Systems and methods for super-resolution ultrasound imaging of microvessels in a subject are described. Ultrasound data are acquired from a region-of-interest in a subject who has been administered a microbubble contrast agent. The ultrasound data are acquired while the microbubbles are moving through, or otherwise present in, the region-of-interest. The region-of-interest may include, for instance, microvessels or other microvascuiature in the subject. By isolating, localizing, tracking, and accumulating the microbubbles in the ultrasound data, super-resolution images of the microvessels can be generated.

A medical information processing apparatus according to an embodiment includes processing circuitry. The processing circuitry obtains image data rendering a blood vessel of a patient. The processing circuitry performs a fluid analysis on the obtained image data and calculates an index value related to a blood flow in the blood vessel with respect to each of a plurality of positions in the blood vessel. With respect to the index values to be calculated, the processing circuitry selects a position in which a first value is to be obtained from among the plurality of positions or selects a value serving as the first value from among the index values exhibited in positions. The processing circuitry causes a display to display the first value in a predetermined display region thereof used for displaying the first value.

An adaptor for adjusting electrical signals propagated along an electrically-conductive path between a drive unit and a catheter of an intravascular ultrasound imaging system includes a catheter connector disposed along a first end of a housing and configured to receive the catheter. A drive-unit connector is disposed along a second end of the housing and is configured to couple the adaptor to the drive unit. A catheter-conductor interface electrically-couples to a transducer conductor of the catheter. A drive-unit-conductor interface electrically-couples to an electrical conductor of the drive unit. An adaptor conductor electrically-couples the catheter-conductor interface to the drive-unit-conductor interface. A tuning element is electrically-coupled to the adaptor conductor and is configured to adjust electrical signals propagating along the adaptor conductor based, at least in part, on an operational frequency of a transducer disposed in the catheter.

A system including a hierarchical analytics framework that can utilize a first set of machine learned algorithms to identify and quantify a set of biological properties utilizing medical imaging data is provided. System can segment the medical imaging data based on the quantified biological properties to delineate existence of perivascular adipose tissue. The system can also segment the medical imaging data based on the quantified biological properties to determine a lumen boundary and/or determine a cap thickness based on a minimum distance between the lumen boundary and LRNC regions.

Systems and methods are disclosed for identifying features of a blood vessel using extravascular and intravascular images in order to estimate a virtual flow reserve (VFR) of the imaged blood vessel. Aspects of the disclosure include using extravascular images to estimate the size of the blood vessel in regions that have not been intravascularly imaged. The VFR estimation may be based on a resistance model that incorporates both the intravascular image data and the estimated blood vessel size. In other aspects, multiangled extravascular images are captured and analyzed in order to identify the size and orientation of branch vessels.

Intravascular imaging systems and methods for making and using intravascular imaging devices are disclosed. An example intravascular imaging device may comprise a catheter including an imaging device. A processor may be coupled to the catheter. The processor may be configured to process image data received from the imaging device. The processor may be configured to generate a calcium map. The calcium map may include an indicator of calcium depth to a vessel lumen surface, calcium distance to a center of the catheter, or both. A display unit may be coupled to the processor. The display unit may be configured to show a display including the calcium map.

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 receiving ultrasound images that include a blood vessel, and determining, with a neural network implemented at least partially in hardware of the computing device, diameters of the blood vessel in the ultrasound images. The diameters include a respective diameter of the blood vessel for each ultrasound image of the ultrasound images. The method includes determining a blood vessel diameter based on the diameters of the blood vessel, selecting a color based on the blood vessel diameter, and indicating, in one of the ultrasound images, the blood vessel with an indicator having the color.

An intraluminal ultrasound imaging device includes a flexible elongate member configured to be inserted into a body lumen of a patient, the flexible elongate member comprising a proximal portion and a distal portion. The device also includes an ultrasound scanner assembly disposed at the distal portion of the flexible elongate member. The ultrasound scanner assembly includes a flexible substrate; a transducer region positioned on the flexible substrate; and a control region positioned on the flexible substrate, wherein the transducer region and the control region are radially arranged relative to one another. Associated devices, systems, and methods are also described.

In accordance with the present disclosure, deep-learning techniques are employed to find anomalies corresponding to bleed events. By way of example, a deep convolutional neural network or combination of such networks may be trained to determine the location of a bleed event, such as an internal bleed event, based on ultrasound data acquired at one or more locations on a patient anatomy. Such a technique may be useful in non-clinical settings.

A Doppler waveform generation unit 30 obtains Doppler information from a reception signal collected from a diagnosis region and generates a Doppler waveform. An initial time-phase setting unit 40 sets a beginning initial time-phase and an ending initial time-phase of the Doppler waveform. In the setting, an electrocardiographic waveform signal obtained from a subject using an electrocardiograph or the like and learned data stored in a learned data storage unit 60 are used. A measurement time-phase search unit 50 searches for a beginning time-phase of the Doppler waveform near the beginning initial time-phase, and searches for an ending time-phase of the Doppler waveform near the ending initial time-phase. In the search process, the learned data stored in the learned data storage unit 60 is used.