Wisconsin Alumni Research Foundation

Technology

System For Characterizing Brain Condition

A sensitive measure of brain condition simultaneously evaluates multiple measurements of water diffusion in brain tissue combined so as to correct for covariance between the different data types of th...
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Andrew Alexander, Douglas Dean, Gregory Kirk, Brittany Travers | P160358US01

Technology

Dual Flow Generative Computer Architecture

A machine learning architecture employs two machine learning networks that are joined by a statistical model allowing the imposition of a predetermined statistical model family into a learning process...
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Vivek Prabhakaran, Vikas Singh, Sterling Johnson, Haoliang Sun, Ronak Mehta, Hao Zhou | P190192US01

Technology

Identification Of Respiratory Phases In A Medical Procedure

The present disclosure relates to automatically determining respiratory phases (e.g., endinspiration/expiration respiratory phases) in real time using ultrasound beamspace data. The respiratory phases...
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Bryan Bednarz, Sydney Jupitz, Jhimli Mitra, Thomas Foo, Desmond Yeo, Sudhanya Chatterjee | P200030US01

Technology

Systems And Methods For Magnetic Resonance Phantoms

Embodiments of the disclosure provide a magnetic resonance (MR) phantom including a housing, a base medium disposed within the housing, and one or more compartment extending through the base medium, t...
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Alejandro Roldán-Alzate, David Rutkowski, Diego Hernando Arribas | P200228US01

Technology

Improved Phantom for Quantitative Diffusion MRI

Among numerous magnetic resonance imaging contrast mechanisms, the insights that diffusion-weighted MRI provides into microstructural tissue changes make it an excellent biomarker for detection and ev...
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Scott Reeder, Diego Hernando Arribas, Xiaoke Wang | P150322US01

Technology

Magnetic Resonance Imaging of Metabolites

In magnetic resonance imaging (MRI), tissue is scanned using magnetic fields that excite atoms and cause them to emit signals. These nuclear magnetic resonance (NMR) signals can be processed into an i...
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Scott Reeder | P06190US

WARF