University Health Network

Sunnybrook Research Institute

Engineering Services Inc.

Robert Weersink

David Anthony Jaffray

Andrew Hope

John Cho

Andrew A Goldenberg

Kieran Murphy

Marshall Stephen Sussman

Yi Yang

Michael D Sherar

Michael B Sharpe

Liang Ma

Claire McCann

Masoom A Haider

Jimmy Qiu

Walter Kucharczyk

Uri Lindner

John Trachenberg

Jeff Siewerdsen

Aidin Kashigar

Sean Davidson

Michael Daly

Jonathon Eubank

Various embodiments are described herein for a system and a method for treatment planning for providing ablative therapy to a patient. The treatment planning may involve segmenting images of the patient to define areas to receive treatment, defining trial parameters, simulating treatment of ablative therapy to the patient according to the trial parameters; analyzing a thermal dose distribution resulting from the simulated treatment to determine treatment effectiveness; determining when the treatment effectiveness meets a treatment effectiveness criteria; and providing an indication of the trial parameters when the treatment effectiveness meets the treatment effectiveness criteria.

System and method for minimally invasive thermal ablation treatment planning

Methods and systems for visualization of 3D parametric data in a 2D image. The set of 3D parametric data includes a plurality of voxels in 3D space each associated with at least one parametric value, and the set of 2D image data includes information about a known camera position and a known camera orientation at which the 2D image was obtained. A graphical representation is generated of the parametric values of the voxels corresponding to a viewing surface in 3D space. A virtual 2D view of the viewing surface is determined. The 2D image is displayed registered with the graphical representation of the parametric values of the voxels corresponding to the virtual 2D view.

Methods and systems for visualization of 3D parametric data during 2D imaging

A method, computer program product and processor for quantitatively registering a 2D endoscopic ROI in a 3D volumetric imaging dataset. An endoscopic dataset and a volumetric imaging are registered to a common coordinate system. A 2D endoscopic ROI is generated within the endoscopic imaging dataset. A 3D surface ROI is generated within the volumetric imaging dataset corresponding to the 2D endoscopic ROI, based on a projection of the 2D endoscopic ROI to the registered common coordinate system.

Quantitative endoscopy

A medical robot for use inside an MRI includes a horizontal motion assembly, a vertical motion assembly and a controller. The horizontal motion assembly and the vertical assembly each includes a motion joint, an ultrasonic motor operably connected to the motion joint and an encoder operably connected to the ultrasonic motor. The motor and encoder are positioned proximate to the joint of the respective horizontal motion assembly and vertical motion assembly. Each motor has a cross section positioned in one of the axial and sagittal plane of the MRI. A medical instrument assembly is operably connectable to one of the moving joint of the vertical motion assembly. The controller is operably connected to the horizontal motion joint and the vertical motion joint and it is adapted to be powered off when the magnetic resonance imager is being used to collect images.

MRI compatible robot with calibration phantom and phantom

Growing community of inventors

Toronto, Canada

Robert Weersink