A dose planning system, which takes the drug concentration distribution in human organs/tissues as well as the atomic composition distribution of human organs/tissues into consideration, and calculates the neutron/photon dose distribution in human organs/tissues under this drug concentration distribution using the Monte Carlo Method. Thereby the neutron/photon dose distribution in the organs/tissues of the human subject is calculated more accurately.

Disclosed herein are radiotherapy methods and systems that can display a workflow-oriented graphical user interface(s). A method comprises presenting a plurality of pages for display, each corresponding to a stage of a radiotherapy treatment for a patient; in response to receiving an indication that a surface of a patient is aligned, retrieving, from a radiotherapy file, a first image of an internal target aligned in accordance with treatment attributes; receiving a second image of the internal target; overlaying on a first page of the plurality of pages, the first image and the second image, the first page displaying a direction to position the internal target in the second image to align with the internal target in the first image; and when the internal target is aligned, presenting for display a second page of the plurality of pages corresponding to a subsequent stage of the radiotherapy treatment for the patient.

Techniques for generating radiotherapy treatment plans and establishing machine learning models for the generation and optimization of radiotherapy dose data are disclosed. An example method for generating a radiotherapy dose distribution using a generative model, trained in a generative adversarial network, includes: receiving anatomical data of a human subject that indicates a mapping of an anatomical area for radiotherapy treatment; generating radiotherapy dose data corresponding to the mapping with use of the trained generative model, as the generative model processes the anatomical data as an input and provides the dose data as output; and identifying the radiotherapy dose distribution for the radiotherapy treatment of the human subject based on the dose data. Another example method for training of the generative model includes establishing values of the generative model and a discriminative model of the generative adversarial network using adversarial training, including in a conditional generative adversarial network arrangement.

In a radiation therapy system, treatment X-rays are delivered to a target volume at the same time that imaging X-rays are also delivered to the target volume for generating image data of the target volume. That is, during an imaging interval in which imaging X-rays are delivered to the target volume, one or more pulses of treatment X-rays are also delivered to the target volume. In each pixel of an X-ray imaging device of the radiation therapy system, image signal is accumulated during portions of the imaging interval in which only imaging X-rays are delivered to the target volume and is prevented from accumulating in each pixel during the pulses of treatment X-rays.

Described herein are systems and methods for positioning a radiation source with respect to one or more regions of interest in a coordinate system. Such systems and methods may be used in emission guided radiation therapy (EGRT) for the localized delivery of radiation to one or more patient tumor regions. These systems comprise a gantry movable about a patient area, where a plurality of positron emission detectors, a radiation source are arranged movably on the gantry, and a controller. The controller is configured to identify a coincident positron annihilation emission path and to position the radiation source to apply a radiation beam along the identified emission path. The systems and methods described herein can be used alone or in conjunction with surgery, chemotherapy, and/or brachytherapy for the treatment of tumors.

The invention comprises a method and apparatus for tracking and/or imaging impact of a particle beam treating a tumor using one or more imaging systems positionable about the tumor, such as a positron emission tracking and/or imaging system, where resulting tracking/imaging data: dynamically determines a treatment beam position, tracks a history of treatment beam positions, guides the treatment beam, and/or images a tumor before, during, and/or after treatment with the charged particle beam.

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.

Systems and methods are described for the monitoring of patient motion via the detection of changes in capacitance, as measured using a capacitance position sensing electrode array. The changes in capacitance may be processed to determine a corresponding positional offset, for example, using a calibration data set relating capacitance to offset for each electrode of the array. The detected positional offset may be employed to provide feedback to a surgeon or operator of a medical device, or directly to the medical device for the control thereof. A medical procedure may be interrupted when the positional offset is detected to exceed a threshold. Alternatively, the detected positional offset may be employed to manually or automatically reconfigure a medical device to compensate for the detected change in position. Various configurations of capacitive position sensing devices are disclosed, including embodiment in incorporating capacitive sensing electrodes with a mask or other support structure.

For patient weight estimation in a medical imaging system, a patient model, such as a mesh, is fit to a depth image. One or more feature values are extracted from the fit patient model, reducing the noise and clutter in the values. The weight estimation is regressed from the extracted features.

A method may include obtaining first image data relating to a region of interest (ROI) of a first subject. The first image data corresponding to a first equivalent dose level may be acquired by a first device. The method may also include obtaining a model for denoising relating to the first image data and determining second image data corresponding to an equivalent dose level higher than the first equivalent dose level based on the first image data and the model for denoising. In some embodiments, the method may further include determining information relating to the ROI of the first subject based on the second image data and recording the information relating to the ROI of the first subject.