A method may include intravenously directing first bubbles into a patient's venous circulatory system and to a right side of the patient's heart. The first bubbles may have sizes that fall within a first range. The method may further include monitoring the patient's heart, with ultrasound imaging, to detect presence of the first bubbles on a left side of the patient's heart. Upon detecting the first bubbles on the left side of the patient's heart, the method may further include intravenously directing second bubbles into the patient's venous circulatory system and to the right side of the patient's heart. The second bubbles may have sizes that fall within a second range that is different than the first range. Upon detecting the second bubbles on the left side of the patient's heart, the method may further include initiating treatment to minimize risk of stroke in the patient.

A patient monitoring device includes at least one physiological sensor (32) configured to acquire at least one measured value for a patient of at least one monitored physiological variable. A cardiovascular (CV), pulmonary, or cardiopulmonary (CP) modeling component (42) includes a microprocessor pro-programmed to: receive the measured values of the at least one monitored physiological variable; receive a value for at least one patient-specific medical image parameter generated from at least one medical image of the patient; compute values for the patient of unmonitored physiological variables based on the measured values for the patient of the monitored physiological variables and the patient-specific medical image parameter; and at least one of (1) display the computed values and (2) control a therapy device delivering therapy to the patient based on the computed values.

Apparatus and methods are provided for treating patients exhibiting symptoms of hypertension, isolated systolic hypertension, heart failure with preserved ejection fraction, May-Thuner Syndrome or dyspnea by diagnosing and reducing narrowing of a patient's iliac vein caused by extrinsic localized compression using a stent having circumferential differential radial stiffness and delivery catheter for aligning and deploying such stents.

The present invention is directed to systems and methods for identifying a cardiovascular disease of a patient. In one embodiment, the method includes obtaining measurements for a diastolic pressure, a systolic pressure, a heartbeat period, a stroke volume, and an ejection period for the patient, and then determining an aortic compliance for the patient based on these measurements. The diastolic pressure, systolic pressure, and heartbeat period are each measured directly from the patient, and the stroke volume and ejection period are each measured from echocardiogram data. In another embodiment, the method includes obtaining measurements for a diastolic pressure and a systolic pressure for the patient, obtaining an estimate of a stroke volume for the patient, and then determining an aortic compliance for the patient based on the diastolic pressure, the systolic pressure, and the stroke volume. These methods may be implemented using a computing device that optionally accesses an electronic medical record to retrieve the relevant parameters.

Introduced here approaches to developing, training, and implementing algorithms to cardiac dysfunction through automated analysis of physiological data. As an example, a model may be developed and then trained to quantify left and right ventricular dysfunction using electrocardiogram waveform data that is associated with a population of individuals who are diverse in terms of age, gender, ethnicity, socioeconomic status, and the like. This approach to training allows the model to predict the presence of left and right ventricular dysfunction in a diverse population. Also introduced here is a regression framework for predicting numeric values of left ventricular ejection fraction.

Systems and methods are disclosed for to determining a blood supply and blood demand. One method includes receiving a patient-specific model of vessel geometry of at least a portion of a coronary artery, wherein the model is based on patient-specific image data of at least a portion of a patient's heart having myocardium; determining a coronary blood supply based on the patient-specific model; determining at least a portion of the myocardium corresponding to the coronary artery; determining a myocardial blood demand based on either a mass or a volume of the portion of the myocardium, or based on perfusion imaging of the portion of the myocardium; and determining a relationship between the coronary blood supply and the myocardial blood demand.

An ultrasound imaging system computes real time physiological parameters from measurements of anatomical features in ultrasound image data using a neural network to identify the location of the anatomical features. In one embodiment, cardiac parameters are computed from endocardial wall tracings in M-mode ultrasound image data that are identified by the neural network.

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 invention relates to a system for challenging the pericardial space, to provide an indication of the risk of cardiac tamponade in a patient, as well as methods for diagnosis of, and determination of the extent of, a tamponade, and treating a patient in whom there is a detected cardiac tamponade.

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.