An ultrasonic diagnostic imaging system has a user control by which a user positions the user's selection of a heart chamber border in relation to two myocardial boundaries identified by a deformable heart model. The user's border is positioned by a single degree of freedom control which positions the border as a function of a single user-determined value. This overcomes the vagaries of machine-drawn borders and their mixed acceptance by clinicians, who can now create repeatably-drawn borders and exchange the control value for use by others to obtain the same results.

Implementations described and claimed herein provide systems and methods for managing one or more patients. In one implementation, an imaging window is determined based on a location of a probe. A primary image cross-section for the imaging window is identified for the imaging window. At least one image is generated along the primary image cross-section using patient data captured using the probe. The at least one image is compared to an expected image contour scaffold of the primary image cross-section. The probe is commanded to fine-tune an imaging plane based on the comparison until the at least one image matches the expected image contour scaffold of the primary image cross-section.

For robust view classification and measurement estimation in sequential ultrasound imaging, the classification and/or measurements for a given image or sequence of images are gated. To prevent oscillation in results, the gating provides consistent output.

Periodic displacement occurs in body tissue due to heartbeat. A peak level D of the movement distance of the body tissue is detected (Step 21), and a heartbeat cycle T is calculated from a frequency spectrum (Steps 22 and 23). By dividing twice the peak level D by the heartbeat cycle T, the moving velocity of the body tissue in a unit heartbeat cycle is calculated (Step 24). By dividing the moving velocity by a frame rate r, an average movement distance of the body tissue between frames is calculated (Step 25). In a case where the average movement distance is smaller than a predetermined threshold value, a time interval between the frames used for the calculation of the movement distance is extended (being Step 26 NO, Step 27).

A method of processing cardiac ultrasound data for determining information about a mechanical wave in the heart. The method comprises receiving data representative of a time series of three-dimensional data frames, generated from ultrasound signals from a human or animal heart, each frame comprising a set of voxels, each voxel value representing an acceleration component of a respective location in the heart at a common time. The method also comprises identifying, for each voxel, a frame of the series in which the voxel value is at a maximum. A three-dimensional time-propagation data set is generated by assigning each voxel a value representative of the time of the respective frame in the time series for which the corresponding voxel is at a maximum. The method then comprises generating data representative of a three-dimensional velocity vector field by calculating time derivatives from the three-dimensional time-propagation data set.

Aspects of the technology described herein relate to configuring an ultrasound system with imaging parameter values. In particular, certain aspects relate to configuring an ultrasound system to produce a plurality of sets of ultrasound images, each respective set of the plurality of sets of ultrasound images being produced with a different respective set of a plurality of sets of imaging parameter values; obtaining, from the ultrasound system, the plurality of sets of ultrasound images; determining a set of ultrasound images from among the plurality of sets of ultrasound images that has a highest quality; and based on determining the set of ultrasound images from among the plurality of sets of ultrasound images that has the highest quality, automatically configuring the ultrasound system to produce ultrasound images using a set of imaging parameter values with which the set of ultrasound images that has the highest quality was produced.

Ultrasound image devices, systems, and methods are provided. In one embodiment, an intraluminal ultrasound imaging system includes a patient interface module (PIM) in communication with an intraluminal imaging device comprising an ultrasound imaging component, the PIM comprising a processing component configured to detect information associated with the intraluminal imaging device; and determine a waveform characteristic for ultrasound wave emissions at the ultrasound imaging component based on the detected information; and a trigger signal generation component in communication with the processing component and configured to generate a trigger signal based on the determined waveform characteristic to control the ultrasound wave emissions at the ultrasound imaging component.

The present disclosure provides a system for patient monitoring. The system may cause a medical device to perform a treatment or a scan on a patient who remains in a breath-hold status. During the treatment or the scan of the patient, the system may acquire one or more parameter values relating to one or more status parameters that reflect the breath-hold status of the patient using a monitoring device. The system may also predict a breaking point of the breath-hold status based on the one or more parameter value. The system may further adjust the treatment or the scan based on the breaking point of the breath-hold status.

A method includes obtaining, by a processor, a set of ultrasound frames showing a portion of a heart of a subject, identifying a subset of the frames, responsively to the subset having been acquired at one or more predefined phases of at least one physiological cycle of the subject, computing respective image-quality scores for at least the subset of the frames, each of the scores quantifying an image quality with which one or more anatomical portions of interest are shown in a respective one of the frames, and, based on the image-quality scores, selecting, for subsequent use, at least one frame from the subset of the frames. Other embodiments are also described.

A 3D ultrasonic diagnostic imaging system produces 3D display images at a 3D frame rate of display which is equal to the acquisition rate of a 3D image dataset. The volumetric region being imaged is sparsely sub-sampled by separated scanning beams. Spatial locations between the beams are filled in with interpolated values or interleaved with acquired data values from other 3D scanning intervals depending upon the existence of motion in the image field. A plurality of different beam scanning patterns are used, different ones of which have different spatial locations where beams are located and beams are omitted. In a preferred embodiment the determination of motion and the consequent decision to use interpolated or interleaved data for display is determined on a pixel-by-pixel basis.