A system and a method of non-invasive continuous echocardiographic monitoring is provided with an ultrasound transducer and a bedside monitor. The beside monitor includes a monitor central processing unit (CPU). First, the ultrasound transducer is attached onto a specific skin portion of a patient. The specific skin portion is positioned adjacent to a patient's heart. Next, continuous echocardiographic data is sensed with the ultrasound transducer. After relaying the continuous echocardiographic data from the ultrasound transducer to the monitor CPU, the monitor CPU generates a real-time ultrasound image of the heart from the continuous echocardiographic data. Finally, the real-time ultrasound image is outputted with the bedside monitor. If the bedside monitor has a main screen, then the real-time ultrasound image is displayed through a picture-in-picture format with the main screen. Otherwise, if the beside monitor has an ancillary screen, then the real-time ultrasound image is exclusively displayed with the ancillary screen.

An ultrasound imaging system includes at least one transducer element. The ultrasound imaging system further includes a console with a transducer controller that controls the at least one element, a transducer processor that processes information detected by the at least one element, and a display controller that controls display of the processed information. The ultrasound imaging system further includes a display monitor with a first image display region. The ultrasound imaging system further includes a touch screen keyboard with a second image display region, wherein the display monitor and the touch screen keyboard are separate devices.

An intraluminal sensing system is provided, which includes an intraluminal device. The intraluminal device includes a flexible elongate member that can be positioned within a body lumen of a patient, and an ultrasound sensor at a distal portion of the flexible elongate member and configured to emit an ultrasound pulse in a longitudinal direction and to receive ultrasound echoes from the pulse. The system also includes a processor circuit in communication with the ultrasound sensor. The processor circuit is configured to compute a velocity spectrum of particles moving within the body lumen based on the received ultrasound echoes and, based on the velocity spectrum, compute a skew index indicative of a position or alignment of the ultrasound sensor within the body lumen. The processor circuit is also configured to output an indication of the skew index.

An intraluminal sensing system is provided that includes an intraluminal device. The intraluminal device has a flexible elongate member configured to be positioned within a body lumen of a patient, and an ultrasound sensor at a distal portion of the flexible elongate member. The ultrasound sensor is configured to emit an ultrasound pulse in a longitudinal within the body lumen, and to receive Doppler-shifted echoes from the ultrasound pulse. A processor circuit in communication with the ultrasound sensor is configured to: compute a velocity spectrum of particles moving within the body lumen based on the Doppler-shifted echoes; identify features in the velocity spectrum indicative of a lateral position or angular alignment of the ultrasound sensor within the body lumen; and output, to a display in communication with the processor circuit, positioning guidance for the intraluminal device based on the identified features in the velocity spectrum.

The present disclosure describes an ultrasound imaging system configured to identify a scan line pattern for imaging an object or feature thereof. The system may include a controller that controls a probe for imaging a volume of a subject by transmitting and receiving ultrasound signals in accordance with a plurality of scan line patterns. One or more processors communicating with the probe may generate a plurality of image data sets based on the signals received at the probe, each data set corresponding to a discrete scan line pattern. These data sets are assessed for a target characteristic specific to the object targeted for imaging. One the data set that includes the target characteristic is identified, the one or more processors select the scan line pattern that corresponds the identified image data set. This scan line pattern may then be used for subsequent imaging of the volume to view the object.

Provided are an ultrasound imaging apparatus and an operation method for registering an ultrasound image and an image from another modality. The ultrasound imaging apparatus may register the ultrasound image and the image from the other modality based on a three-dimensional positional relationship between at least one external electromagnetic sensor attached to a patient's body and an ultrasound probe and on a position of a feature point extracted from the image from the other modality.

Systems and methods for augmenting image data during heart valve repair procedures, such as transcatheter mitral valve repair (TMVr) or transcatheter tricuspid valve repair (TTVr). Image data may be obtained from an imaging device, and may be output to a display with one or more reference markers overlaid on the image data to simplify the visual data. Image data may be augmented or replaced with the reference markers. In some cases, reference markers may provide information about objects that are difficult to see in the image data. In other cases, the reference markers may provide clinical recommendations or feedback.

A method includes receiving a selection of an examination template including a hierarchical examination workflow and baseline configuration parameters corresponding to the examination template, wherein the examination template is associated with an anatomical area; automatically configuring an imaging system with the baseline configuration parameters from the examination template; capturing image data of a patient using the imaging system according to the hierarchical examination workflow; storing the image data on a storage system, such that the image data is associated with the anatomical area; displaying an anatomical model of a plurality of anatomical areas of the patient; and displaying thumbnails of the image data on respective areas of the anatomical model corresponding to anatomical areas of the patient where the image data was captured by the imaging system.

A system may transform sensor data from a sensor domain to an image domain using data-driven manifold learning techniques which may, for example, be implemented using neural networks. The sensor data may be generated by an image sensor, which may be part of an imaging system. Fully connected layers of a neural network in the system may be applied to the sensor data to apply an activation function to the sensor data. The activation function may be a hyperbolic tangent activation function. Convolutional layers may then be applied that convolve the output of the fully connected layers for high level feature extraction. An output layer may be applied to the output of the convolutional layers to deconvolve the output and produce image data in the image domain.

A hand-held ultrasound system includes integrated electronics within an ergonomic housing. The electronics includes control circuitry, beamforming and circuitry transducer drive circuitry. The electronics communicate with a host computer using an industry standard high speed serial bus. The ultrasonic imaging system is operable on a standard, commercially available, user computing device without specific hardware modifications, and is adapted to interface with an external application without modification to the ultrasonic imaging system to allow a user to gather ultrasonic data on a standard user computing device such as a PC, and employ the data so gathered via an independent external application without requiring a custom system, expensive hardware modifications, or system rebuilds. An integrated interface program allows such ultrasonic data to be invoked by a variety of such external applications having access to the integrated interface program via a standard, predetermined platform such as visual basic or c++.