Elekta, Inc.

Resonant Medical, Inc.

Sebastien Tremblay

Martin Emile Lachaine

Tony Falco

Fabienne Lathuiliere

Kevin J Brown

David Roberts

Joshua Freedman

Sergei Koptenko

Philippe Fortier

Devices, systems and techniques are used for cancer treatment. An example control device may be configured to be communicatively coupled to a radiation source of a radiotherapy device and a position sensor of the radiotherapy device. The example control device may be used to calculate, for a sliding window of a radiotherapy treatment, a positional error between: a measured target position signal determined from a series of images and sampled at the acquisition times of the images, and an estimated target position signal. The example control device may generate a computer-executable instruction configured to alter the radiotherapy treatment in response to the positional error violating a threshold.

Monitoring of system latency errors in radiotherapy for cancer treatment

Radiation treatment is delivered to a patient by positioning the patient such that a radiation beam is delivered to a lesion within the patient along a beam-delivery path while securing a diagnostic imaging device about the patient such that the diagnostic imaging device does not intersect the beam-delivery path. Radiation therapy is simultaneously delivered along the beam-delivery path while diagnostic images are obtained using the imaging device.

Adaptive radiotherapy treatment using ultrasound

Various implementations of the invention provide techniques and supporting systems that facilitate real-time or near-real-time ultrasound tracking for the purpose of calculating changes in anatomical features during a medical procedure. More specifically, anatomical features within a patient undergoing a medical procedure are tracked by obtaining temporally-distinct three dimensional ultrasound images that include the feature of interest and obtaining a targeted subset of ultrasound images focused on the feature. Based on the targeted subset of ultrasound images, a displacement of the feature is determined and image parameters used to obtain the targeted subset of ultrasound images are adjusted based on the displacement. This results in a time-based sequence of three dimensional images and targeted ultrasound images of the feature that identify changes in the position, size, location, and/or shape of the feature.

Feature tracking using ultrasound

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St. Jean-sur-Richelieu, Canada

Sebastien Tremblay