Intravascular ultrasound (IVUS) imaging devices, systems, and method are provided. In one embodiment, an IVUS imaging device includes a flexible elongate member configured to be positioned within a lumen of a patient, the flexible elongate member comprising a proximal portion and a distal portion; and an imaging assembly disposed at the distal portion of the flexible elongate member. The imaging assembly includes a first ultrasound transducer operating at a first center frequency; and a second ultrasound transducer operating at a second center frequency different from the first center frequency.

An ultrasonic diagnostic imaging system is used to acquire a fetal image in a sagittal view for the performance of a nuchal translucency measurement. After a fetal image has been acquired, a zoom box is positioned over the image, encompassing a region of interest. The size of the zoom box is automatically set for the user in correspondence with gestational age or crown rump length. The system automatically tracks the region of interest within the zoom box in the presence of fetal motion in an effort to maintain the region of interest within the zoom box despite movement by the fetus.

A system and method for tracking completeness of co-registered medical image data is disclosed herein. The system and method tracks the position of an anatomical reference marker positionable on a patient and an ultrasound probe during an imaging session and co-registers medical images based on positional data received from the anatomical reference marker and the ultrasound probe. Using the co-registered image data, the system and method generates a surface contour of a region of interest (ROI) of the patient, such as a breast. The surface contour is defined to represent an interface between a chest wall structure and tissue of the ROI in a plurality of co-registered medical images. A completeness map of the image data within the defined surface contour during the imaging session is generated and overlaid on a graphic representation of the ROI.

An apparatus includes a processing device in operative communication with an ultrasound device. The processing device is configured to: receive a user selection of a lung imaging preset option and a user-selected imaging depth for the ultrasound device; define a threshold imaging depth based on a shallow lung imaging mode and a deep lung imaging mode (the threshold imaging depth is between approximately 4 cm and 8 cm); after receiving the user selection of the user-selected imaging depth, compare the user-selected imaging depth with the threshold imaging depth; and automatically configure the ultrasound device to switch between the shallow lung imaging mode and deep lung imaging mode, depending upon a result of the comparison of the user-selected imaging depth with the threshold imaging depth.

A workflow is disclosed to accurately register ultrasound imaging to co-modality imaging. The ultrasound imaging is segmented with a convolutional neural network to detect a surface of the object. The ultrasound imaging is calibrated to reflect a variation in propagation speed of the ultrasound waves through the object by minimizing a cost function that sums the differences between the first and second steered frames, and compares the first and second steered frames of the ultrasound imaging with a third frame of the ultrasound imaging that is angled between the first and second steered frames. The ultrasound imaging is temporarily calibrated with respect to a tracking coordinate system by creating a point cloud of the surface and calculating a set of projection values of the point cloud to a vector. The ultrasound imaging, segmented and calibrated, is automatically registered to the co-modality imagine.

A system and method of providing composite real-time dynamic imagery of a medical procedure site from multiple modalities which continuously and immediately depicts the current state and condition of the medical procedure site synchronously with respect to each modality and without undue latency is disclosed. The composite real-time dynamic imagery may be provided by spatially registering multiple real-time dynamic video streams from the multiple modalities to each other. Spatially registering the multiple real-time dynamic video streams to each other may provide a continuous and immediate depiction of the medical procedure site with an unobstructed and detailed view of a region of interest at the medical procedure site at multiple depths. A user may thereby view a single, accurate, and current composite real-time dynamic imagery of a region of interest at the medical procedure site as the user performs a medical procedure.

A non-transitory computer-readable medium (CRM) storing computer program code executed by a computer processor that executes a process, an information processing apparatus, and model generation method that generates an image of a lumen organ. The process includes acquiring a first image obtained by imaging a lumen organ of a patient based on an ultrasound signal of a first frequency; and generating a second image by inputting the acquired first image into a model, the model being learned to generate, when the first image is input, the second image in which the lumen organ is imaged based on an ultrasound signal of a second frequency. Preferably, the second image, in which a part of an image region of the first image is converted into the second frequency, is generated using the model, and a synthesis image is generated in which the second image is superimposed to the first image.

A system and method is provided for obtaining ultrasound images of an interior of an object that includes an image processing unit that receives and processes acquired ultrasound scan data to create ultrasound images derived from ultrasound image data, a motion detection system configured to detect a pattern of inactivity time frames within movement cycles of the object and an ultrasound imaging probe operably connected to the image processing unit to acquire the ultrasound scan data for use by the image processing unit to form the ultrasound images. The motion detection system detects a pattern of one or more inactivity time frames within a first cycle of movement of the object, obtains ultrasound volumetric scan data of the object during the inactivity time frame within a second cycle of movement of the object, and calibrates a location of a scan plane of the ultrasound image within the volumetric ultrasound image.

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.

The present disclosure includes a method of diagnosing a condition of bodily tissue using a computer, the method comprising comparing, using a computer, a 3D tissue model derived from an ultrasound scan of the bodily tissue with at least one 3D tissue model having common tissue with the bodily tissue, and diagnosing a condition of the bodily tissue responsive to comparing the 3D tissue models.