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.

The system includes a bed on which an irradiation target is mounted, an irradiation device that irradiates the irradiation target with a particle beam, and a magnetic resonance imaging apparatus that captures an image of an irradiation object and includes a magnet that generates a static magnetic field in an image capturing space in which the irradiation target is disposed, and a yoke disposed outside the image capturing space and through which a magnetic flux of the generated magnetic field passes. The irradiation device 21 is disposed on a back surface side of the yoke when viewed from the image capturing space, and irradiates the irradiation target with the particle beam from a through-hole or gap provided in the yoke. A direction in which the particle beam enters the image capturing space intersects with a direction of a static magnetic field applied to the image capturing space by the magnet.

Radiation beam alignment for a LINAC including (1) for each beam alignment parameter value of a set: (a) with a beam alignment parameter of a LINAC set to the beam alignment parameter value, using a gantry to generate a radiation beam; (b) using an imaging device to acquire a radiation transmission image indicative of a radiation field of the radiation beam after passing by a radiation opaque marker; (c) determining a location of a beam axis of the radiation beam and a center of a shadow of the marker based on the radiation transmission image; and (d) determining a target-to-beam-axis distance between the location of the beam axis and the center of the shadow of the radiation opaque marker; and (2) determining an optimum beam alignment parameter value based on the beam alignment parameter values and the target-to-beam-axis distances determined with the LINAC set to the beam alignment parameter values.

Presented systems and methods facilitate efficient and effective monitoring of particle beams. In some embodiments, a radiation gun system comprises: a particle beam gun that generates a particle beam, and a gun control component that controls the gun particle beam generation characteristics, including particle beam fidelity characteristics. The particle beam characteristics can be compatible with FLASH radiation therapy. Resolution control of the particle beam generation can enable dose delivery at an intra-pulse level and micro-bunch level. The micro-bunch can include individual bunches per each 3 GHz RF cycle within the 5 to 15 μsec pulse-width. The FLASH radiation therapy dose delivery can have a bunch level resolution of approximately 4.4×10{circumflex over ( )}-6 cGy/bunch.

Disclosed is a radiotherapy monitoring system. The radiotherapy monitoring system includes: radiotherapy equipment, wherein the radiotherapy equipment includes a support apparatus for carrying a patient and is provided with one or more isocenters; and one or more stereo cameras, wherein the one or more stereo cameras correspond to the one or more isocenters in a one-to-one correspondence, a shooting range of each stereo camera covers an isocenter corresponding to the stereo camera, and the one or more stereo cameras are configured to acquire three-dimensional surface images of the patient to monitor a movement of the patient based on the three-dimensional surface image.

To provide a radiation treatment system which enables wide irradiation range of radiation to a patient without increasing a load on a structure body. A radiation treatment system includes: a couch that carries a treatment target; a radiation source; a rotation mechanism configured to support the radiation source and to rotate the radiation source around the couch; a sensor configured to detect radiation transmitted through the treatment target; and a control unit configured to control the radiation source and the rotation mechanism, and the control unit sets an irradiation plan in which an irradiation range of first irradiation and an irradiation range of second irradiation are partially overlapped, and controls a radiation dose for an overlapping portion based on a detection result obtained by the sensor.

A computer-implemented method of performing a radiation therapy process includes: while a patient is disposed in a first position and maintains a first inspiration level, acquiring a set of projection images of a target volume associated with the patient; based on a treatment planning digital volume associated with the radiation therapy process and the set of projection images, generating a synthetic digital volume that includes the target volume; based on a treatment plan associated with the treatment planning digital volume and on the synthetic digital volume, generating a modified treatment fraction; and while the patient remains in the first position and maintains at least the first inspiration level, performing the modified treatment fraction.

The present application relates to a radiotherapy apparatus for delivering radiation to a subject. The apparatus comprises a source of radiation configured to rotate about an isocenter and emit radiation in a radiation plane containing said isocentre. The apparatus also comprises a subject support surface configured such that a portion of the subject support surface can be located substantially at the isocenter. The apparatus also comprises a subject support surface rotation mechanism configured to rotate the subject support surface about an axis of rotation that passes through the isocenter, wherein the subject support surface rotation mechanism is located outside the radiation plane.

Systems and methods are disclosed for monitoring anatomic position of a human subject and modifying a radiotherapy treatment based on anatomic position changes, as determined with a regression model trained to estimate movement of a region of interest. Example operations for movement monitoring and therapy control include: obtaining 3D image data for a subject, which provides a reference volume and at least one defined region of interest; obtaining real-time 2D image data corresponding to the subject, captured during the radiotherapy treatment session; extracting features from the 2D image data; producing a relative motion estimation of a region of interest with a machine learning regression model, the model trained to estimate a spatial transformation from the 2D image data based on training from the reference volume; and controlling a radiotherapy beam of a radiotherapy machine used in the radiotherapy session, based on the relative motion estimation.

A radiation medical device, including a main support, and a radiation assembly (30) and an imaging assembly (20) respectively located at both ends of the main support. After an imaging scan is completed and pathological tissue positioning pictures are taken, a patient is directly moved to the other end of the main support to allow the radiation assembly (30) to perform radiation therapy to improve the efficiency of the radiation therapy after the completion of pathological tissue positioning, and effectively reduce movement of the patient when the patient is being moved for radiation therapy after the imaging assembly (20) completes pathological tissue positioning, thus reducing pathological tissue positioning error caused by too much movement.