Apparatus and methods are described including an endoluminal device configured to move along a portion of a lumen of a subject's body, an extraluminal imaging device, and at least one computer processor. While the endoluminal device moves along the portion of the lumen, a display displays an extraluminal image of the lumen in which a first indication of a location of the lumen is shown. The extraluminal imaging device acquires a sequence of extraluminal images of the endoluminal device moving along the portion of the lumen. The indication of the location of the lumen that is displayed is updated based upon the acquired sequence of extraluminal images, and the acquired sequence of images is displayed with the updated indication of the location of the lumen overlaid upon the images. Other applications are also described.

An apparatus according to an embodiment includes a processing circuit. The processing circuit is configured to obtain first Doppler waveform data related to a left ventricular blood inflow. The processing circuit is configured to detect positions of an E-wave and an A-wave in the first Doppler waveform data, by using the first Doppler waveform data and a trained model trained with training data that includes at least positions of an E-wave and an A-wave in each of a plurality of pieces of second Doppler waveform data related to left ventricular blood inflows and the plurality of pieces of second Doppler waveform data.

An ultrasound diagnostic apparatus according to one embodiment includes processing circuitry. The processing circuitry acquires local function index values related to a right ventricle. The processing circuitry generates a functional image of the right ventricle representing a distribution of the local function index values, using a medical model diagram of the right ventricle, the medical model diagram being a model diagram in which the right ventricle is developed onto a plane, and in which a blood inlet portion leading into the right ventricle and a blood outflow portion leading out from the right ventricle are plotted to positions that are separated from each other on the external circumference side of the model diagram. The processing circuitry then causes a display to display the functional image of the right ventricle.

A method for generating an ultrasound image includes receiving a sequence of intravascular ultrasound (IVUS) data obtained as an IVUS imager moves through a body lumen; identifying at least one bifurcation of the body lumen from the sequence of IVUS data; determining a bifurcation angle between two branches of the body lumen; and displaying a longitudinal view of the body lumen using the IVUS data and incorporating the bifurcation angle to angularly align portions of the longitudinal view corresponding to the two portions of the body lumen.

Methods for correlating intraluminal data with x-ray image data involve providing x-ray image data of a tubular organ, providing intraluminal data of the tubular organ, synchronizing the x-ray image data with the intraluminal data based on a cardiac cycle extracted from an available input signal and/or the x-ray image data and/or the intraluminal data to match x-ray image data with intraluminal data in a specific cardiac phase, and co-registering x-ray image data with intraluminal data by creating a cumulative image at the specific cardiac phase which reconstructs the path followed by an intraluminal wire used for acquiring the intraluminal data to link the intraluminal data to spatial locations of the path followed by the wire within the x-ray image. A corresponding system and computer program are also disclosed. The method and systems can be controlled by one or more computer systems configured with specific executable instructions.

Systems, methods and devices for providing combined ultrasound, electrocardiography, and auscultation data are provided. One such system includes an ultrasound sensor, an electrocardiogram (EKG) sensor, an auscultation sensor, and a computing device. The computing device includes memory and a processor, and the processor receives signals from the ultrasound sensor, the EKG sensor, and the auscultation sensor. Artificial intelligence techniques may be employed for automatically analyzing the data obtained from the ultrasound sensor, the EKG sensor, and the auscultation sensor and producing a clinically-relevant determination based on a combined analysis of the data.

An elasticity imaging method, device, and storage medium are provided. The method includes: transmitting an ultrasound wave to a target tissue; receiving an ultrasound echo of the ultrasound wave returned from the target tissue; obtaining an interference characteristic information representing the degree of interference to the target tissue; and when the interference characteristic information does not meet a preset condition, stopping determining an elasticity image of the target tissue according to the ultrasound echo.

The invention relates to an ultrasound data visualization apparatus for visualizing ultrasound data showing an object during an interventional procedure. A reference image (65) and a current image (68) of the object are simultaneously displayed, wherein the current image corresponds to a current time interval and the reference image corresponds to a reference time interval and wherein the current time interval and the reference time interval correspond to different phases of the interventional procedure. The current image can be shown therefore with, for instance, a relatively high temporal resolution for allowing a user to observe detailed object changes, which may be caused by the interventional procedure, while an overview over different phases of the interventional procedure can still be provided, because also the reference image is displayed and can be used by a user for comparing the current image with the reference image.

Cardiac monitoring is implemented by transmitting ultrasound energy into a lung of the subject, receiving ultrasound reflections, detecting Doppler shifts in the received reflections, and processing the Doppler shifts into power and velocity data. A plurality of cardiac cycles are identified within the power and velocity data, and a plurality of features corresponding to each of the plurality of cardiac cycles are identified. The identified features are characterized into a set of parameters, and the set of parameters is transmitted to a remote location. The set of parameters is analyzed at the remote location to determine if an abnormality exists. If an abnormality exists, an indication is output from the remote location.

The pumping of arterial blood into the cerebral spinal fluid (CSF) of a patient's brain creates cycle pressure undulations in the CSF and the brain itself. Brain injuries can create abnormal changes in this pressure waveform. Accordingly, the disclosed technology includes an ultrasound based device for monitoring this brain movement in the CSF (“pulsatility”) to diagnose and monitor brain injury.