A tomographic imaging system comprises a support carrying an image data acquisition system and defining a reference coordinate frame. A scan plan control sets the image-data acquisition system to acquire image-data from a selected imaging zone in the reference coordinate system. A motion detection system to detect movement and includes (i) a dynamic camera system to receive dynamic image information registered in the image coordinate frame of the dynamic camera system, (ii) an arithmetic unit configured to transform the selected imaging zone from the reference coordinate frame to the image coordinate-frame and a (iii) motion analyser to derive motion information from the registered dynamic image information in the transformed selected imaging zone. In the event of motion detected by the motion analyser in or near the imaging zone, the detected motion may be employed for motion correction.

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.

Systems and techniques may be used to estimate a real-time patient state during a radiotherapy treatment using a magnetic resonance linear accelerator (MR-Linac). For example, a method may include generating a dictionary of expanded potential patient measurements and corresponding potential patient states using a preliminary motion model. The method may include training, using a machine learning technique, a correspondence motion model relating an input patient measurement to an output patient state using the dictionary. The method may include estimating, using a processor, the patient state corresponding to a 2D MR image using the correspondence motion model. The method may include directing radiation therapy, using the MR-Linac, to a target according to the patient state.

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.

Systems and methods for the delivery of linear accelerator radiotherapy in conjunction with magnetic resonance imaging in which components of a linear accelerator may be placed in shielding containers around a gantry, may be connected with RF waveguides, and may employ various systems and methods for magnetic and radio frequency shielding.

Devices, systems, and methods for enhancing MRI image quality and tracking accuracy in MR-guided treatment systems are described.

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.

Systems and methods are disclosed for monitoring anatomic position of a human subject for a radiotherapy treatment session, based on use of a regression model trained to estimate movement of a region of interest based on 2D image data input. Example operations for movement estimation include: obtaining 3D image data for a subject, which provides a reference volume and at least one defined region of interest; obtaining 2D image data corresponding to the subject, captured in real time (during the radiotherapy treatment session); extracting features from the 2D image data; analyzing the extracted features with a machine learning regression model, trained to estimate a spatial transformation in the three dimensions of the reference volume; and outputting and using a relative motion estimation of the at least one region of interest, produced from the machine learning regression model, the relative motion estimation being estimated from the extracted features.

A radiotherapy system is configured to determine in vivo dose deposition of a radiotherapy treatment beam. The system includes the following components. A bi-planar magnetic resonance imaging (MRI) apparatus comprising a pair of spaced apart magnets. One of the magnets includes a hole proximal the centre thereof. A treatment beam source configured to generate a radiotherapy treatment beam. The treatment beam source is positioned to transmit the treatment beam through the hole in the magnet. A patient support configured to position a patient with the system so that a treatment target is proximal the treatment beam. A Positron Emission Tomography (PET) detector configured to obtain PET data of the treatment beam impacting the patient. The PET detector is positioned so that a transverse section of the patient that includes the treatment target lies between opposing portions of the PET detector.

A sterilizable device comprising electromagnetic transponders separated from one another by a flexible spacer material enclosed within radiofrequency-transparent sterilizable tubing for target tracking during prostate treatments, and method of use thereof.