Siemens Healthineers International Ag

Varian Medical Systems, Inc.

Varian Medical Systems International Ag

Jonas Honegger

Thomas Coradi

Tomasz Morgas

Marco Lessard

Benjamin M Haas

Tobias Gass

Christopher Boylan

Patrik Kunz

Stefan Georg Scheib

Andrea Morgan

Leigh Scott Johnson

Francesca Attanasi

Michael Huber

Systems and method for automatically generating structures, such as target volumes, in a treatment image using structure-guided deformation to propagate the structures from a planning image onto the subsequently acquired treatment image.

Systems, methods and devices for automated target volume generation

Systems and methods for cardiac radioablation treatment and planning are disclosed. In some examples, a computing device receives a first image of a patient that was captured for treatment planning. The computing device also receives target definition data characterizing a target area of the patient for treatment. Further, the computing device receives a second image of the patient captured on the day of, and prior to, treatment. The computing device determines whether there is a risk to an organ of the patient based on the first image, the target definition data, and the second image. The computing device also provides for display an indication of risk to the patient based on the determination. For example, the indication of risk can include a treatment target region and an organ at risk region superimposed over the second image. In some examples, the indication of risk includes expected dosage levels.

Methods and apparatus for automatically determining radioablation treatment risk

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

Systems and methods for implementing an adaptive therapy workflow that minimizes time needed to create a session patient model, select an appropriate plan for the treatment session, and treat the patient.

Streamlined, guided on-couch adaptive workflow

In a method of verifying patient identity, an image of an individual who is to receive radiotherapy is obtained and compared with a reference image of a patient to whom the radiotherapy is intended. Confirmation or negation of the individual to be the patient intended can be made based on the comparison of the image of the individual with the reference image of the patient.

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Zurich, Switzerland

Jonas Honegger