Available Technologies
# of Displayed Technologies: 3 / 3
Applied Category Filter (Click To Remove): Image/Signal Processing
Mass Casualty Incident Virtual Reality Training Simulation
TS-062343 — The Need:
In the face of mass casualty incidents, first responders play a critical role in saving lives and minimizing the impact of disasters. However, traditional training methods using mock patients or mannequin simulators for mass casualty triage are costly, challenging to replicate, and requir…
- College: College of Arts & Sciences
- Inventors: Price, Alan; Berezina-Blackburn, Vitalya; Oliszewski, Alex; Swearingen, Scott; Winegardner, Zachary
- Licensing Officer: Dahlman, Jason "Jay"
Correcting Signal Inhomogeneity in Magnetic Resonance Imaging (MRI)
TS-062309 — The Need: Signal intensity inhomogeneity in Magnetic Resonance (MR) imaging presents a significant challenge, leading to degradation in image quality, obstructed diagnoses, reduced accuracy in quantitative analyses, and increased inter-scanner variability. The lack of effective inhomogeneity correct…
- College: College of Arts & Sciences
- Inventors: Wang, Jinghua; Constable, Robert; Lu, Zhong-Lin
- Licensing Officer: Dahlman, Jason "Jay"
Virtual image generation of immunohistochemical stained tissue sections using an artificial neural network
TS-039781 — Realistic immunohistochemical stained tissue section databases for training, certification, and machine standards.
Immunohistochemistry (IHC) is used to determine antigen distribution in a tissue and is widely used for diagnosis of cancers and other diseases. Diagnostic and research laboratories in the United States use locally devised IHC tissue slide preparation and scanning protocols to check scanner perfor…
- College: College of Medicine (COM)
- Inventors: Gurcan, Metin; Lozanski, Gerard; Senaras, Caglar
- Licensing Officer: Hampton, Andrew
