Systems and methods are provided for assessing patient blood flow using video image processing. According to one aspect, a method of analyzing at least one blood flow characteristic of a patient includes capturing a video including a plurality of frames of an arterio-venous (AV) fistula on the patient; amplifying motion in the video to produce a motion-amplified video; determining a difference in intensity between consecutive frames in the motion-amplified video to produce a time-function of an amplitude of the optic flow representing movement in an area of interest on the patient; and determining the at least one blood flow characteristic of the patient based on the time-function.

Vessel perfusion and myocardial blush are determined by analyzing fluorescence signals obtained in a static region-of-interest (ROI) in a collection of fluorescence images of myocardial tissue. The blush value is determined from the total intensity of the intensity values of image elements located within the smallest contiguous range of image intensity values containing a predefined fraction of a total measured image intensity of all image elements within the ROI. Vessel (arterial) peak intensity is determined from image elements located within the ROI that have the smallest contiguous range of highest measured image intensity values and contain a predefined fraction of a total measured image intensity of all image elements within the ROI. Cardiac function can be established by comparing the time differential between the time of peak intensity in a blood vessel and that in a region of neighboring myocardial tissue both pre and post procedure.

A radiography apparatus and a method for controlling the radiography apparatus are provided. The radiography apparatus includes a radiographer configured to acquire a first radiation image of a subject before a contrast reagent is injected into the subject, and acquire a second radiation image of the subject after the contrast reagent is injected into the subject. The radiography apparatus further includes an image processor configured to calculate a difference between data of a pixel of the first radiation image and data of a pixel of the second radiation image, for each of pixels of the first radiation image, and acquire an image of the subject based the difference for each of the pixels of the first radiation image.

A system and method includes reception of a plurality of fill frames of a patient volume, each of the plurality of fill frames depicting a contrast medium within the patient volume at a respective time, identification, for each pixel location of the fill frames, of a fill frame whose pixel at the pixel location is associated with a pixel value which represents a greater level of contrast medium than the pixel values of pixels at the pixel location within the others of the plurality of fill frames, generation of a peak contrast fill frame corresponding to each fill frame, the peak contrast fill frame corresponding to a given fill frame including, at pixel locations for which the given fill frame was identified, pixels associated with pixel values of the given fill frame, and storage of the plurality of peak contrast fill frames.

The cross-sectional area of a tubular cardiovascular structure to assess blood flow wherein the segmentation of the lumen is applied with a deformable model to the three-dimensional image and fitting the deformable model to the three-dimensional image to obtain a fitted model representing the segmentation of the lumen.

An X-ray imaging apparatus includes an X-ray irradiation element, an X-ray detection element, an X-ray image generation element, and an image processing analysis element. The image processing analysis element reflects the analysis point on each frame based on a respective relative location between a characteristic point 10 of the X-ray image consisting of a plurality of frames. In addition, an image analysis element analyzes the time-course variation of the blood flow in the blood vessel of the heart based on the variation of the pixel value at the analysis point of each frame of the X-ray image.

An ultrasound diagnosis apparatus includes: transmission and reception circuitry that generates reception signals corresponding to channels, from reflected waves arranged to be received at mutually the same time by transducer elements that transmitted an ultrasound wave, by controlling transducer elements included in an ultrasound probe; extracting circuitry that extracts, prior to a beam forming process, first signals corresponding to the channels from the reception signals corresponding to the channels while suppressing signals originating from a tissue and further extracts a second signal by performing the beam forming process after suppressing, of the extracted first signals corresponding to the channels, a component in a predetermined direction; calculating circuitry that calculates blood flow information from the second signal; and controlling circuitry that generates a blood flow image from the blood flow information and causes display to display the generated blood flow image.

A system and a method are for quantifying blood loss on the basis of contrast-agent based computed tomography imaging of the torso of a patient. To this end, image data of a computed tomograph is firstly read in, in order thereupon to apply an image analysis method for automatically detecting accumulations of blood. A differentiation method is then carried out to differentiate between pathological and physiological accumulations of blood and a quantification algorithm for calculating and outputting a blood loss value for the pathological accumulations of blood.

The present application relates to a method and system for analyzing blood flow conditions. The method includes: obtaining images at multiple time phases; constructing multiple vascular models corresponding to the multiple time phases; correlating the multiple vascular models; setting boundary conditions of the multiple vascular models respectively based on the result of correlation; and determining condition of blood vessel of the vascular models.

The present application relates to a method and system for analyzing blood flow conditions. The method includes: obtaining images at multiple time phases; constructing multiple vascular models corresponding to the multiple time phases; correlating the multiple vascular models; setting boundary conditions of the multiple vascular models respectively based on the result of correlation; and determining condition of blood vessel of the vascular models.