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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…
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…
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…
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…
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…
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,…
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…
Adaptive Scanning for Framerate or Resolution Improvement with Point- and Line-Scan Imaging Modalities
Unmet Need Optical Coherence Tomography (OCT) is a noninvasive imaging technology used to obtain high resolution cross-sectional images of biologic tissues, especially the retina. OCT testing has become a standard of care for the assessment…
Fiber optic probe with integrated photodetector capabilities
Unmet Need Light-based diagnostics is a non-intrusive procedure that can be used to monitor chemotherapy treatment efficacy. Optical imaging additionally has the capacity for roles in diagnosis and surgery guidance. Currently, many devices for optic…
An optical coherence tomography system capable of automatically and accurately imaging eyes without the use of chinrests
Unmet Need Optical coherence tomography (OCT) has revolutionized structural imaging in the eye’s anterior segment and retina. Ophthalmologists now routinely employ OCT in managing ocular diseases, including age-related macular degeneration, diabetic retinopathy, glaucoma, and corneal…
Computational methods to introduce image contrast from multidimensional data
Unmet Need Three-dimensional (3D) imaging techniques, such as optical coherence tomography (OCT), have been successfully used as an in vivo diagnostic modality for a wide range of clinical areas including ophthalmology, cardiology, and gastroenterology. For…
Automatic segmentation software to diagnose retinopathy of prematurity (ROP) from optical coherence tomography images in preterm infants
Unmet Need Retinopathy of prematurity (ROP) is a developmental vascular proliferative disorder that occurs in approximately 50-70% of preterm infants and is a leading cause of childhood blindness. The most critical factor in identifying ROP…