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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…
Clinically-Linked ECG and Arrhythmia Repository (CLEAR)
Invention Summary Duke inventors have developed a database of digital 12- lead ECG samples that represent key rhythms of cardiac disorders. Each patient’s disorder was validated by a licensed and board-certified cardiovascular medicine physician to…
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…
A high-speed echocardiographic system that can assess cardiac function in real-time
Unmet Need Since its inception in the mid-1970s, real-time echocardiography employing phased array principles has had a significant impact on the practice of medicine particularly in cardiology. The real-time or live nature of image formation…
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…
Algorithm for improving the clarity of electrocardiograms for patients with LVADs
Unmet Need Electrocardiogram (ECG) measurements are an important tool for monitoring patient heart health and can detect issues related to arrythmias, heart attacks, and cardiomyopathy. Heart health is especially important to monitor in patients who…
T2-preparation optimized for cardiac imaging
Value Proposition Myocardial infarction is the leading cause of death in the United States. T2-imaging of the heart is used to detect areas of myocardial edema which may aid in the diagnosis of myocardial infarction.…
An algorithm for improving tissue ablation accuracy in the treatment of atrial fibrillation
Value Proposition Irregular and rapid heartbeat, commonly referred to as atrial fibrillation, is the most prevalent form of heart disease. The poor blood flow resulting from atrial fibrillation can cause short breath, weakness, and even…
A deep machine learning algorithm to aid the diagnosis of cardiac transplant rejection
Value Proposition Transplant rejection remains a significant clinical concern following solid organ transplants, including cardiac transplantation. Although endomyocardial biopsy to diagnose cardiac allograft rejection is the gold standard of histologic grading of biopsy samples for…
A software for more easily monitoring physiological data through improved visualization and machine learning analysis
Value Proposition With inexpensive wearable sensors, physiological data monitoring has extended beyond clinical anesthesia and emergency medicine and into in-home healthcare. Waveforms such as electrocardiography (ECG) and photoplethysmography (PPG) contain valuable information about a patient’s…