Disclosed is a computer-implemented method which encompasses comparing the requirements for radiation therapy imposed by a patient's individual condition to the capabilities and requirements of different types of treatment machines to determine a suitable radiation treatment strategy including an identification of the treatment machine which shall be used and a treatment plan. Furthermore, a treatment plan is generated by simulating the envisaged radiation treatment. The type of treatment machine associated with a predetermined value for the sum of weights for all fields assigned to that treatment machine is determined as the treatment machine for treating the patient, and corresponding information is output detailing the treatment specifics such as radiation treatment parameters specifically suited for the patient target region tumor thereby reducing radiation exposure, efficient use of the machine and appropriate gating and tracking modes.

A dual robot therapy system may be configured to provide a therapy beam (and/or an imaging beam) at each of multiple treatment beam angles that are selected from a much larger set of candidate beam angles than are possible with existing therapy delivery system.

A radiation system may include a treatment assembly including a first radiation source, a second radiation source, and a first radiation detector. The first radiation source may be configured to deliver a treatment beam covering a treatment region of the radiation system, and the treatment region may be located in a bore of the radiation system. The second radiation source may be configured to deliver a first imaging beam covering a first imaging region of the radiation system, and may be mounted rotatably on a first side of the treatment assembly. The first radiation detector may be configured to detect at least a portion of the first imaging beam, and may be mounted rotatably on a second side of the treatment assembly. The treatment assembly, the second radiation source, and the first radiation detector may be positioned such that the treatment region is addressable for the radiation system.

A radiation therapy system comprising a therapeutic radiation system (e.g., an MV X-ray source, and/or a linac) and a co-planar imaging system (e.g., a kV X-ray system) on a fast rotating ring gantry frame. The therapeutic radiation system and the imaging system are separated by a gantry angle, and the gantry frame may rotate in a direction such that the imaging system leads the MV system. The radiation sources of both the therapeutic and imaging radiation systems are each collimated by a dynamic multi-leaf collimator (DMLC) disposed in the beam path of the MV X-ray source and the kV X-ray source, respectively. In one variation, the imaging system identifies patient tumor(s) positions in real-time. The DMLC for the imaging radiation source limits the kV X-ray beam spread to the tumor(s) and/or immediate tumor regions, and helps to reduce irradiation of healthy tissue (e.g., reduce the dose-area product).

An example method of radiation therapy in a radiation therapy system that includes a gantry with a treatment-delivering X-ray source and an imaging X-ray source mounted thereon is described. The method includes rotating the gantry in a first direction at a first rotational velocity about an open bore and concurrently rotating an annular support structure at a second rotational velocity about the open bore, wherein the second rotational velocity is less than the first rotational velocity. While continuing to rotate the gantry in the first direction about the open bore from a first position to a treatment position, the method also includes generating multiple images of a target volume disposed in the bore using the imaging X-ray source. Upon rotating the gantry to the treatment position, the method includes initiating delivery of a treatment beam to the target volume with the treatment-delivering X-ray source.

An improved x-ray cone-beam CT image reconstruction by end-to-end training of a multi-layered neural network is proposed, which employs cone-beam CT images of many patients as input training data, and precalculated scattering projection images of the same patients as output training data. After the training is completed, scattering projection images for a new patient are estimated by inputting a cone-beam CT image of the new patient into the trained multi-layered neural network. Subsequently, scatter-free projection images for the new patient are obtained by subtracting the estimated scattering projection images from measured projection images, beam angle by beam angle. A scatter-free cone-beam CT image is reconstructed from the scatter-free projection images.

A method of sequential monoscopic tracking is described. The method includes generating a plurality of projections of an internal target region within a body of a patient, the plurality of projections comprising projection data about a position of an internal target region of the patient. The method further includes generating external positional data about external motion of the body of the patient using one or more external sensors. The method further includes generating, by a processing device, a correlation model between the projection data and the external positional data by fitting the plurality of projections of the internal target region to the external positional data. The method further includes estimating the position of the internal target region at a later time using the correlation model.

A patient irradiation treatment plan verification system, the system constituted of: a treatment irradiation source arranged to output a treatment irradiation beam; a first detector; and a patient support member arranged to support a patient, the patient support member positioned between the treatment irradiation source and the first detector, wherein the first detector is arranged to detect the output treatment irradiation beam after the output treatment irradiation beam has irradiated the supported patient and output information regarding the detected irradiation beam.

A system for assisting in performing an interventional procedure includes a first subsystem (1) and a second subsystem at different places, especially in different rooms. At a first place the first subsystem a) generates a first image of a subject (22) while an interventional device (12) is introduced into the subject and b) determines the position of the interventional device within the subject. At a second place the second subsystem a) generates a second image of the subject with the introduced interventional device and b) plans and/or monitors a treatment based on the second image and the already determined position of the interventional device, i.e. the second subsystem does not need to start a completely new position determination procedure, thereby reducing technical efforts. Moreover, the first and second images are generated by different imaging modalities which allows for, for instance, improved image guidance, planning and/or monitoring.

A radiation treatment system and an operation procedure of an irradiation parameter verification device. The radiation treatment system comprises a radiation generation device, an irradiation chamber used for placing a patient, a carrying device used for transferring and bearing the patient, a collimator provided in the irradiation chamber, an irradiation parameter verification device used for determining whether the position of the patient is suitable for performing radiation irradiation treatment or not, and a collimator model, wherein the collimator comprises a collimator outlet; the collimator model comprises a collimator model outlet; the shape and the size of the collimator model outlet are the same as those of the collimator outlet, and the size of the collimator model in the direction perpendicular to the collimator model outlet is smaller than the size of the collimator in the direction perpendicular to the collimator outlet.