by | Apr 26, 2021 | Hawasli, Ammar, Jayasekera, Dinal, Lamichhane, Bidhan, Leuthardt, Eric, Ray, Wilson
— Technology Description:
Researchers at Washington University, led by Eric Leuthardt, have developed software that can identify specific brain regions involved in chronic low back pain from neuroimaging data. This software, powered by machine learning, relies on differences in cortical thickness an…
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 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…