Abstract: Disclosed are systems and methods associated with myocardial ultrasonic fingerprinting using a radiomics-based approach and high-throughput computing on static cardiac ultrasound images. Radiomic features can be extracted from an ultrasound image associated with a patient. Myocardial characteristics are then determined by using the extracted features as inputs into trained phenotyping models. A clinical significance associated with the patient can then be interpreted based at least in part on the myocardial characteristics and the extracted radiomic features.

Abstract: Heart diseases are detected by producing a series of ultrasound images that depict the blood flow pattern in the left ventricle at successive phases of the cardiac cycle. The blood flow pattern images are produced by injecting a diluted contrast agent and tracking the contrast agent particles as they flow through the left ventricle by acquiring ultrasound images at a high frame rate.

Abstract: Heart diseases are detected by producing a series of ultrasound images that depict the blood flow pattern in the left ventricle at successive phases of the cardiac cycle. The blood flow pattern images are produced by injecting a diluted contrast agent and tracking the contrast agent particles as they flow through the left ventricle by acquiring ultrasound images at a high frame rate.