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3D cavitation mapping to improve laser lithotripsy for the treatment of kidney stones

3D cavitation mapping to improve laser lithotripsy for the treatment of kidney stones

Unmet Need The prevalence of kidney stones is on the rise, having increased from approximately 4% in the 1970s to nearly 10% today. Approximately 1 in 10 of Americans will experience a kidney stone in…

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Systems and methods for predicting real-time behavioral risks using everyday images

Systems and methods for predicting real-time behavioral risks using everyday images

Unmet Need Daily environments can significantly impact health outcomes, influencing factors such as stress, sleep, nutrition, and harmful behaviors. Fall risk is a major concern, particularly for older adults, with environmental factors like poor lighting…

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Radiation Treatment Planning Software with Integrated Computer Aided Tumor Detection

Radiation Treatment Planning Software with Integrated Computer Aided Tumor Detection

Unmet Need Radiation is an effective component of cancer therapeutics and is utilized in approximately 50% of all cancer cases. For treatment to be effective, a treatment plan must be created that takes into consideration…

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Revolutionizing material analysis with 5x faster broadband optimized time-temperature superposition (BOTTS) for rapid viscoelastic property insights

Revolutionizing material analysis with 5x faster broadband optimized time-temperature superposition (BOTTS) for rapid viscoelastic property insights

Unmet Need The Materials Genome Initiative Strategic Plan was adopted by the US in 2021 for the purposes of increasing knowledge on material structure property relationships to accelerate material development and innovation. This plan necessitates…

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Feature-free photogrammetric 3D imaging with cameras under unconstrained motion

Feature-free photogrammetric 3D imaging with cameras under unconstrained motion

Unmet Need With the increasing development of camera-based sensors for applications such as virtual and augmented reality, there is more demand for technologies that can image 3D structures and create interpretable digital representations – a…

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Mask embedding for realistic high-resolution image synthesis

Mask embedding for realistic high-resolution image synthesis

Unmet Need General adversarial networks (GANs) are machine learning networks made of two neural networks competing with each other. They are used in medical imaging to generate training datasets for various medical imaging diagnostic processing…

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Swipe-to-Locate: Enhancing Real-World Object and Event Localization

Swipe-to-Locate: Enhancing Real-World Object and Event Localization

Unmet need Conventional techniques for mapping the location of real-world objects or events are successful at identifying the location of static objects at a gross level. Mobile devices such as smartphones typically include GPS for…

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Dark-Blood Delayed-Enhancement MRI: Improved Tissue Contrast and Blood-Pool Signal Suppression

Dark-Blood Delayed-Enhancement MRI: Improved Tissue Contrast and Blood-Pool Signal Suppression

Unmet Need Delayed-enhancement MRI (DE-MRI) is the standard for imaging myocardial infarction (MI), providing high-resolution maps of infarcted and viable myocardium. However, DE-MRI often suffers from poor differentiation between infarcted myocardium and the bright left…

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Vectorial Fourier ptychography for high-resolution widefield polarization imaging in pathology and research

Vectorial Fourier ptychography for high-resolution widefield polarization imaging in pathology and research

Unmet Need In the United States, over 10,000 diagnostic imaging centers rely on microscopy for diagnostics, with 70-80% of healthcare decisions dependent on timely pathology-based tests, a demand that is expected to grow. Fourier ptychography…

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Advanced remote monitoring and prediction of deep-seated landslide risk using SAR and physical modeling

Advanced remote monitoring and prediction of deep-seated landslide risk using SAR and physical modeling

Unmet Need Deep-seated landslides are some of the most catastrophic natural hazards, gradually moving almost imperceptibly over many years before suddenly collapsing in a dramatic fashion. Conventional prediction methods depend on physical access through boreholes,…

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Methods to implement three-dimensional (3D) sensing depth cameras

Methods to implement three-dimensional (3D) sensing depth cameras

Unmet Need Real-time high-resolution three-dimensional (3D) imaging is highly desirable in a wide range of fields including biomedical imaging, robotics, virtual/augmented reality, 3D printing, and autonomous vehicles. To accomplish 3D imaging, sensing depth cameras have…

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Machine learning algorithm to improve performance of hearing aids and cochlear implants in reverberant environments

Machine learning algorithm to improve performance of hearing aids and cochlear implants in reverberant environments

Unmet Need In the US, nearly 30 million adults require assistive hearing technology such as hearing aids and cochlear implants. Even with assistive devices, hearing impaired individuals have particular trouble with speech recognition in reverberant…

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