6 results about "Coronary arterial tree" patented technology

A system (100) for generating a three-dimensional image of a coronary tree (449) includes a memory (151) and a processor (152). The processor (152) is configured to to: obtain a sequence of two-dimensional angiogram images (410) corresponding to a moving heart from a single viewpoint of an imaging device; and generate, using a trained machine learning model (430), a three-dimensional representation (211A) of the coronary tree (449) based on the sequence of the two-dimensional angiogram images (410) and cardiac motion of the moving heart.

A computer-implemented method includes obtaining, via a processing system comprising one or more processors, a three-dimensional (3D) coronary tree segmented from computed tomography (CT) cardiac scan data of a subject, wherein the 3D coronary tree is labeled. The computer-implemented method also includes obtaining, via the processing system, a standardized two-dimensional (2D) coronary base schematic representation of a generic coronary tree. The computer-implemented method further includes modifying, via the processing system, the standardized 2D coronary base schematic representation of the generic coronary tree based on the 3D coronary tree to generate a standardized 2D coronary personalized schematic representation of a coronary tree of the subject.

This application relates to a system, method, and apparatus for image-based analysis of plaque. In some embodiments, the methods described herein can be used for developing treatment plans. Treatment plans may include local treatment, systemic treatment, or both. In some embodiments, the approaches described herein can be used for stent selection. In some embodiments, the approaches described herein can be used for surgical planning, including robot-assisted surgical planning. In some embodiments, the approaches described herein can be used for image normalization. In some embodiments, the approaches described herein can be used to identify a threshold for plaque calcification. In some embodiments, the approaches described herein can be used to identify thin-capsule fibrous atheroma. In some embodiments, the approaches described herein can be used for reconstruction of the coronary artery tree. Some embodiments are intended for risk stratification of coronary artery disease.

A computer-implemented method includes obtaining, via a processing system comprising one or more processors, a three-dimensional (3D) coronary tree segmented from computed tomography (CT) cardiac scan data of a subject, wherein the 3D coronary tree is labeled. The computer-implemented method also includes obtaining, via the processing system, a standardized two-dimensional (2D) coronary base schematic representation of a generic coronary tree. The computer-implemented method further includes modifying, via the processing system, the standardized 2D coronary base schematic representation of the generic coronary tree based on the 3D coronary tree to generate a standardized 2D coronary personalized schematic representation of a coronary tree of the subject.

A medical image processing method for determining a fractional flow reserve of a stenotic lesion through a coronary artery from medical image data is disclosed. The medical image data includes a set of images of a coronary artery region of a patient. The coronary artery region includes the stenotic lesion. The method comprises the following steps: reconstructing a three-dimensional coronary artery tree model of a patient according to medical image data; determining a stenosis lesion size according to the three-dimensional coronary artery tree model of the patient; simulating blood flow in the three-dimensional coronary artery tree model of the patient to determine a model flow; predicting a model pressure drop across the stenotic lesion using an analytical model depending on the stenotic lesion size according to the model flow; a fractional flow reserve through the stenotic lesion is determined based on the model pressure drop.