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 | Jul 14, 2020 | Hu, Peng, Macones, George, Qu, Yuan "Ed", Stout, Molly, Tuuli, Methodius, Zhao, Peinan
— Technology Description
An interdisciplinary team of researchers has developed a photoacoustic near-infrared (PANIR) probe to predict preterm birth by quantifying water content in cervical tissue (an early and objective indicator of cervical remodeling). This compact photoacoustic endoscopy probe u…
by | Jul 14, 2020 | Hu, Peng, Macones, George, Qu, Yuan "Ed", Stout, Molly, Tuuli, Methodius, Zhao, Peinan
— Technology Description
An interdisciplinary team of researchers has developed a photoacoustic near-infrared (PANIR) probe to predict preterm birth by quantifying water content in cervical tissue (an early and objective indicator of cervical remodeling). This compact photoacoustic endoscopy probe u…