Embodiments include a system for determining cardiovascular information for a patient. The system may include at least one computer system configured to receive patient-specific data regarding a geometry of the patient's heart, and create a three-dimensional model representing at least a portion of the patient's heart based on the patient-specific data. The at least one computer system may be further configured to create a physics-based model relating to a blood flow characteristic of the patient's heart and determine a fractional flow reserve within the patient's heart based on the three-dimensional model and the physics-based model.

This disclosure describes a system that determines hemodynamic parameters of a patient. The system may include a transesophageal echocardiogram (TEE) probe including an ultrasound transducer comprising a matrix array of piezoelectric elements, the transesophageal echocardiogram (TEE) probe configured to obtain a plurality of clinically relevant views of the patient's heart from a single position. The system may include one or more processors, operatively connected to the TEE probe. The one or more processors are configured by machine-readable instructions to control the TEE probe by electronically steering an ultrasound beam provided by the ultrasound transducer to obtain the plurality of clinically relevant views of the patient's heart; receive the plurality of clinically relevant views of the patient's heart provided by the TEE probe; and determine one or more physiological parameters of the patient's heart based on the received plurality of clinically relevant views of the patient's heart.

A process of monitoring heart valve function involves placing one or more transducers on a patient's body, receiving, using the one or more transducers, one or more signals indicating a blood flow velocity profile associated with a heart of the patient, identifying a first peak in the blood flow velocity profile, and determining a severity of a dysfunction of a first heart valve of the heart based on the first peak.

An ultrasonic wave diagnostic apparatus according to an embodiment includes processing circuitry. The processing circuitry acquires a plurality of pieces of volume data obtained through image capturing of a region including the cardiac ventricle of a subject for a predetermined duration. The processing circuitry estimates motion of tissue of the cardiac ventricle by using the pieces of volume data. The processing circuitry calculates, based on a result of the estimation, cardiac ventricle information indicating at least one of wall motion information and volume information related to the cardiac ventricle. The processing circuitry calculates, based on a result of the estimation, annulus information related to the size or shape of an annulus position of a valve related to inflow or outflow of blood current at the cardiac ventricle. The processing circuitry outputs the cardiac ventricle information and the annulus information.

Aspects of the technology described herein relate to techniques for guiding an operator to use an ultrasound device. Thereby, operators with little or no experience operating ultrasound devices may capture medically relevant ultrasound images and/or interpret the contents of the obtained ultrasound images. For example, some of the techniques disclosed herein may be used to identify a particular anatomical view of a subject to image with an ultrasound device, guide an operator of the ultrasound device to capture an ultrasound image of the subject that contains the particular anatomical view, and/or analyze the captured ultrasound image to identify medical information about the subject.

Embodiments include a system for determining patient cardiovascular information which includes at least one computer system configured to receive patient-specific data regarding a geometry of an anatomical structure of a patient; create a model representing at least a portion of the anatomical structure of the patient based on the patient-specific data; determine a first blood flow rate at at least one point of interest in the model by using relations of individual-specific anatomic data to functional estimates of blood flow characteristics generated from a plurality of individuals; modify the model; determine a second blood flow rate at a point in the modified model corresponding to the at least one point of interest by using the relations of individual-specific anatomic data to functional estimates of blood flow characteristics; and determine a fractional flow reserve value as a ratio of the second blood flow rate to the first blood flow rate.

The present invention relates to systems, methods and algorithms for determination of heart pump function and their use in livings subject are described.

The invention further relates to complementary parts of such systems that work best in combination.

Medical catheters, sheaths and shafts are disclosed that carry an arrangement of integrated digital sensor systems-on-chip (SoC) in the portion thereof residing inside the body. These devices combine at their portion that resides inside the body, the complete chain of signal transduction, signal analog-to-digital conversion and digital signal transmission, and allow to acquire single and multiple physical entities in a single setup. In specific instances the devices integrate wireless data transfer functionality, and in specific instances they integrate wireless energy harvesting for battery-free functionality.

The present invention further describes complementary monitor systems that are suited for reception, processing and analysis of data acquired by such catheters/sheaths/shafts to yield a robust assessment of cardiac performance.

Moreover, the present invention relates to innovations which render such systems applicable to patients with and without cardiac assist devices.

Systems and methods are described herein for predictive heart valve simulation. The systems and methods described herein can include segmenting anatomical region of a heart of a patient from image data characterizing the heart of the patient. Anatomical model data that can include three-dimensional shapes of the anatomical regions of the heart can be generated based on the image data. The anatomical model data can be used to generate anatomical model data. The analytical model data can include a three-dimensional mesh of the anatomical regions of the heart. A deformed analytical model that can be indicative of a deformed position of the anatomical regions of the heart and a deformed position of the surgical object can be generated based on the analytical model data.

An ultrasound imager provides for LAA closure guidance. Using ultrasound imaging allows for modeling over time (e.g., throughout a heart cycle). An anatomy model of the LAA over time is used to create a biomechanical model personalized to the patient. The personalized models and a model of one or more closure devices are used to select a closure device for the patient appropriate for the entire heart cycle and to guide placement of the selected closure device during an implantation.

The systems and methods can accurately and efficiently determine a myocardial risk from a lesion disposed along a coronary segment using hemodynamic characteristic(s) associated with one or more sections of the corresponding lesion site. The method may include segmenting one or more lesion sites disposed along at least one arterial segment of the one or more arterial segments of the coronary model into one or more sections. Each lesion site includes a lesion. The method may include determining one or more characteristics for at least one section using at least the one or more characteristics associated with the at least one arterial segment. The one or more characteristics for the at least one section including hemodynamic force characteristic(s) (e.g., wall shear stress (WSS)). The method may include determining one or more risk indices for each lesion site using at least the hemodynamic force characteristic(s) for the at least one section.