Elekta, Inc.

Rupert Brooks

Leila Pishdad

Michel Moreau

Systems and methods are provided for target tracking using a quality indicator during radiation therapy treatment. An exemplary method may include determining a localization result indicating a location of a target in a plurality of images representative of images acquired in a radiation therapy treatment session. The method may also include determining a quality indicator for each localization result. The method may further include extracting one or more features from each localization result. In addition, the method may include training the classifier using the localization result and one or more of the extracted features.

System and method for target tracking using a quality indicator during radiation therapy

An image-guided therapy delivery system includes a therapy generator configured to generate a therapy beam directed to a time-varying therapy locus within a therapy recipient, an imaging input configured to receive imaging information about a time-varying target locus within the therapy recipient, and a therapy controller. The therapy generator includes a therapy output configured to direct the therapy beam according to a therapy protocol. The therapy controller is configured to automatically generate a predicted target locus using information indicative of an earlier target locus extracted from the imaging information, a cyclic motion model, and a specified latency, and automatically generate an updated therapy protocol to align the time-varying therapy locus with the predicted target locus.

Therapy control using motion prediction based on cyclic motion model

A medical system includes a medical device and a controller. The medical device is controlled according to a control protocol. The controller is configured to receive a measured data set containing a current value at a current time and past values at past times of a physiologic signal measured on a recipient, calculate a difference signal at the current time based on the measured data set, and predict a difference value using the difference signal and a prediction algorithm. The difference value is a difference between a predicted future value of the physiologic signal at a future time and the current value. The controller is further configured to calculate the predicted future value based on the difference value and the current value and update the control protocol according to the predicted future value.

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Montreal, Canada

Rupert Brooks