SNAC taps into Nvidia imaging tools to create AI algorithms for brain scan analyses ZDNet

Left image shows manual lesion segmentation, while right shows fully automated lesion segmentation. Sydney Neuroimaging Analysis Centre (SNAC) is building artificial intelligence (AI) tools to help radiologists automate laborious analysis tasks when it comes to examining brain scan imaging. SNAC researchers have developed AI-based algorithms using the Nvidia Clara suite of medical imaging tools, as well as cuDNN libraries and TensorRT inference software for a number of applications, including isolating brain images from head scans and segmenting brain lesions. According to neurologist professor at the University of Sydney's Brain and Mind Centre, Michael Barnett, within the one and a half years since SNAC integrated AI into its systems, it has helped "dramatically reduce the time taken to perform fairly straightforward structural assessments of MRI scans". "For example, a prominent metric we want to produce for a clinical trial would be brain volume, lesion number and lesion volume, [and] change of lesions from one scan to another. Those processes would take up to an hour on a single scan, now we have 90-95% of the time fully automated," he said.