An object volume acquisition method of an ultrasonic image, for a probe of an ultrasonic system is disclosed. The volume acquisition method of the object in the ultrasonic image includes collecting, by the probe, a plurality of two-dimensional ultrasonic images; obtaining the plurality of two-dimensional ultrasonic images, an offset angle, a rotation axis and a frequency of the probe corresponding to the plurality of two-dimensional ultrasonic images; segmenting a first image including an ultrasonic image object from each two-dimensional ultrasonic image of the plurality of two-dimensional ultrasonic images based on a deep learning structure; determining a contour of the ultrasonic image object; reconstructing a three-dimensional model corresponding to the ultrasonic image object according to the contour of the ultrasonic image object corresponding to the each two-dimensional ultrasonic image; and calculating a volume of the ultrasonic image object according to the three-dimensional model corresponding to the ultrasonic image object.

The present embodiments relate generally to a system and method for generating images from ultrasound imaging data. The system can include a data acquisition processor, and administrator processor, a user device, and a server. The method can include transmitting images to a server, applying an implicit misfit function to generate a first set of images, then, based on this first set, apply an explicit misfit function to generate a second set of images of higher accuracy.

In one embodiment a system includes a ultrasound probe to capture 2D ultrasonic images of a body part of a living subject, a process to generate a 3D anatomical map of the body part, the 3D anatomical map and the 2D ultrasonic images being registered with a 3D coordinate space, add a 3D indication of an anatomical structure to the 3D anatomical map, render to a display the 3D anatomical map including the 3D indication of the anatomical structure, and render to the display a given one of the 2D ultrasonic images with a 2D indication of the anatomical structure on the given 2D ultrasonic image responsively to the 3D indication of the anatomical structure.

A system and related methods for performing nerve detection during surgical access using ultrasound testing during surgery.

Methods and apparatuses for performing automated detection of lung slide using a computing device (e.g., an ultrasound system, etc.) are disclosed. In some embodiments, the techniques determine lung sliding using one or more neural networks. In some embodiments, the neural networks are part of a process that determines probabilities of the lung sliding at one or more M-lines. In some embodiments, the techniques display one or more probabilities of lung sliding in a B-mode ultrasound image.

The present disclosure describes ultrasound systems and methods configured to determine the elasticity of a target tissue. Systems can include an ultrasound transducer configured to acquire echoes responsive to ultrasound pulses transmitted toward the tissue, which may include a region of increased stiffness. Systems can also include a beamformer configured to control the transducer to transmit a push pulse into the tissue, thereby generating a shear wave in the region of increased stiffness. The beamformer can be configured to control the transducer to emit tracking pulses adjacent to the push pulse. Systems can further include a processor configured to determine a displacement amplitude of the shear wave and based on the amplitude, generate a qualitative tissue elasticity map of the tissue. The processor can combine the qualitative map with a quantitative map of the same tissue, and based on the combination, determine a boundary of the region of increased stiffness.

Certain embodiments include an apparatus, system, or method for time-gain compensation control of an ultrasound system. A computer-implemented method can include providing a tactile gain control comprising a near, middle, and far gain control. The middle gain control can be configured for two-dimensional range adjustment of depth and gain. The computer-implemented method can also include adjust at least one of the near, middle, or far gain control. In addition, the computer-implemented method can include displaying an ultrasound image based on at least one of the adjusted near, middle, or far gain control.

An ultrasound device (10) includes a probe (12) including a tube (14) sized for insertion into a patient and an ultrasound transducer (18) disposed at a distal end (16) of the tube. A camera (20) is mounted at the distal end of the tube in a fixed spatial relationship to the ultrasound transducer. At least one electronic processor (28) is programmed to: control the ultrasound transducer and the camera to acquire ultrasound images (19) and camera images (21) respectively while the ultrasound transducer is disposed in vivo inside the patient; and construct a keyframe (36) representative of an in vivo position of the ultrasound transducer including at least ultrasound image features (38) extracted from at least one of the ultrasound images acquired at the in vivo position of the ultrasound transducer and camera image features (40) extracted from one of the camera images acquired at the in vivo position of the ultrasound transducer.

An intraoperative ultrasound imaging system and method capable of using ultrasound imaging to safely place a surgical access instrument (e.g. guide wire, dilator, cannula, etc.) through a tissue (e.g., muscle, fat, brain, liver, lung, etc.) without damaging nearby neurovascular structure is described herein. The intraoperative ultrasound system includes an ultrasound probe assembly configured for emitting and receiving ultrasound waves and a computer system including a processor and a display unit. Once the probe is in position, ultrasound imaging is performed wherein the computer receives RF data from the probe and causes a B-mode image of the visible anatomical structures (e.g. muscle, bone, etc.) to be displayed on the display unit.

An ultrasound diagnostic apparatus includes a drive circuit configured to transmit a drive signal to an ultrasound transducer, a receiving circuit configured to receive an echo signal from the ultrasound transducer, and a processor. The processor obtains, based on the echo signal or a user input, target information containing at least one of a distance from the ultrasound transducer to a target region containing liquid or a size of the target region, and sets, based on the target information, a drive condition under which an acoustic streaming generating ultrasound transmitted by the ultrasound transducer generates acoustic streaming in the liquid in the target region.