by | Sep 24, 2020 | Song, Sheng-Kwei "Victor", Ye, Zezhong
— Researchers in Prof. Sheng-Kwei (Victor) Song’s laboratory have developed diffusion histology imaging (“DHI”), a tool to provide a non-invasive diagnosis for accurately grading tumors and guiding treatment decisions. This “virtual histopathology” technology classifies mic…
by | Sep 18, 2020 | Jha, Abhinav Kumar, Liu, Ziping, Moon, Hae Sol, Rahman, Md Ashequr, Yu, Zitong
— Engineers in Washington University’s Computational Medical Imaging Lab have developed automated, machine-learning techniques to improve nuclear medicine imaging (SPECT and PET). These tools include estimation-based segmentation methods to define boundaries and ASC (attenuation and scatter comp…
by | May 26, 2020 | Chu, Wenhua, Zhou, Dong
— Technology Description
Researchers at Washington University in St. Louis (WUSTL) have developed a new method and device for the preparation of flourine-18 (F-18) radiolabeled compounds as positron emission tomography (PET) tracers. PET is a widely used clinical and research imaging tool that will …
by | May 26, 2020 | Zhou, Dong
— Technology Description
Researchers at Washington University in St. Louis (WUSTL) have developed a new method and device for the preparation of flourine-18 (F-18) radiolabeled compounds as positron emission tomography (PET) tracers. PET is a widely used clinical and research imaging tool that will …
by | Apr 13, 2020 | Biswas, Pratim, Li, Jiayu
— Technology Description
Prof. Pratim Biswas and colleagues have developed an artificial intelligence platform to provide accurate, low-cost analysis of air and water quality by integrating data gathered from particulate matter (PM) sensors and other sources. This technology could be used to make th…