by | Feb 12, 2021 | Bergonzi, Karla, Culver, Joseph, Eggebrecht, Adam, Ferradal, Silvina
— Technology Description
Researchers in Prof. Joseph Culver’s laboratory have developed a patented, compact, lightweight functional neuroimaging device for long-term bedside monitoring. This technology, based on high-density diffuse optical tomography (HD-DOT), could be used as a surrogate for …
by | Feb 9, 2021 | An, Hongyu, Eldeniz, Cihat
— Technology Description
Researchers in Prof. Hongyu An’s laboratory have developed a new image processing system for faster acquisition of motion-corrected MR or PET/MR images. This technology could be expanded to multiple sampling schema to correct both respiratory and cardiac motion.
Liv…
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 | 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…