Systems, methods, and devices are provided for automatically adjusting the scale or magnification of an intraluminal image on a display of an intraluminal imaging system based on a measured or computed size of the vessel. For example, a system may include a processor configured to receive, from an intraluminal imaging catheter or guidewire, a first intraluminal image of a body lumen, and compute a dimension of an anatomical feature of the body lumen based on the first intraluminal image. The processor computes a scaling factor for the first intraluminal image based on the dimension of the body lumen, scales the first intraluminal image by the scaling factor, and outputs the scaled first intraluminal image to a display in communication with the processor circuit.

The present disclosure relates to a method and system for diagnosing blood vessel obstruction, such as would occur in deep vein thrombosis (DVT). More specifically, the present disclosure relates to a software tool for use with sensor hardware to allow users to perform standardised and repeatable testing of patients to assist with diagnosis of deep vein thrombosis or related conditions. The present disclosure further relates to an apparatus and method for conducting the diagnosis. The apparatus includes an imaging probe and a computing device, where the computing device is configured to assist the user in placing the imaging probe on a blood vessel and moving the imaging probe between predetermined landmarks along the blood vessel.

A method for providing real-time feedback and semantic-rich guidance on ultrasound image quality is performed by a processor in an ultrasound system. The method includes receiving an ultrasound image and classifying the ultrasound image into one or more categories based on image features. The classifying creates a classified image. The method also includes determining whether the classified image provides an acceptable representation of a target organ. In response to determining that the classified image does not provide an acceptable representation of the target organ, the method includes selecting operator guidance corresponding to the one or more category; presenting via a display and/or audible sound, the selected operator guidance; and receiving additional ultrasound images. The method further includes calculating a result based on the classified image in response to determining that the classified image provides an acceptable representation of the target organ.

For clutter reduction in ultrasound elasticity imaging, the contribution of clutter to different frequency components (e.g., the transmit fundamental and the propagation generated second harmonic) is different. As a result, a difference in displacements determined at the different frequency bands is used to reduce clutter contribution to displacements used for elasticity imaging.

A method for using an interactive visual guidance tool for an imaging acquisition and display configured for user navigation with respect to a blockage of a field of view detects, and spatially defines, the blockage. It also integrates, with the image for joint visualization, an indicium that visually represents the definition. The indicium is moved dynamically according to movement, relative to the blockage, of the field of view. The indicium can be shaped like a line segment, or two indicia can be joined in a “V” shape to frame a region of non-blockage. The defining may be based on determining whether ultrasound beams in respective directions are blocked.

A needle assembly for use with an ultrasound imaging system includes a needle having a proximal end and a distal end. The distal end is adapted to be inserted into a patient. The needle assembly also includes a transducer mounted to an exterior surface of the needle at the distal end. Further, the needle assembly includes a flexible printed circuit board mounted on the exterior surface of the needle from the proximal end to the distal end. As such, the flexible printed circuit board electrically connects the transducer to a power source.

A wireless handheld ultrasound system an ultrasound front end to transmit ultrasonic waves into a subject and convert received ultrasonic echoes into digital data; an image processor coupled to the ultrasound front end to convert the digital data into an image; and a power section coupled to the ultrasound front end and the image processor. The power section may include a battery; a charging circuit to charge the battery; and a wireless power transducer coupled to the charging circuit to convert wireless power received from an external source into electrical energy for the charging circuit.

Disclosed herein is a medical device system configured to detect one or more blood vessels within a target area. The medical device system includes an ultrasound probe configured to detect one or more blood vessels, the ultrasound probe in communication with a console. The medical device system further includes one or more blood vessel correlation tools configured to generate a local output detectable by a user. The one or more blood vessel correlation tools are coupled to the ultrasound probe and in communication with a console. The one or more blood vessel correlation tools are selected from the group consisting of a light array, one or more visible light projectors, a haptic feedback system, and an auditory device.

Disclosed herein is an ultrasound imaging system including an ultrasound probe and a blood vessel visualization device. The ultrasound probe includes an ultrasound generation device and is configured to detect one or more blood vessels. The blood vessel visualization device is configured to project a depiction of the blood vessel topography within a target area. The blood vessel visualization device can include one or more near-infrared/infrared emitters configured to generate infrared/near-infrared waves within the target area, one or more near-infrared/infrared sensors configured to detect the difference in reflective properties of tissue and blood vessels within the target area, and one or more visual light projectors configured to project a blood vessel visualization depiction of the blood vessel topography onto the target area.

In some examples, color Doppler data may be separated into luminance data and chrominance data. The luminance data may be modified without modifying the chrominance data. In some examples, the luminance data may be adjusted based, at least in part, on power Doppler data. The adjusted luminance data may be recombined with the chrominance data to provide augmented color Doppler data. In some examples, the power Doppler data may be enhanced by filtering, for example, by applying a Frangi vesselness filter, prior to being used to adjust the luminance data of the color Doppler data.