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…
by | Jul 22, 2020 | Anastasio, Mark, Chen, Yujia, Guan, Huifeng
— Technology Description
Joint reconstruction (“JR”) is a patented image reconstruction technique for “single shot” edge illumination x-ray phase-contrast tomography (EIXPCT). This system uses standard x-ray detection hardware and enables faster image acquisition times, lower…
by | Apr 30, 2020 | Chung, Charles, Kovacs, Sandor, Shmuylovich, Leonid
— Technology Description
Researchers in Prof. Sandor Kovacs’ laboratory developed a patented, non-invasive, load-independent method to measure the intrinsic diastolic performance of the heart. This load-independent index of filling (LIIF) can be incorporated into the software of echocardiogram…