Congratulations to James Grover, whose first paper on machine learning for ventilation imaging, was reviewed and highlighted by PhysicsWorld.
James’ work applies a fast-growing computational method, machine learning, to the task of generating functional images from CT scans. For lung cancer patients receiving radiation therapy, this means that the healthier areas of the lung can be identified, and preferentially spared from higher doses of radiation. If the healthier lungs are spared, data suggests that there will be fewer side effects to patients from the radiation therapy treatment.
Read the article here: https://physicsworld.com/a/neural-network-generates-lung-ventilation-images-from-ct-scans/