatment plan includes at least one area in at least one patient volume where an administered dose will not comport with the at least one clinical goal. The control circuit can then perform adjoint transport analysis for the at least one patient volume to characterize an effect of therapeutic energy on the at least one clinical goal and adjust the energy treatment plan in the at least one area as a function of the characterized effect of therapeutic energy on the at least one clinical goal.

One or more example embodiments relates to a method and apparatus which provides a smoothed radiation treatment plan. A time axis is defined for each control point setting a control point time. The control point time is set to be greater than a minimum time required to move all of the components of a treatment machine from a first control point to a second control point in order to slow down the components of the treatment machine resulting in a less jerky delivery.

A control circuit can optimize a radiation treatment plan for a particular patient using a particular radiation treatment apparatus having at least one dynamic radiation delivery feature to provide an optimized radiation treatment plan, and then present to a user, via a user interface, a quantification of complexity variations that correspond to the optimized radiation treatment plan for the at least one dynamic radiation delivery feature.

A control circuit can present to a breathing patient a first illumination that corresponds to a first light modulation to indicate when normal breathing is allowed during an energy-exposure treatment session, present to the breathing patient a second illumination that corresponds to a second light modulation that is different from the first light modulation to indicate that controlled breathing is presently required during the energy-exposure treatment session, and present to the breathing patient a third illumination that corresponds to a third light modulation that is different from both the first light modulation and the second light modulation to indicate that normal breathing will soon conclude and that controlled breathing will soon begin.

Provided herein are systems for configuring a proton beam system to deliver energy to a patient. In some examples, systems can include one or more processors that are configured to receive scan data associated with a three-dimensional scan of a patient, determine a treatment plan involving delivery of energy from a plurality of gantry positions relative to the patient, and provide control data associated with the treatment plan to a proton beam system, the control data configured to control the proton beam system when executing the treatment plan. In some examples, each field specified by the treatment plan can be associated with a beam configuration that targets the planning target volume such that each spot path of the beam configuration is separated from at least one other spot path of the beam configuration by a distance that satisfies a threshold distance.

At least one example embodiment provides a method including obtaining a first image, the first image including a light field on a patient, the light field being generated by a treatment system; obtaining a treatment plan outline, the treatment plan outline including an area of the patient for a treatment; determining positioning information based on the first image and the treatment plan outline, the positioning information including an indicator of a position of the treatment system with respect to the patient; and controlling the treatment system based on the positioning information.

A method for a radiation treatment system includes: a treatment-delivering X-ray source configured to rotate about an isocenter of the radiation treatment system and direct treatment X-rays to a target volume; an imaging X-ray source configured to rotate about the isocenter of the radiation treatment system and direct imaging X-rays to a target region that includes the target volume; and a processor. The processor is configured to perform the steps of: displaying a first set of multiple first user input elements, wherein each first user input element corresponds to a different anatomical region; in response to receiving a first user input via a specific first user input element included in the first set, displaying a second set of multiple second user input elements, wherein each second user input element corresponds to a different imaging protocol for an anatomical region that is associated with the specific first user input element in the first set; and in response to receiving a second user input via a specific second user input element included in the second set, acquiring at least one X-ray image of the target region via the imaging X-ray source and an imaging protocol that is associated with the specific second user input element.