Images that are associated with an identification of a tracking target of a patient to receive radiation treatment may be received. The images may be sorted into a sequence based on a motion of the patient. The sorted images may be provided via a graphical user interface. The sequence of the sorted images that are based on the motion of the patient may be provided.

Systems, methods, and apparatus are disclosed for cardiac structure tracking. An example method includes segmenting a diaphragm or respiratory surrogate, heart, and target. The method also includes performing a peak-exhale to peak-inhale registration and generating a respiratory motion model. The method further includes tracking the diaphragm using X-ray imaging and estimating a target position for an x-ray guided cardiac radioablation treatment. The example method provides directly, precisely controlled x-ray guided cardiac radioablation that accurately targets the substrates of cardiac ablation while minimizing doses to healthy tissue.

By using the Al module, the method of the present invention calculates, i.e. predicts, the dependency C.sub.i (p.sub.i) of a radiotherapy (RT) quality criterion C, from an adjustment of such a radiotherapy planning parameter p.sub.i. In this way, the decision making process in RT treatment plan optimization is streamlined by prediction of promising settings of one or more radiotherapy planning parameters p, before the actual time intensive iterative optimization process is carried out. This is achieved by applying an Al module, which has been trained to predict the specific behaviour of the dose optimization algorithm, i.e. the optimizer, with respect to geometric patient data, dose prescription and treatment indication data. Thus, a computer-implemented medical method of predicting a dependency C.sub.i (p.sub.i) of a radiotherapy (RT) quality criterion C.sub.i from an adjustment of a radiotherapy planning parameter p, is presented. The method comprises the following steps of providing geometric patient data geometrically describing an area of a patient, which is to be irradiated according to a radiotherapy treatment plan (step S1), providing dose prescription data and treatment indication data for said patient (step S2), and predicting with a trained Artificial Intelligence (Al) module the dependency C.sub.i (p.sub.i) of the radiotherapy quality criterion C.sub.i from the radiotherapy planning parameter p, when adjusting said radiotherapy planning parameter p.sub.i, thereby using the geometric patient data, the dose prescription data and the treatment indication data as input for the Al module (step S3).

A method of beam angle optimization for an IMRT radiotherapy treatment includes providing a patient model having one or more regions of interest (ROIs), defining a delivery coordinate space (DCS), for each ROI, solving an adjoint transport to obtain an adjoint solution field from the ROI, for each vertex in the DCS, evaluating an adjoint photon fluence by performing ray tracing of the adjoint solution field, evaluating a dose of the ROI using the adjoint photon fluence, for each vertex in the DCS, evaluating a respective beam's eye view (BEV) score of each pixel of a BEV plane using the doses of the one or more ROIs, determining one or more BEV regions in the BEV plane based on the BEV scores, determining a BEV region connectivity manifold based on the BEV regions, and determining a set of IMRT fields based on the BEV region connectivity manifold.

Systems and methods for synchronous motion optimization of device of moving components are provided. The methods may include obtaining positions of multiple components of a system; determining, based on the positions, a velocity of each component at each position; determining, based on the velocity of each component, a minimum duration for each component to traverse each segment between two sequential positions; determining, based on the minimum duration for each component to traverse each segment, an optimized duration corresponding to each segment; and determining, based on the optimized duration corresponding to each segment, motion parameters of each component in each segment, the motion parameters of each component in each segment forming the control plan of the system.

Methods and systems are disclosed for radiating a moving object. The method may comprise acquiring a plurality of indicators of the phase of a physiological cycle of a patient and a plurality of images of the patient that include a target. Each image may be taken at a different phase of the physiological cycle and may be registered to the phase at which the image was taken. The method may also include identifying the target in each of the plurality of images, calculating a dose of radiation required to treat the target, calculating the number, orientation, and dwell time of one or more radiation beams required to deliver the calculated required dose of radiation to the target, and calculating a position of each of the one or more radiation beams required to achieve the calculated orientation. Each position may be a function of the phase of the physiological cycle to which each of the plurality of images is registered.

A radiation system may include a treatment head configured to deliver a treatment beam to an object, a first assistance assembly configured to facilitate a delivery of the treatment beam, a first imaging radiation source configured to direct a first imaging beam toward the object, a first detector configured to detect at least a portion of the first imaging beam, and a second assistance assembly configured to facilitate a delivery of the first imaging beam. The gantry may include a first gantry portion having a rotation axis and a second gantry portion located next to the first gantry portion along the rotation axis. The treatment head, the first imaging radiation source, and the first detector may be disposed on the first gantry portion. The first assistance assembly and the second assistance assembly may be housed within the second gantry portion.

Techniques are described that use surface camera imaging data combined with other information to describe how a patient is moving in 4D. Intrabody imaging data, such as from CT images, and surface camera imaging data, such as from surface imaging cameras, can be acquired. A system can generate a model relating the intrabody imaging data having a three-dimensional (3D) patient representation to a two-dimensional (2D) surface patient representation. During a particular treatment fraction session, the system can obtain surface camera imaging data and use the surface camera imaging data and the model to calculate a 3D patient representation during the particular treatment fraction session. In this manner, surface camera imaging data can drive the model to provide motion management during (or before or after) a treatment session so that the 3D state of a patient is known at any given moment during (or before or after) a treatment session.

The invention comprises a segmented rolling floor apparatus and method of use thereof, such as for use in a charged particle cancer therapy system. The segmented rolling floor comprises a first spool and a second spool, attached to opposite ends of the rolling floor, which cooperatively wind and unwind the rolling floor. The segmented rolling floor circumferentially surrounds a nozzle system penetrating through an aperture in the segmented rolling floor, where the nozzle system is used to deliver charged particles, from an accelerator, to a tumor of a patient. The rolling floor and nozzle systems move at respective rates maintaining the nozzle system in the aperture allowing for a safe/walkable floor while allowing treatment of the tumor as a gantry rotates the nozzle system and delivers protons to the tumor from positions above and below the floor.

A system for synthesizing a real-time image by using optical surface motion signals includes: an acquisition unit configured to acquire an image of a patient before treatment and real-time optical surface data of the patient during treatment; and a synthesis unit configured to synthesize the acquired image of the patient before treatment and the real-time optical surface data of the patient during treatment into a real-time image that is synchronized with a change of the optical surface motion signals according to a certain mapping relationship. The synthesized real-time image achieves precise, real-time, non-invasive, visual dynamic tracking of the moving target volumes without concomitant dose during radiotherapy on the existing traditional accelerator platform.