Disclosed is an ultrasonic blood perfusion imaging method for a single blood vessel, comprising: setting an ultrasound focusing label point in a blood vessel contour of a blood vessel to be measured in a region to be measured; obtaining a preactivated ultrasound image of the region to be measured when an ultrasound contrast agent is in an inactive state; activating the ultrasound contrast agent; obtaining an activated ultrasound image of the region to be measured when the ultrasound contrast agent is in an activated state; obtaining an activation map of the ultrasound contrast agent in the blood vessel to be measured; and obtaining a blood flow perfusion distribution map of the blood vessel to be measured. The ultrasound contrast agent is activated at the ultrasound focusing label point causing liquid-to-gas conversion, and the ultrasound signal changes from dark to bright.

Disclosed is an ultrasonic blood perfusion imaging method for a single blood vessel, comprising: setting an ultrasound focusing label point in a blood vessel contour of a blood vessel to be measured in a region to be measured; obtaining a preactivated ultrasound image of the region to be measured when an ultrasound contrast agent is in an inactive state; activating the ultrasound contrast agent; obtaining an activated ultrasound image of the region to be measured when the ultrasound contrast agent is in an activated state; obtaining an activation map of the ultrasound contrast agent in the blood vessel to be measured; and obtaining a blood flow perfusion distribution map of the blood vessel to be measured. The ultrasound contrast agent is activated at the ultrasound focusing label point causing liquid-to-gas conversion, and the ultrasound signal changes from dark to bright.

An apparatus comprising an array of polymer-based capacitive micromachined ultrasonic transducers positioned on a substrate. The substrate may be at least substantially transparent to ionizing radiation, be flexible, and/or have walls positioned thereon to protect the transducers.

Systems and methods disclosed herein relate to the detection of irregular particles in a blood flow based on a determined relative speed of a particle suspended in a blood flow and/or other properties of a particle suspended in a blood flow including a particle's relative position within a blood vessel and a particles tendency to cluster with other particles suspended in a blood flow. Based on a determined relative speed and/or other relevant factors, the properties of irregular particles may also be measured, including the size, shape, and frequency of irregular particles in a blood flow. Machine learning techniques may be employed to determine patterns for the behavior of irregular particles suspended in a blood flow. These patterns may correspond to particular health risks and conditions.

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 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.

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 device is provided for automatically assessing functional hemodynamic properties of a patient is provided, the device comprising: a housing; an ultrasound unit coupled to the housing and adapted for adducing ultrasonic waves into the patient at a vessel; a detector adapted to sense signals obtained as a result of adducing ultrasonic waves into the patient at the vessel and to record the; and a processor adapted for receiving the recorded signals as data and transforming the data for output at an interface. Other devices, systems, methods, and/or computer-readable media may be provided in relation to assessing functional hemodynamics of a patient.

A device is provided for automatically assessing functional hemodynamic properties of a patient is provided, the device comprising: a housing; an ultrasound unit coupled to the housing and adapted for adducing ultrasonic waves into the patient at a vessel; a detector adapted to sense signals obtained as a result of adducing ultrasonic waves into the patient at the vessel and to record the; and a processor adapted for receiving the recorded signals as data and transforming the data for output at an interface. Other devices, systems, methods, and/or computer-readable media may be provided in relation to assessing functional hemodynamics of a patient.

A blood-vessel recognition blood-flow measurement method including: obtaining a real-time Doppler spectrum by performing a Fourier transform on a temporal waveform of the intensity of scattered light of laser light in a living body; calculating a normalized real-time Doppler spectrum and a normalized zero spectrum; calculating a region spectrum from a subtracted spectrum that is calculated through subtraction of these calculated spectra; calculating a PS reference spectrum by subtracting, from the region spectrum, the maximum value of the region spectrum in a predetermined PS reference region; calculating an average frequency on the basis of a computational spectrum that is obtained by replacing an element of which the PS reference spectrum is negative with zero; and determining a blood flow velocity by comparing the calculated average frequency with a predetermined threshold.