An ultrasound imaging system computes real time physiological parameters from measurements of anatomical features in ultrasound image data using a neural network to identify the location of the anatomical features. In one embodiment, cardiac parameters are computed from endocardial wall tracings in M-mode ultrasound image data that are identified by the neural network.

An analysis apparatus includes processing circuitry configured to obtain quantitative values of a plurality of types of tissue properties relating to a region of interest of a subject, and generate a diagram of the region of interest based on the quantitative values.

An analysis apparatus includes processing circuitry configured to obtain quantitative values of a plurality of types of tissue properties relating to a region of interest of a subject, and generate a diagram of the region of interest based on the quantitative values.

An ultrasonic diagnostic imaging system is used to acquire a fetal image in a sagittal view for the performance of a nuchal translucency measurement. After a fetal image has been acquired, a zoom box is positioned over the image, encompassing a region of interest. The size of the zoom box is automatically set for the user in correspondence with gestational age or crown rump length. The system automatically tracks the region of interest within the zoom box in the presence of fetal motion in an effort to maintain the region of interest within the zoom box despite movement by the fetus.

Devices, systems, and methods of imaging a blood vessel are provided. For example, the method can include obtaining fluoroscopic image data of a region of interest in a blood vessel using an x-ray source; obtaining intravascular ultrasound (IVUS) data at a plurality of positions across the region of interest using an IVUS component disposed on an intravascular device; processing the fluoroscopic image data and IVUS data, including: determining, using the fluoroscopic image data, a position of the intravascular device with respect to the x-ray source at each of the plurality of positions across the region of interest; co-registering the fluoroscopic image data and the IVUS image data; and generating, a model of the region of interest including position information of a border of a lumen of the blood vessel at each of the plurality of locations; and outputting a visual representation of the model of the region of interest.

A handheld ultrasound device comprises a plurality of components configured to provide decreased size, weight, complexity and power consumption. The handheld ultrasound device may comprise an ultrasound transducer and an analog to digital (“A/D”) converter coupled to the ultrasound transducer. A processor comprising a beamformer can be coupled to the A/D converter and configured to selectively store a plurality of signals from the A/D converter in a memory of the processor. The beamformer can be configured to implement and compress a flag table in place of a delay table. These improvements can decrease the amount of memory used to generate ultrasound images, which can decrease the size weight and power consumption of the handheld ultrasound device.

Methods, systems, and coaptation measurement devices as described herein include an elongate sensor body at the end of a proximal connecting member, and a plurality of sensors in an array across a face of the sensor body, wherein each sensor of the plurality of sensors is configured to detect if a portion of a heart valve is in contact with the sensor.

Disclosed is a peroral endoscopic apparatus of a swallowable type, the peroral endoscopic apparatus including: at least one imaging unit configured to perform imaging of a human body digestive system and output image data; at least one ultrasonic unit configured to output ultrasonic data on a submucosal region of the digestive system and a peripheral organ located therearound; a magnetic unit configured to adjust a position, a posture, and a proceeding direction of the peroral endoscopic apparatus in response to an external magnetic force; a transceiving unit configured to transmit the image data and the ultrasonic data to an external device or receive an external control signal; a control unit configured to control the imaging unit and the ultrasonic unit to perform imaging of the digestive system and the submucosal region simultaneously or individually; and a power supply unit configured to supply power.

The following relates generally to systems and methods of trans-esophageal echocardiography (TEE) automation. Some aspects relate to a TEE probe with ultrasonic transducers on a distal end of the TEE probe. In some implementations, if a target is in a field of view (FOV) of the ultrasonic transducers, an electronic beam steering of the probe is adjusted; if the target is at an edge of the FOV, both the electronic beam steering and mechanical joints of the probe are adjusted; and if the target is not in the FOV, only the mechanical joints of the probe are adjusted.

A telesurgical mentoring platform with a wheeled base, a lower rack mounted on the base, an upper rack extending vertically from the lower rack, a compactly foldable articulated arm that is configured to extend horizontally outward away from the upper rack and configured to connect to a connector piece holding an end effectuator at its distal end, a tablet personal computer; the console configured to be readily mobilized on the floor of an existing operating room and is capable of providing a connectivity point for communication, audiovisual, and data transfer services in an operating room.