Circuitless heart cycle determination includes capturing a video clip of one or more image frames of a target heart muscle through an ultrasound imaging device and submitting the frames to a classifier that has been trained with an annotated set of images, each of a corresponding heart muscle captured at a specified phase of a heart cycle with a ground truth indication of the specified phase of the heart cycle drawn from a separately recorded cycle graph of an electrical signal measured over time for the corresponding heart muscle. In response to the submission, a classification is received of different portions of the submitted frames according to corresponding phases of the heart cycle. Finally, a contemporaneous phase of the heart cycle is determined in the device for the target heart muscle without sensing electrical signals by way of a closed-loop sensor circuit affixed proximately to the target heart muscle.

In an embodiment, a system receives data from a first electromagnetic sensor coupled to a head-mounted display (HMD) and detecting an electromagnetic field generated by an electromagnetic reference source coupled to an ultrasound probe. The system receives data from a second electromagnetic sensor coupled to a medical instrument and detecting the electromagnetic field. The system determines a position of the HMD relative to the ultrasound probe. The system determines a position of the medical instrument relative to the ultrasound probe. The system generates a visualization of a path of the medical instrument oriented relative to an ultrasound image plane. The system provides a graphic for display by the HMD to a user wearing the HMD, where the graphic includes the visualization and image data captured by the ultrasound probe displayed on the ultrasound image plane.

According to one embodiment, a medical image processing apparatus includes processing circuitry. The processing circuitry estimates a contour of a desired structure based on a medical image, receives a desired correction mode among multiple correction modes for correcting the estimated contour, and corrects the estimated contour according to the desired correction mode.

Various embodiments of the present invention disclose A method and an apparatus for an ultrasound diagnosis based on an electronic device. According to various embodiments of the present invention, the electronic device includes: a display; a camera; a first communication circuit for probe connection; a second communication circuit for communication with at least one external device; and a processor electrically connected with the display, the camera, the first communication circuit, and the second communication circuit, wherein the processor can be configured to detect an ultrasonic diagnosis mode, execute the ultrasonic diagnosis mode and establish communication with the external device in response to the detection of the ultrasonic diagnosis mode, acquire data in the ultrasonic diagnosis mode, display the data on the display and transmit the data streaming to the external device using the second communication circuit, and provide an control guide for the probe in response to reception of control information from the external device. Various embodiments are possible.

Aspects of the present disclosure describe medical device placement, including devices, systems and methods for placing catheters, such as epidural catheters, or other medical devices, such as needles, using a guide on a sterile ultrasound sheath.

Methods and apparatuses for providing indications of missing landmarks in ultrasound images are described. Some embodiments are directed to apparatuses comprising a processing device configured to obtain data representing an ultrasound image, and determine whether the ultrasound image is clinically usable, wherein the determining comprises determining whether the ultrasound image lacks one or more landmarks. Determining whether the ultrasound image is clinically usable may further comprise determining a quality value representative of a quality of the ultrasound image and comparing the quality value to a threshold quality value. In some embodiments, landmarks comprise one or more anatomical features, such as a rib, a pleural line and an A line, a liver, and a kidney.

A method and apparatus for identifying blood vessels in ultrasound images and displaying blood vessels in ultrasound images are described. In some embodiments, the method is implemented by a computing device and includes assigning, with a neural network implemented at least partially in hardware of the computing device, one of a vein classification and an artery classification to one or more blood vessels in ultrasound images. The method also includes determining a misclassification for one blood vessel that denotes the neural network assigning the one of the vein classification and the artery classification to the one blood vessel in one ultrasound image and the other of the vein classification and the artery classification to the one blood vessel in additional ultrasound images. The method includes displaying, in the one ultrasound image, an indication of the other of the vein classification and the artery classification for the one blood vessel.

A method and ultrasound imaging system for performing an ultrasound examination. The method and system includes entering a workflow and displaying a plurality of graphical icons positioned on a graphical model. The method and system includes selecting a first anatomical zone, acquiring a first image, and saving and associating the first image with the first anatomical zone. The method and system includes saving and associating a first clinical finding with the first anatomical zone. The method and system includes selecting a second anatomical zone, acquiring a second image, and saving and associating the second image with the second anatomical zone. The method and system includes saving and associating a second clinical finding with the second anatomical zone. The method and system include displaying an examination overview including the first image, the first clinical finding, the second image, and the second clinical finding.

A system and method for capturing categorized notes on an ultrasound system is provided. The method includes receiving, by at least one processor of an ultrasound system executing a notes application, a selection to create a notes application document, presenting the notes application document at a display system, and inserting received notes in the notes application document. The method includes assigning an ultrasound topic category and/or an access privilege setting to the notes application document and selectively storing the notes application document having the received notes at one of a plurality of data storage media communicatively coupled to the ultrasound system based on the ultrasound topic category and/or the access privilege setting. The method includes retrieving the notes application document having the received notes from the one of the plurality of data storage media and presenting the notes application document having the received notes at the display system.

A facility for assessing an ultrasound image captured from a patient with a particular depth setting is described. The facility subjects the received ultrasound image to at least one neural network to produce, for each neural network, an inference. On the basis of the produced inferences, the facility determines whether the depth setting at which the ultrasound image was captured was optimal.