A device and system for and methods of using an ultrasound probe housing containing ultrasound probes configured to produce images inside the body of a patient for procedures requiring needle or probe insertion. The ultrasound probe housing can be configured with a guide channel cut-out or aperture between the ambient side and body side of a patient. A needle guide assembly may be pivotally connect internal to the guide channel cut-out or aperture of the ultrasound probe housing at a pivot point such that during use the needle enters the patient through the needle guide assembly within the ultrasonic probe housing so that the needle can be visualized by the ultrasonic probes in real time. The ultrasound probe housing may also provide an adhesion or suction quality to the body side of the device to facilitate aspects of the invention.

An ultrasonic imaging system produces more diagnostic cardiac images of the left ventricle by plotting the longitudinal medial axis of the chamber between the apex and mitral valve plane as a curved line evenly spaced between the opposite walls of the myocardium. Transverse image planes are positioned orthogonal to the curved medial axis with control points positioned in the short axis view on lines evenly spaced around and emanating from the medial axis. If the short axis view is of an oval shaped chamber the transverse image is stretched to give the heart a more rounded appearance resulting in better positioning of editing control points.

Systems and methods for increasing effective line density of volume compound ultrasound images while maintaining the frame rate, penetration depth, and other image characteristics are provided. The method includes acquiring a first lateral plane at a first elevational position. The first lateral plane includes a first set of receive lines at a first set of lateral positions. The method includes acquiring a second lateral plane at a second elevational position adjacent the first elevational position. The second lateral plane includes a second set of receive lines at a second set of lateral positions laterally offset from the first set of lateral positions. The method includes combining the first lateral plane and the second lateral plane to generate a compound image and presenting the compound image at a display system. The compound image may be a volume compound image in an A-plane generated based on volume compound imaging rendering algorithms.

Systems and methods for generating adaptive contrast accumulation imaging images are disclosed. A point spread function thinning/skeletonization technique may be performed on contrast enhanced image frames. An aggressiveness parameter of the technique may be adapted temporally and/or spatially. The aggressiveness parameter may be adapted based on various factors, including, but not limited to, time since injection of the contrast agent, signal intensity, and/or vessel size. The images may be temporally accumulated to generate a final sequence of adaptive contrast accumulation imaging images.

An ultrasonic diagnosis apparatus according to an embodiment includes a transmission unit, a reception unit, a generator, and a display controller. The transmission unit causes an ultrasonic probe to transmit a displacement-producing ultrasonic wave and causes the probe to transmit a displacement-observing ultrasonic wave. The reception unit generates reflected-wave data based on a reflected wave received by the probe. The generator calculates displacement at each of a plurality of positions in the scan area over a plurality of time phases, based on the reflected-wave data, determines a time phase when the calculated displacement is substantially maximum, for each of the positions, and generates image data representing positions where the determined time phases are substantially the same as each other, among the positions. The display controller superimposes an image based on the image data on a medical image corresponding to an area including the scan area.

A method of determining a three-dimensional motion of a movable ultrasound probe (10) is described. The method is carried out during acquisition of an ultrasound image of a volume portion (2) by the ultrasound probe. The method comprises receiving a stream of ultrasound image data (20) from the ultrasound probe (10) while the ultrasound probe is moved along the volume portion (2); inputting at least a sub-set of the ultrasound image data (20, 40) representing a plurality of ultrasound image frames (22) into a machine-learning module (50), wherein the machine learning module (50) has been trained to determine the relative three-dimensional motion between ultrasound image frames (22); and determining, by the machine-learning module (50), a three-dimensional motion indicator (60) indicating the relative three-dimensional motion between the ultrasound image frames.

An ultrasound diagnostic apparatus includes a hardware processor that generates a first B mode image and a second B mode image on the basis of a first reception signal and a second reception signal whose beam width in the slice direction is narrower than the first reception signal, displays a display image on a display section, determines whether the end of the puncture needle in the display image is the actual needle point, and presents the determination result. The hardware processor presents the determination result on the basis of the first puncture needle image included in the first B mode image and the second puncture needle image included in the second B mode image.

The disclosure provides for a method for generating an ultrasound image that includes transmitting, by a plurality of transmitters in a transducer, at least two transmit beams at different angles, where at least parts of the transmit beams cover an overlapping region, and receiving, by a plurality of sensors of the transducer, reflected signals of the transmit beams. The method further comprises calculating channel coherence for the received signals to produce one or more channel coherence images, and calculating transmit coherence for the received signals to produce one or more transmit coherence images. The information from at least one of the channel coherence images and at least one of the transmit coherence images are combined to identify moving objects. The received signals from different transmits in overlapping regions are then processed to produce a final image that is compensated for the moving objects.

An image generation device includes: an image acquirer that acquires a plurality of ultrasound images generated on the basis of a plurality of reception signals respectively corresponding to reflected ultrasound waves of transmission ultrasound waves transmitted in a plurality of different transmission directions; an identification result acquirer that acquires an identification result output from a discriminator by inputting the plurality of ultrasound images that has been acquired to the discriminator, the discriminator identifying an object to be identified included in the input ultrasound images; and an image combiner that generates a composite image on the basis of the plurality of ultrasound images and the identification result.

The purpose is to provide an ultrasound imaging device capable of automatically detecting a boundary of a biological tissue in an ultrasound image. An ultrasound imaging device includes an image generation module which receives ultrasound waves transmitted from a surface of an analyte toward an inside of the analyte and reflected therein to generate an ultrasound image inside the analyte, a reference point setting module which sets a reference point of a tissue of interest of the ultrasound image, a first seed point imparting module which imparts one or more seed points to the ultrasound image with reference point, and a region demarcating module which demarcates a region to which the seed point belongs and divides an image region of the analyte included in the ultrasound image into a plurality of regions according to a type of tissue.