High-Resolution and Artifact-Free Measurement and Visualization of Tissue Strain by Processing MRI Using a Deep Learning Approach

This technology includes a system for automatic artifact-free measurement and visualization of tissue strain by MRI at native resolution. The investigation of regional soft tissue mechanical strain can serve as a unique indicator for different related disorders. For example, measurement of myocardial tissue during contraction can help calculate, track, and assess cardiac stress. Currently, methods such as tagging MRI (tMRI) are used for imaging soft tissue deformation. Despite being well validated, methods such as tMRI suffer from low spatial and temporal resolution.

Compatible 3-D Intracardiac Echography Catheter and System for Interventional Cardiac Procedures

This technology includes a versatile intravascular 3D intracardiac echocardiography (ICE) catheter that can operate under conventional X-ray and MRI for use during interventional cardiac procedures. The 3D MRICE and custom, GPU-based, real-time imaging system are also included. Structural heart disease affects more than 2.9% of the US population, and common interventional procedures can be difficult because of limitations in catheter devices and inadequate image guidance.

A Machine Learning Strategy to Improve the Fidelity of Imaging Time-Varying Signals to Improve Clinical Imaging

This technology includes a new technique to improve the fidelity of time-varying signals acquired in the dynamic contrast enhanced (DCE) imaging. This technique enhances the time-varying signals in a given DCE image series through deep convolutional neural networks (CNN) to learn the relationship of signal versus contrast concentration from other series of different contrast doses.

Replicative-Defective Mutant Human Cytomegalovirus: Potential Applications in Vaccinology and Cancer Immunotherapy

The potential applications of a replicative-defective mutant form of human cytomegalovirus (HCMV) are significant in the fields of vaccinology and cancer immunotherapy. This innovative approach involves engineering a mutant HCMV that can selectively target specific cells. Firstly, it holds promise as a vaccine candidate for protecting against HCMV infection, given the success of a similar strategy against herpes simplex virus in animal models.

Optimizing RSV Infection Monitoring and High-Throughput Screening Through GFP Expression in the First-Gene Position of Respiratory Syncytial Virus (RSV) Strain A2

In this technology, researchers have engineered a modified version of Respiratory Syncytial Virus (RSV) strain A2 using reverse genetics to incorporate green fluorescent protein (GFP) into the first-gene position. This genetic modification allows for the efficient monitoring of RSV infection and the screening of potential chemical inhibitors. The GFP expression can be easily detected through fluorescence microscopy in live or fixed cells, providing a sensitive tool for both research and drug discovery.

Auscultatory Training System and Telemedicine Tool with Accurate Reproduction of Physiological Sounds

This CDC developed auscultatory training apparatus includes a database of prerecorded physiological sounds (e.g., lung, bowel, or heart sounds) stored on a computer for playback. Current teaching tools, which utilize previously recorded sounds, suffer from the disadvantage that playback environments cause considerable distortion and errors in sound reproduction. For example, to those trainees using such systems, the reproduced respiratory sounds do not “sound” as if they are being generated by a live patient.

Computer Controlled Aerosol Generator with Multi-Walled Carbon Nanotube Inhalation Testing Capabilities

This invention pertains to a CDC developed sonic aerosol generator that provides a controllable, stable concentration of particulate aerosol over a long period of time for aerosol exposure studies. Specifically, in situ testing data indicate uniform aerosol stability can be maintainable for greater than 30 hours at concentrations of 15 mg/m3 or more. Additionally, the technology was specifically developed for, and validated in, animal studies assessing exposure to airborne multi-walled carbon nanotubes (MWCNT).

Local Positioning System for Position-Time-Condition Correlation, Data-logging and Analysis

This CDC-developed technology describes an automated system for monitoring worker hazard exposures by recording data about where and when hazards occur in a workplace or other environment. This allows the hazards to be avoided and harmful exposures and risks reduced. This field-tested technology consists of an integrated, hand-held electronics instrument and software system that will precisely correlate multiple exposure levels with position coordinates of the user and features real-time data acquisition.

Improved Acoustic Plethysmograph System for Noninvasive Measurement of Pulmonary Function

CDC researchers have developed a novel acoustic whole body plethysmograph (AWBP) that allows measurement of tidal volume in lab animals, independent of gas compression in the lung. This system provides particular advantages over the traditional whole body plethysmograph (WBP) when measuring model animals with increased gas compression due to increased airway resistance or increased acceleration in the breathing pattern.

Hearing Safety Devices: System for Monitoring Exposure to Impulse Noise

This CDC-developed technology entails a system for monitoring and assessing the risk of auditory damage from exposure to impulse noise, such as noise created by construction machinery and firearms. Noise dosimeters have been used extensively over the past two decades to document personal exposure to noise and assure workplaces comply with permissible noise exposure levels. However, due to older methods of calculating "noise dose," current noise dosimeters often inaccurately determine the risk of an impulse event.
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