A project in collaboration with the NHS to reduce the radiation exposure of CT scans through utilising DNNs.
Computer Science has a collaborative project with the NHS University Hospital of North Durham to reduce the ionising radiation exposure of CT scans through utilising deep neural networks.
CT scans are expensive in terms of costs and availability, whereas deep generative neural networks are capable of rapidly reconstructing high-quality 3D CT-like images. The success and scalability of generating CT-like images from a small amount of 2D X-ray radiation exposure will have a significant impact on patients (thanks to reduced radiation exposure) and hospitals due to the prohibitively expensive nature of CT scans. Practitioners are obliged by law to consider available alternative techniques which have the same objective but expose patients to less ionising radiation.
Contact: Chris Willcocks
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