by | Sep 13, 2022 | Anastasio, Mark, Kelly, Brendan, Matthews, Thomas
— Background
Image reconstruction for any modern imaging technique is an optimization problem. Most image reconstructions methods are iterative in nature and produce sequential intermediate images that are compared to the raw acquisition data and subsequently updated to maximize the likelihood that t…
by | Jul 26, 2022 | Clayton, William, Don, Steven
— Technology Description
Researchers at Washington University in St. Louis have developed a device that automatically measures and displays body thickness to optimize X-ray image collection. This device will improve X-ray image quality and reduce the radiation exposure to patients.
The device es…
by | Jul 5, 2022 | Achilefu, Samuel, Meng, Hongyu, Mondal, Suman, O'Brien, Christine, Shmuylovich, Leonid
— Background
Temperature differences between tumor and healthy tissue due to increased blood flow and metabolic activity are exploited for thermal imaging (TI) as an adjunct imaging modality for cancer diagnosis. Despite many technological advances and recent improvements, TI has a limited tumor dept…
by | Mar 3, 2022 | Yablonskiy, Dmitriy, Zhao, Yue
— Technology Description
Researchers in Prof. Dmitriy Yablonskiy’s laboratory have developed patented neuroimaging techniques to identify pre-clinical and early stage Alzheimer’s disease (AD) using MRI-based biomarkers of amyloid accumulation and other pathological changes in the brain. …
by | Feb 25, 2022 | Li, Jr-Shin
— Technology Description
Engineers in Prof. Jr-Shin Li’s laboratory have developed a computationally efficient analytical technique to design exact RF pulse code sequences which optimize quantum applications such as MRI for medical diagnosis, NMR spectroscopy for uncovering protein structures …