A medical image processing apparatus according to an embodiment includes processing circuitry. The processing circuitry is configured to obtain medical image data related to a coronary artery of a subject. The processing circuitry is configured to derive a value of a blood flow parameter indicating hemodynamics of the coronary artery, on the basis of the medical image data. The processing circuitry is configured to display information indicating a change in the value of the blood flow parameter along the coronary artery, by using a graph of which the vertical axis expresses values of the blood flow parameter and of which the horizontal axis corresponds to the distance direction along the coronary artery and is configured to further display supplementary information indicating the structure of the coronary artery together with the graph.

Provided is an electronic device that makes it possible to accurately acquire information in relation to a change in a blood flow before and after an event, a control method for the electronic device, and a storage medium. An electronic device 1 includes: a video processing unit 111 acquires, based on video information of a body in a first video obtained by imaging at least a part of the body, pulse wave information indicating a pulse wave of a first portion 61 of the body and pulse wave information indicating a pulse wave of a second portion 62, and acquires, based on video information of the body in a second video, pulse wave information indicating a pulse wave of the first portion 61 and pulse wave information indicating a pulse wave of the second portion 62; and an information processing unit 113 acquires, based on a relationship between the pulse wave information of the first portion and the pulse wave information of the second portion acquired from the first video, and a relationship between the pulse wave information of the first portion and the pulse wave information of the second portion acquired from the second video, a measurement result indicating a degree of change in blood flow from when imaging the first video to when imaging the second video.

A system and method for determining a trajectory parameter of particles, comprising receiving a plurality of particles at a microfluidic channel, applying a force to each particle of the microfluidic channel, acquiring a dataset of each particle, measuring a trajectory of the particle, and determining a trajectory parameter of the particles.

A method for detecting vascular obstruction and a system using the same are provided. The method includes steps of: detecting a blood vessel through a probe to generate a reference signal before the blood vessel is obstructed, wherein the probe is configured to transmit or receive ultrasonic waves; detecting the blood vessel through the probe to generate a detection signal; performing Fourier transformation on the reference signal to generate a reference power spectrum, and performing Fourier transformation on the detection signal to generate a detection power spectrum; transforming the reference power spectrum into a reference time-frequency spectrogram, and transforming the detection power spectrum into a detection time-frequency spectrogram; judging a similarity between the reference time-frequency spectrogram and the detection time-frequency spectrogram, and judging whether the blood vessel is obstructed or not according to the similarity.

According to a first aspect, the present disclosure relates to a digital holography device (100) for full-field blood flow imaging of ocular vessels of a field of view of a layer (11) of the eye (10). The device comprises an optical source (101) configured for the generation of an illuminating beam (Eobj) and a reference beam (E.sub.LO), and a detector (135) configured to acquire a plurality of interferograms (I(x,y,t)) wherein an interferogram is defined as the signal resulting from the interference between the said reference beam (E.sub.LO) and a part of said illuminating beam (Eobj) that is backscattered from said layer (11). The device further comprises a processing unit (150) configured for processing said plurality of interferograms, (I(x,y,t)), wherein said processing comprises: the calculation (202), for each interferogram, of a hologram (H(x,y,t)), resulting in a first plurality of holograms; the selection (203), in sequential time windows, (tw), of second pluralities of holograms; the calculation (204), for each said second plurality of holograms, of a Doppler power spectrum (S(x,y,f)); the calculation (205), based on said Doppler power spectrum, of at least a first Doppler image thus generating at least a first plurality of Doppler images; the processing of each first Doppler image, wherein said processing comprises the devignetting (206) of said first Doppler image, resulting in a devignetted first Doppler image; the normalization (207) of said devignetted first Doppler image based on a spatial average of an intensity of said first Doppler image, resulting in a normalized first Doppler image; and the subtraction (208), from said normalized first Doppler image, of said spatial average of said intensity of said first Doppler image, resulting in a corrected first Doppler image.

A method for calculating an index of microcirculatory resistance includes determining myocardial volume by extracting myocardial images; locating a coronary artery inlet and accurately segmenting coronary arteries; generating a grid model required for calculation; determining myocardial blood flow in a rest state and CFR; calculating total flow at the coronary artery inlet in a maximum hyperemia state; determining flow in different blood vessels in a coronary artery tree in the maximum hyperemia state and then determining a flow velocity V.sub.1 in the maximum hyperemia state; obtaining the average conduction time in the maximum hyperemia state Tmn, and calculating a pressure drop ΔP from the coronary artery inlet to a distal end of a coronary artery stenosis, and a mean intracoronary pressure P.sub.d at the distal end of the stenosis P.sub.d=P.sub.a−ΔP, and calculating the index of microcirculatory resistance.

Systems and methods are disclosed for predicting coronary plaque vulnerability, using a computer system. One method includes acquiring anatomical image data of at least part the patient's vascular system; performing, using a processor, one or more image characteristics analysis, geometrical analysis, computational fluid dynamics analysis, and structural mechanics analysis on the anatomical image data; predicting, using the processor, a coronary plaque vulnerability present in the patient's vascular system, wherein predicting the coronary plaque vulnerability includes calculating an adverse plaque characteristic based on results of the one or more of image characteristics analysis, geometrical analysis, computational fluid dynamics analysis, and structural mechanics analysis of the anatomical image data; and reporting, using the processor, the calculated adverse plaque characteristic.

Apparatus and methods are described for use with an imaging device (12) configured to acquire a set of angiographic images of a lumen. At least one processor (10) determines blood velocity within the lumen, via image processing. The processor determines a value of a flow-related parameter at the location based upon the determined blood velocity. The processor additionally receives an indication of a value of a second flow-related parameter of the subject, and determines a value of a luminal-flow-related index of the subject at the location, by determining a relationship between the value of the current flow-related parameter and the value of the second flow-related parameter. Other applications are also described.

The present disclosure describes a system and a method for producing patient-specific small diameter vascular grafts (SDVG) for coronary artery bypass graft (CABG) surgery. In some embodiments, the method for producing SDVGs includes non-invasive quantification of patient-specific coronary and vascular physiology by applying computational fluid dynamics (CFD), rapid prototyping, and in vitro techniques to medical images and coupling the quantified patient-specific coronary and vascular physiology from the CFD to computational fluid-structure interactions and SDVG structural factors to design a patient-specific SDVG.

Visualization of a region of interest and planning a location of at least one injection point for a medical procedure is provided. At least one volume of imaging data for a region of interest is received. At least one virtual injection point is obtained. The at least one injection point indicates a location in a network of blood vessels for at least one injection. First and second rendering modules are controlled to construct a combined volume presentation including a first volume region rendered by a first rendering module at a relatively low level of detail and a second volume region is rendered at a higher level of detail by a second rendering module. The first and second volume regions are designated based on the at least one virtual injection point.