— T-020357, T-020358, T-020744 Myocardial perfusion SPECT optimization
Technology Description
Researchers from the laboratory of Abhinav Jha at Washington University have devised methods to reliably improve and personalize myocardial perfusion SPECT imaging. The inventions include the following capa…
— T-019824 Multi-energy window approaches for quantitative SPECT
Technology Description
Researchers from the laboratory of Abhinav Jha at Washington University have devised a method to reliably obtain and significantly improve quantification of alpha-particle based SPECT tracer uptake, particularly …
— 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…
— 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…
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