by | Dec 17, 2019 | Yang, Deshan
— Technology Description
Prof. Deshan Yang and colleagues have developed automated systems and software toolkits to provide more accurate deformable image registration (DIR) for adaptive radiotherapy and other clinical applications. In particular, they have automated tedious and labor-intensive DIR …
by | Nov 18, 2019 | Altman, Michael, Green, Olga, Kavanaugh, James, Li, Hua, Mutic, Sasa, Wooten, Hasani
— Technology Description
A team of researchers at Washington University has created a machine learning method to quickly and reliably validate patient contours in digital medical images for radiation therapy and computer aided image analysis.
Currently, automated contouring tools for delineating tu…
by | Nov 1, 2019 | Ramani, Vijay, Sankarasubramanian, Shrihari
— Technology Description
Engineers in Prof. Vijay Ramani’s laboratory have developed an electrode decoupled redox flow battery (RFB) with stable electrolyte materials that can generate power densities comparable to all-Vanadium RFBs at less than half the cost.
RFBs are a promising option for …
by | Oct 29, 2019 | Chamberlain, Roger, Gruev, Viktor, Ivanovich, Darko
— Technology Description
Engineers in Prof. Roger Chamberlain’s laboratory have developed a low-cost multiplexing technology for high-speed optical communications in data centers and other short-haul applications. This visible light communication (VLC) system is designed to create distinct par…
by | Oct 22, 2019 | Zhang, Tiezhi
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About 70 million computed tomography (CT) scans are performed in the United State alone each year. Traditional helical scanners use a single point x-ray source that rotates around the patient, acquiring images in sequential slices, which results in high quality images. But these helical scanners a…