Respiratory motion system for improved lung tumor imaging

U of T professor Shouyi Wang has developed a mathematical model based, personalized respiratory motion system for more precise lung tumor imaging.

Respiratory gating, or a patient’s motion breath-by-breath, is monitored,  and the data is used to focus a radiology beam on the target when the chest cavity is relaxed.  This is the stage that provides the best picture of a cancerous site.

Current techniques depend on expensive, uncomfortable, scanning equipment pressed on a patient’s chest.  This often produces only moderately accurate images.


Wearable Tech + Digital Health San Francisco – April 5, 2016 @ the Mission Bay Conference Center

NeuroTech San Francisco – April 6, 2016 @ the Mission Bay Conference Center

Wearable Tech + Digital Health NYC – June 7, 2016 @ the New York Academy of Sciences

NeuroTech NYC – June 8, 2016 @ the New York Academy of Sciences