Varian Medical Systems International Ag

Siemens Healthineers International Ag

Varian Medical Systems, Inc.

Stefan Georg Scheib

Christof Baltes

Pascal Paysan

Toon Roggen

Frans Verhaegen

Mark Podesta

Sebastiaan M J J G Nijsten

Lucas C G G Persoon

Patrik Kunz

Jonas Honegger

Andrea Morgan

Nasim Givehchi

Kristijan Macek

Claas Wessels

Marius Heinrich Walter Koehl

Liangjia Zhu

Michal Walczak

Leigh Scott Johnson

Francesca Attanasi

Daniel Morf

Reto W Filiberti

John Van Heteren

Michael Huber

Roland Meier

Christian Stamm

Andrea Kisrákói

Systems and methods for cardiac radioablation treatment planning are disclosed. In some examples, a computing device receives an image volume and a dose matrix data. The computing device generates a first mesh of organ substructures for the organ based on substructure contours for the organ. Further, the computing device generates a second mesh of an isodose volume based on the dose matrix data. The computing device displays the first mesh of the organ substructures and the second mesh of the isodose volume within a same scene. In some examples, the computing device samples a plurality of dosage values, determines representative dosage values for each of a plurality of points along surfaces of a dose matrix, and generates an image for display based on the representative dosage values. In some examples, a segmentation model is generated for display based on the representative dosage values.

Methods and apparatus for determining radioablation treatment

Systems and methods for cardiac radioablation treatment planning are disclosed. In some examples, a computing device receives a first signal identifying a first event within a first workspace from a second computing device. The computing device determines a first action to apply to a first image displayed within a second workspace based on the first signal. The computing device generates a second image based on applying the first action to the first image within the second workspace, and displays the second image within the second workspace. In some examples, the first workspace is a radiation oncologist workspace and the second workspace is an electrophysiologist workspace. In some examples, the first workspace is an electrophysiologist oncologist workspace and the second workspace is a radiation oncologist workspace.

Radioablation treatment systems and methods

Embodiments described herein provide for determining a probability distribution of a three-dimensional point in a template feature map matching a three-dimensional point in space. A dual-domain target structure tracking end-to-end system receives projection data in one dimension or two dimensions and a three-dimensional simulation image. The end-to-end system extracts a template feature map from the simulation image using segmentation. The end-to-end system extracts features from the projection data, transforms the features of the projection data into three-dimensional space, and sequences the three-dimensional space to generate a three-dimensional feature map. The end-to-end system compares the template feature map to the generated three-dimensional feature map, determining an instantaneous probability distribution of the template feature map occurring in the three-dimensional feature map.

Dual domain tracking of target structures

A universal phantom includes a first phantom and a second phantom. The first phantom comprises a plurality of radiation markers. The second phantom comprises a plurality of optical markers. The second phantom is fixedly attachable to the first phantom in a predetermined position. A calibration method employs a universal phantom to consolidate the tasks of determining the isocenter of a radiation machine, calibrating optical devices, and registering the optical devices in a radiation coordinate system with origin at the isocenter.

Universal phantom for calibration and verification of optical and radiation systems

A computer-implemented method of performing a treatment fraction of radiation therapy comprises: determining a current position of a target volume of patient anatomy; based on the current position of the target volume, computing an accumulated dose for non-target tissue proximate the target volume; determining that the accumulated dose is less than a current value for a dose budget of the non-target tissue; and in response to the accumulated dose being less than the current value for the dose budget, applying a treatment beam to the target volume while the target volume is in the current position.

Beam-off motion thresholds in radiation therapy based on breath-hold level determination

A radiation therapy system is configured to enable imaging and treatment of a target volume during a single patient breath hold. The radiation system includes a rotating gantry on which are mounted a treatment-delivering X-ray source and multiple imaging X-ray sources and corresponding X-ray imaging devices. The multiple imaging X-ray sources and X-ray imaging devices enable the acquisition of volumetric image data for the target volume over a relatively short rotational arc, for example 30 degrees or less. Therefore, intra-fraction motion can be detected in near-real time, for example within about one second or less. The radiation therapy system can perform image guided radiation therapy (IGRT) that monitors intra-fraction motion using X-ray imaging. Detected anatomical variations can then either be compensated for, via patient repositioning and/or treatment modification, or the current treatment can be aborted.

Radiation therapy system with multiple X-ray imagers for near real-time localization

An apparatus includes: a processor configured for obtaining a first image that corresponds with a first multi-leaf collimator (MLC) configuration, wherein the first image is generated when the MLC is stationary, obtaining a second image that corresponds with a second MLC configuration, wherein the second image is generated when the MLC and/or another component of a radiation machine is being operated to track a motion, and performing an analysis based at least in part on the first image and the second image to obtain a result; and a non-transitory medium for storing the result.

Systems and methods for evaluating motion tracking for radiation therapy

An apparatus for assisting a selection of motion management technique for use with a treatment machine having an energy source, comprises: one or more input for obtaining motion trace of a target to be treated, and/or for obtaining motion data of a fiducial; and a motion management processor configured to determine motion management data based at least in part on at least a portion of the motion trace of the target and/or at least a portion of the motion data of the fiducial, wherein the motion management data indicates desirability and/or undesirability of one or more motion management option(s); wherein the motion management processor is also configured to output the motion management data for assisting the selection of the motion management technique for use with the treatment machine.

System and method for patient-specific motion management for treatment

Dosimetrical end-to-end quality assurance devices, systems, and methods for radiation devices using X-ray imaging, optical surface imaging, and electromagnetic navigational systems to position the quality assurance device either absolute or relative in space.

Dosimetric end-to-end verification devices, systems, and methods

Systems, devices, and methods for pre-treatment verification of radiation dose delivery in arc-based radiation therapy devices using a time-dependent gamma evaluation method.

Growing community of inventors

Waedenswil, Switzerland

Stefan Georg Scheib