Invention Title Ultrasound Imaging and Deep Learning Methods and Apparatus for Multi-dimensional image-based Biomarkers

Researchers at Rensselaer Polytechnic Institute are developing a non-invasive and user-friendly wearable device for monitoring blood pressure, blood glucose, and biomarkers, which could improve quality of life, decrease healthcare expenditures, and allow for early intervention for potentially serious health events. Currently, a major area is interest within the medical wearable device industry is the real-time monitoring of blood pressure. More than 100 million adults in the United States and a third of the worldwide population suffer from high blood pressure.

Nanoparticle-enabled X-ray Magnetic Resonance Imaging (NXMR)

Researcher Ge Wang and team created imaging systems and methods using excited nanoparticles coupled between CT and MRI to provide faster localization information for targeted, high resolution imaging. The study of biological systems is a complex pursuit that requires sufficient models and tools to measure responses to controlled changes in the system, however, there has been a lack of appropriate microscopy allowing insight into deep 3D models of molecular and cellular function due to the diffusive properties of optical light. Wang and his team overcame limitations in the field by using nan

Low-dimensional manifold constrained disentanglement network for metal artifact reduction in CT images

Commonly implanted medical devices containing metal parts (i.e., dental fillings, coils, hip replacements) generate streaks in computed tomography (CT) images, thereby impeding diagnosis and interfering with radiation therapy planning. Inventors at RPI created a novel technique to boost the efficacy of neural networks for metal artifact reduction (MAR) in CT images. Currently, deep neural network-based techniques need to be trained on synthetic, paired images. Unfortunately, these images may not accurately reflect clinical reality and technical factors.

CASE - Computer Aided System Editor

Researchers at RPI have conceived a technical article publication system. “CASE” or “Computer-Aided System Editor'', may improve the quality of peer review, reduce publication costs, shorten review times, and facilitate research progress. Whereas centralized publication systems rely on authors to pay “open access” publication fees and volunteer peer reviewers, CASE provides a metric to compensate authors and reviewers as part of a crowdsourced, sustainable publishing ecosystem.

3D FEW-VIEW CT IMAGE RECONSTRUCTION FROM PROJECTION DATA

Inventors at RPI have invented a technology that can overcome the issues seen in few-view CT scans. CT scans use a large number of X-rays exposing the patient to ionizing radiation during this procedure. Though the risk of cancer from a CT scan might be extremely low, there is still a concern that the combined risks of scanning for diagnoses and/or treatment could lead to a greater number of cancers in the future. Few-view CT image reconstruction is an important approach to reduce the ionizing radiation dose.

Three-dimensional scaffolds, methods for fabricating the same, and methods of treating a peripheral nerve or spinal cord injury

Spinal Cord Injury (SCI) can result in catastrophic loss of function. In the US, 450,000 people live with SCI. Ongoing neuroscience research focuses on ways to improve nervous tissue regeneration, including development of innovative biomaterials. Implantable scaffolds composed of aligned polymer fibers have shown considerable promise in directing regenerating axons in vitro and in vivo. Highly aligned polymer fibers are necessary for neural tissue engineering applications to ensure that axonal extension occurs efficiently through a regenerating environment.

3D determination of cell chirality

Detecting differences at the cellular level is an ongoing problem which, if successfully addressed, could help solve several prevalent ailments, including cancers and prenatal diseases. Normal tissue function requires appropriate cell positioning and directional motion. This property, known as chirality, can be altered by genetic and environmental factors, leading to, for example, birth defects and tumor formation. Current methods to diagnose cancer are based on biomarkers, imaging, and analysis of tissue specimens.

X-RAY PHASE-CONTRAST IMAGING

The cross-section of an X-ray phase shift image is a thousand times greater than that of X-ray attenuation in soft tissue over the diagnostic energy range implying phase imaging can achieve a much higher signal-to-noise ratio and substantially lower radiation dose than attenuation-based X-ray imaging. Grating interferometry is a state of the art X-ray imaging approach, which can simultaneously acquire information of X-ray phase-contrast, dark-field, and linear attenuation. This imaging modality can reveal subtle texture of tissues.

Attenuation Map Reconstruction From TOF PET Data

Time of flight PET (TOF-PET) is an advance over traditional PET that uses the time difference in detection of the two photon events. TOF information provides better localization of the annihilation event along the line formed by each detector pair, resulting in an overall improvement in signal to noise ratio (SNR) of the reconstructed image. This technology uses a direct estimation of the sinogram only from TOF PET data.

Computed Tomography Based on Linear Scanning

Computed Tomography (CT) is an important tool in diagnostic imaging. It plays a key role in diagnosis and intervention. Many advanced CT systems use wide detector arrays, multiple sources, andor very fast rotation speed, for important clinical applications (e.g., coronary artery and whole organ perfusion imaging). As a result, modern CT scanners are expensive and are typically used by major hospitals and clinics in developed countries. Over the past decades, CT systems or methods have been proposed assuming linear translation-based scanning.