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.

The present invention relates to a medical data processing method of determining the representation of an anatomical body part (2) of a patient (1) in a sequence of medical images, the anatomical body part (2) being subject to a vital movement of the patient (1), the method being constituted to be executed by a computer and comprising the following steps: a) acquiring advance medical image data comprising a time-related advance medical image comprising a representation of the anatomical body part (2) in a specific movement phase; b) acquiring current medical image data describing a sequence of current medical images, wherein the sequence comprises a specific current medical image comprising a representation of the anatomical body part (2) in the specific movement phase, and a tracking current medical image which is different from the specific current medical image and comprises a representation of the anatomical body part (2) in a tracking movement phase which is different from the specific movement phase; c) determining, based on the advance medical image data and the current medical image data, specific image subset data describing a specific image subset of the specific current medical image, the specific image subset comprising the representation of the anatomical body part (2); d) determining, based on the current medical image data and the image subset data, subset tracking data describing a tracked image subset in the tracking current medical image, the tracked image subset comprising the representation of the anatomical body part (2).

Systems and methods for treating a lung disease including capturing a first set of images of at least a portion of a lung displaying symptoms of a lung disease, generating a three dimensional model from the first set of images, locating a target nerve proximate the portion of the lung, generating a treatment plan, and non-invasively denervating the target nerve based on the treatment plan such that the function of the portion of the lung is affected.

Systems and techniques for reliably predicting a motion phase for non-invasive treatment of the heart. The system and methods may account for both respiratory and cardiac cycles in characterizing the motion of the heart relative to the irradiation source. The system and methods may also include a heartbeat sensor that provides an independent reference indication of the cardiac phase to provide real-time or near real-time quality assurance of a current predicted phase indication. The disclosed system and methods may be configured for use in one of two modes: “beam-gating” and “beam-tracking”. For beam-gating, the predicted cardiac phase is compared to the desired gating window, based on the patient-specific treatment plan, to determine if a gate ON or gate OFF signal should be set. For beam-tracking, the predicted cardiac phase is used to load the appropriate beam parameters based on the patient-specific and motion phase-dependent treatment plans.

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 system for adjusting radiation target sites dynamically according to the moving states of a target object and for creating a lookup table of the moving states includes a detection chip, a radiation generation device, and a lookup table. The detection chip can be fixed on the target object to detect the current moving state of the target object. The detection chip or the radiation generation device, both configured for wireless signal transmission to each other, can activate or deactivate the radiation emitters of the radiation generation device individually according to the current moving state of the target object and the contents of the lookup table. As the system uses wireless transmission, and the lookup table has recorded the working state of each radiation emitter in each moving state of the target object, radiotherapy can be performed without a large number of tubes or sensors.

Techniques for adjusting radiotherapy treatment for a patient in real time are provided. The techniques include operations comprising: obtaining, during delivery of a radiotherapy treatment fraction to a patient, one or more images of the patient at a first rate; generating patient motion information at a second rate based on the one or more images obtained at the first rate; receiving, during delivery of the radiotherapy treatment fraction, radiotherapy treatment device settings at a third rate; computing, during delivery of the radiotherapy treatment fraction, dose delivered to the patient with a first level of accuracy based on the generated patient motion information and the radiotherapy treatment device settings; and determining, during delivery of the radiotherapy treatment fraction, a real-time measure of accumulated dose delivered to the patient with a second greater level of accuracy than the first level of accuracy using one or more prior dose computations.

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.

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.

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.