Disclosed herein is a method for operating an ultrasonic diagnostic apparatus, including: obtaining a first ultrasonic image of an object, based on an ultrasonic signal reflected from the object and received by a probe; obtaining a first scan mark to which information of a first position relation between the object and the probe when the first ultrasonic image is obtained is reflected, based on a result of recognition of the first ultrasonic image, wherein the first scan mark is a mark in which a probe mark is positioned on a first body mark of the object, based on the information of the first position relation; and displaying the first scan mark.

An implant comprises a wall that surrounds a lumen. A delivery tool comprises a catheter, a control assembly, and an ultrasound tool. The catheter is transluminally advanceable into a subject, and has a distal opening. The implant can be delivered via the catheter. The control assembly can advance at least a portion of the wall out of the distal opening, and can steer the catheter to place the portion against a site of a tissue of the subject, the site disposed distally from the portion and opposite the distal opening. The ultrasound tool can (i) position an ultrasound transceiver within the lumen and facing the portion, and (ii) facilitate imaging of the site by transmitting ultrasound energy through the portion. An anchor driver can anchor the implant to the tissue by driving an anchor through the portion and into the site. Other embodiments are also described.

A method for generating F-mode display of an ultrasound image includes: collecting ultrasound image data that include a plurality of physical properties; mapping the physical properties to a plurality of color components of a color space; and combining the color components to generate an F-mode display of the ultrasound image. Each of the physical properties corresponds a corresponding color component.

Systems and methods for deep tissue visualization using ultrasound and stereo imaging are provided. Various aspects of the present disclosure provide intraoperative identification of sub-tissue surface critical structures (e.g., identification of ureters, nerves, and/or vessels). For example, various surgical visualization systems disclosed herein can enable the visualization of one or more portions of critical structures below the surface of the tissue in an anatomical field in real-time. Such surgical visualization systems can augment the clinician's endoscopic view of an anatomical field with a virtual, real-time depiction of the critical structure as a visible image overlay on the surface of visible tissue in the field of view of the clinician.

A hierarchical workflow is configured to associate examination information captured using an imaging platform with contextual metadata. The examination information may include ultrasound image data, which may be associated with annotations, measurements, pathology, body markers, and/or the like. The hierarchical workflow may comprise templates associated with respective anatomical regions, locations, volumes, and/or surfaces. A template may define configuration data to automatically adapt the imaging platform to capture imaging data in the corresponding anatomical region. The template may further include guidance information for the operator, including processing steps for capturing relevant examination information. Additional examination information may be captured and included in the hierarchical workflow.

A system for reviewing results of ultrasound examinations provides enhanced control over reviewed images. A review and imaging system receives additional data comprising one or more of additional ultrasound images generated using parameter settings different from those selected by and sonographer and earlier stage ultrasound data. An ultrasound machine may be configured to acquire and make the additional data available to the review and imaging system. The review and imaging system may provide a wide range of control options for obtaining optimized display of images based on the additional data.

Provided are a wireless ultrasound probe and an ultrasound imaging apparatus connected with the wireless ultrasound probe. The wireless ultrasound probe includes: a battery; and a charging terminal connector that is coupled to a power supply terminal of the ultrasound imaging apparatus and receives power from the power supply terminal to charge the battery, wherein the charging terminal connector has a unique shape configured to be physically coupled to the power supply terminal.

An ultrasound imaging system includes a thermally conductive frame and a number of electronic components and a display that are sealed within the frame. The frame further includes a plenum extending through the frame with surfaces that are thermally coupled to the electronic components and the display. An active cooling mechanism, such as one or more fans, moves air through the plenum to remove heat generated by the electronic components and display. The plenum is environmentally sealed so that moisture, dust, air or other contaminants drawn into the plenum do not contact the sealed electronic components and display in the frame.

Provided is a technique capable of preventing a deterioration of a frame rate or a temporal resolution and estimating a blood flow velocity in a wide velocity range. A method is based on an unequal interval transmission method, and calculates a blood flow velocity by using a temporally adjacent received signal set and a temporally discontinuous received signal set, among a plurality of received signals obtained via a plurality of times of transmission in one transmission direction. When a number of the adjacent received signal set and a number of the temporally discontinuous received signal set are the same, an expansion of the velocity range similar to an unequal interval transmission in related art can be realized and the frame rate can be improved.

A multi-label heat map generating system is operable to receive a plurality of medical scans and a corresponding plurality of medical labels that each correspond to one of a set of abnormality classes. A computer vision model is generated by training on the medical scans and the medical labels. Probability matrix data, which includes a set of image patch probability values that each indicate a probability that a corresponding one of the set of abnormality classes is present in each of a set of image patches, is generated by performing an inference function that utilizes the computer vision model on a new medical scan. Preliminary heat map visualization data can be generated for transmission to a client device based on the probability matrix data. Heat map visualization data can be generated via a post-processing of the preliminary heat map visualization data to mitigate heat map artifacts.