— Technology Description
Researchers at Washington University in St. Louis have developed a two-stage neural network model, with CNN and BNN architecture, to segment carotid atherosclerotic plaque components based on multi-weighted MR images and measure the uncertainty of the segmentation output. Th…
— 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…
— 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…
— 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…
— 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. …
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