Viewray Technologies, Inc.

Viewray Systems, Inc.

Viewray, Incorporated

Iwan Kawrykow

James F Dempsey

Shmaryu M Shvartsman

Thomas Chmielewski

Eyad Kishawi

Georgi Gerganov

Gerald E Fought

Gopinath Kuduvalli

Amit Sharma

Systems, methods, and computer software are disclosed that allow the automatic recalling of imaging parameters from computer memory for controlling an MRI system to perform treatment-day scans of a patient on a treatment couch in a radiotherapy system, prior to treatment. The treatment-day scans can be automatically initialized and the MRI system can then be controlled to perform the treatment-day scans according to the recalled imaging parameters. Reoptimized radiation treatment plan(s) can be automatically generated and predicted doses to anatomical structures of the patient based on the plan(s) can be displayed. Clinicians can be enabled to perform numerous reoptimization tasks simultaneously through parallel workflow interfaces and then a radiation therapy device can be controlled to deliver radiation according to a selected radiation treatment plan.

Systems, methods and computer software for optimized radiation therapy

A system including a diagnostic-quality CT scanner for imaging a patient, the diagnostic-quality CT scanner having an imaging isocenter and a radiation therapy device positioned adjacent the diagnostic-quality CT scanner, the radiation therapy device including a gantry carrying a radiation therapy beam source and having a radiation therapy isocenter separate from the imaging isocenter of the diagnostic-quality CT scanner. The system including a couch configured to position the patient for imaging and for radiation therapy by translating the patient between the diagnostic quality CT scanner and the radiation therapy device.

Radiation therapy systems and methods

Systems, methods, and computer software are disclosed that can include receiving a treatment prescription for a patient, obtaining a diagnosis-driven magnetic resonance imaging guided radiotherapy treatment and planning workflow (MRgRT&P workflow) associated with the treatment prescription from a workflow library, the diagnosis-driven MRgRT&P workflow having a parameter list comprising parameters utilized for MRI-guided radiation therapy. With the diagnosis-driven MRgRT&P workflow, any of the following can be performed: imaging with the MRI-guided radiation therapy system utilizing radiation therapy imaging parameters in the parameter list, generating a radiation therapy treatment plan utilizing radiation therapy planning parameters in the parameter list, and/or controlling an MRI-guided radiation therapy system utilizing radiation therapy delivery parameters in the parameter list.

Systems, methods and software for magnetic resonance image guided radiotherapy

Reference data relating to a portion of a patient anatomy during patient motion can be acquired from a magnetic resonance imaging system (MRI) to develop a patient motion library. During a time of interest, tracking data is acquired that can be related to the reference data. Partial volumetric data is acquired during the time of interest and at approximately the same time as the acquisition of the tracking data. A volumetric image of patient anatomy that represents a particular motion state can be constructed from the acquired partial volumetric data and acquired tracking data.

Magnetic resonance volumetric imaging

Systems, methods, and computer software relating to gating using non-parallel imaging planes, determining accumulated dose to tissues during radiotherapy with actual beam delivery information, stopping/adjusting/reoptimizing therapy based on such accumulated doses and the generation and use of prognostic motion models and prognostic-motion adapted radiation treatment plans are disclosed.

MRI guided radiotherapy

Particle radiation therapy and planning utilizing magnetic resonance imaging (MRI) data. Radiation therapy prescription information and patient MRI data can be received and a radiation therapy treatment plan can be determined for use with a particle beam. The treatment plan can utilize the radiation therapy prescription information and the patient MRI data to account for interaction properties of soft tissues in the patient through which the particle beam passes. Patient MRI data may be received from a magnetic resonance imaging system integrated with the particle radiation therapy system. MRI data acquired during treatment may also be utilized to modify or optimize the particle radiation therapy treatment.

Particle therapy with magnetic resonance imaging

Magnetic resonance (MR) guided radiation therapy (MRgRT) enables control over the delivery of radiation based on patient motion indicated by MR imaging (MRI) images captured during radiation delivery. A method for MRgRT includes: simultaneously using one or more radiation therapy heads to deliver radiation and an MRI system to perform MRI; using a processor to determine whether one or more gates are triggered based on at least a portion of MRI images captured during the delivery of radiation; and in response to determining that one or more gates are triggered based on at least a portion of the MRI images captured during the delivery of radiation, suspending the delivery of radiation.

Planning and control for magnetic resonance guided radiation therapy

An ion chamber has a chamber having an interior volume. There is a first electrode and a second electrode in the chamber and separated by a gap. A collector electrode is positioned between the first electrode and the second electrode. The collector electrode is shaped to occlude a portion of the first electrode from the second electrode.

Ion chamber for radiation measurement

A photon therapy delivery system can deliver radiation therapy to a patient via a photon beam. The system can utilize a controller configured to facilitate delivery of radiation therapy via a photon beam and also a particle beam. This can include receiving radiation therapy beam information for radiation therapy treatment of a patient utilizing the particle beam and photon beam. Also, patient magnetic resonance imaging (MRI) data can be received during the radiation therapy treatment. Utilizing the patient MRI data, real-time calculations of a location of dose deposition for the particle beam and for the photon beam can be determined taking into account interaction properties of soft tissues through which the particle beam passes.

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Sofia, Bulgaria

Iwan Kawrykow