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MRHistology complement to light sheet microscopy
Unmet Need Brain researchers frequently rely on mouse models to conduct basic research on brain structure/function, pathology, connection, and a host of mouse models of neurologic disease. Light sheet microscopy is an emerging technology that…
Smart microscope for diagnosing disease
Value Proposition Since its invention, the microscope has been optimized for interpretation by a human observer. Recently, however, deep learning algorithms have been developed for automated image analysis in a variety of important contexts, such…
Van-Cittert Zernike ultrasound imaging for improved contrast and noise reduction
Unmet Need Diagnostic ultrasound is used in the assessment of a broad range of medical conditions spanning tumors, heart abnormalities, joint inflammation, and thyroid diseases, which collectively affect millions of Americans annually. These conditions encompass…
Algorithms for analysis of knee radiographs
Value Proposition Knee osteoarthritis accounts affects at least 19% of American adults aged 45 years and older. It is a disabling joint disease with causes that remain poorly understood but are commonly attributed to aging…
Memory-efficient deep learning algorithms for computed tomography image reconstruction
Unmet Need Using high resolution images such as computed tomography (CT) has become a popular tool to guide medical interventions from radiotherapy to dental implantation. The market for CT services is expected to grow from…
Mask embedding for realistic high-resolution image synthesis
Value Proposition Software implementing artificial intelligence algorithms has the potential to transform many areas of medicine, including diagnostics. However, due to patient privacy concerns dataset size is limited which limits the efficacy of the neural…
Systems and methods to noninvasively enhance the visual acuity for patients with retinal prostheses
Unmet Need Degenerative eye diseases lead to a profound decrease in quality of life, and their incidence is on the rise. In high- and middle-income countries, age-related macular degeneration is the main and growing cause…
Virtual frequency-selective inversion method for fat suppression in MRI
Unmet Need In magnetic resonance imaging (MRI), data is acquired by a scanner that sends a sequence of radio frequency (RF) pulses into the tissue placed in a strong magnetic field. The magnetic field causes…
Specimen Box: A tangible interaction technique for object manipulation in world-fixed virtual reality displays
Unmet Need Despite the recent rapid development of virtual reality technologies, they still remain at the early stages of adoption partly due to the technical capabilities that greatly influence user experience. For example, selection and…
Predicting progression of osteoarthritis by feature analysis of bone radiographs
Unmet Need Osteoarthritis (OA) is a leading cause of disability among adults, it currently affects more than 27 million Americans and more than 300 million individuals worldwide. Currently, there are no validated predictors of OA…
Harvis: an interactive virtual reality tool for modification and simulation of blood flow
Unmet Need Cardiovascular disease (CVD) is the largest underlying cause of mortality in the United States, causing one in every three deaths and costing an estimated $316 billion dollars a year. In recent years, computational…
MRI image processing using virtual frequency-selective inversion
Unmet Need In magnetic resonance imaging (MRI), data is acquired by a scanner that sends a sequence of radio frequency (RF) pulses into the tissue placed in a strong magnetic field. The magnetic field causes…