The present invention relates to linear, straight through electron beam machines that incorporate a rotary coupling system to easily attach and manually or automatically rotate field defining members such as applicators and/or shields to the electron beam machines. The rotary coupling systems also incorporate functionality for using different kinds of optical signals to automatically provide illumination, reference mark projection, and/or distance detection. The optical signals generated downstream from heavy collimator components and are transmitted along the central axis of the field defining elements so that function and accuracy are maintained as the components rotate.

A magnetic resonance (MR)-radiotherapy (RT) hybrid system for treating a patient is disclosed. The MR-RT hybrid system comprises: an MR imaging (MRI) apparatus comprising bi-planar magnets configured to generate a magnetic field; a radiation source configured to supply a radiation beam to treat the patient; a gantry configured to couple the MR apparatus at a first end and the radiation source so that they can rotate in unison; a treatment support configured to support the patient; a motor configured to move the treatment support; and a controller. The controller comprises a processor and memory having stored thereon instructions, which when executed by the processor, cause the motor to move the treatment support in order to avoid collision between the MRI apparatus and the patient when the MRI apparatus is rotated. A method for positioning the treatment support within the MR-RT hybrid system is also disclosed.

A radiotherapy system includes X-ray imaging apparatuses that obtain an X-ray image of the patient on a reference plane, and a position determination apparatus. The position determination apparatus calculates parameters of a region estimation model, using, as input data, a reference fluoroscopic image obtained before radiotherapy, and also using, as teacher data, a reference ROI image obtained with respect to the reference fluoroscopic image before radiotherapy. During radiotherapy, the position determination apparatus estimates a region of interest with respect to the X-ray image and a DRR image, based on the parameters and the X-ray image, determines a degree of matching between the X-ray image and the DRR image for the region of interest while virtually changing a relative position/orientation relationship between a CT image and the reference plane, and determines an amount of deviation in position/orientation between the patient and the CT image.

Disclosed herein is a method of positioning a patient for radiotherapy treatment using a radiotherapy system. The method comprises determining a first target position for the patient for radiotherapy treatment; implementing a spatial relationship between the patient and at least a part of the radiotherapy device, at a first time (t.sub.1), according to the first target position; providing radiotherapy treatment to the patient; determining a current position of the patient, at a second, subsequent time (t.sub.2); and determining whether a change of a spatial relationship between the patient and at least a part of the radiotherapy device should be made, according to the first target position.

A radioactive ray radiation system includes a beam radiation apparatus, a treatment planning module, a control module, a preparation room and a radiation room. First and second stereoscopic vision apparatuses are respectively arranged in the preparation room and the radiation room. Simulated positioning is performed on a radiated subject in the preparation room according to the location of a radiated part determined in a treatment plan, and a first image of the radiated part collected by the first stereoscopic vision apparatus is compared with the treatment plan to determine a simulated positioning pose. Radiation positioning is performed on the radiated subject in the radiation room according to the determined simulated positioning pose, and a second image of the radiated part collected by the second stereoscopic vision apparatus is compared with the treatment plan to control the beam radiation apparatus to start performing radiation therapy on the radiated subject.

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 neutron capture therapy system includes a neutron beam generating unit, an irradiation room configured to irradiate an irradiated body with a neutron beam, a preparation room configured to implement preparation work required to irradiate the irradiated body with the neutron beam, and an auxiliary positioner disposed in the irradiation room and/or the preparation room. The irradiation room includes a first shielding wall, a collimator is disposed on the first shielding wall for emitting the neutron beam, and the neutron beam is emitted from the collimator and defines a neutron beam axis. The auxiliary positioner includes a laser emitter that emits a laser beam to position the irradiated body, wherein the position of the laser emitter is selectable. Therefore, the irradiated body can be positioned in any case to implement precise irradiation.

A method and apparatus for position detection, and a radiotherapy system are provided. The radiotherapy system includes: a treatment couch, a positioning apparatus, an optical tracking system and a computer; the positioning apparatus disposed on the treatment couch, and at least one reference point provided on the positioning apparatus; the optical tracking system disposed above the treatment couch and configured to detect relative positioning between a mark point set on a treated part of a patient and the reference point, determine deviation between the relative and reference positions, and send the deviation to the computer. The computer is configured to determine whether to adjust a position of the treatment couch based on the deviation and deviation range. The system provided by the present disclosure avoids the influence of patient movement on the accuracy of treatment, and prevents a treatment beam from damaging normal tissues of the patient.

In certain embodiments, an ophthalmic laser surgical system for imaging and treating a target in an eye includes a laser device, imaging system, and computer. The laser device directs the focus of a laser beam towards an intended location (x0, y0, z0) of the target to yield a cavitation bubble in the vitreous. The imaging system directs imaging beams towards the target, receives the imaging beams reflected from the eye, generates an image of the cavitation bubble from the reflected imaging beams, and measures an actual location (x, y, z) of the cavitation bubble according to the image. The computer determines an error vector that describes an error between the intended location and the actual location, determines a correction vector to compensate for the error, and instructs the laser device to use the correction vector to direct the laser beam towards the target to treat the target.

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.