A method of processing data by an imaging system is described. The imaging system generates a velocity data set and magnitude data set representative of a fluid. The method includes receiving velocity data set from the imaging system, calculating a phase variation data set from a wrapped phase field data set associated with the velocity data set, calculating a phase difference uncertainty data set from the magnitude data set, using the phase variation-data set and the phase difference uncertainty data set, performing a computational reconstruction of the phase field, data set to generate an unwrapped phase data set, converting the unwrapped phase to a first velocity field data set; and outputting a resultant velocity field set based upon the first velocity field data set.

A method for non-invasive assessment of vascular 4D hemodynamics includes receiving standard anatomic imaging data at a local network or cloud-based analysis platform and identifying a vessel of interest from the received anatomic imaging data. The method also includes deriving hemodynamic features from the vessel of interest from the received anatomic imaging data using deep learning by inputting the received anatomic imaging data into a deep learning network. The method further includes calculating 4D hemodynamic parameters and generating output data based on the hemodynamic features derived from the vessel of interest.

Relationships between morphological changes to an eye due to intraocular pressure changes and blood perfusion and nerve function changes in the retina are determined by colocalizing retinal perfusion data, optic nerve head (ONH) mechanical deformation data, visual field data and nerve fiber data. Perfusion and nerve function changes from intraocular pressure (IOP) changes are determined by colocalizing retinal perfusion data with ONH mechanical deformation data, visual field data and nerve fiber data. Optical coherence tomography-angiography (OCT-A) can be used to generate retinal perfusion data, mechanical deformation data for an imaged volume, and nerve fiber data. A three-dimensional model (e.g., connectivity map or connectivity model) of the vasculature and nerve fibers can be generated from the OCT-A imaging data and used to predict changes in blood perfusion and nerve function in various areas of the retina due to IOP-induced mechanical deformations.

This disclosure relates to portable speckle imaging system and method for automated speckle activity map based dynamic speckle analysis. The embodiments of present disclosure herein address unresolved problem of capturing variations in speckle patterns where noise is completely removed and dependency on intensity of variations in speckle patterns is eliminated. The method of the present disclosure provides a correlation methodology for analyzing laser speckle images for applications such as seed viability, fungus detection, surface roughness analysis, and/or the like by capturing temporal variation from frame to frame and ignoring the intensity of speckle data after denoising, thereby providing an effective mechanism to study speckle time series data. The system and method of the present disclosure performs well in terms of time efficiency and visual cues and requires minimal human intervention.

An image processing apparatus includes an image acquisition unit acquiring a medical image, a region setting unit setting a peripheral region around an inner region set in the medical image as a region including a lesion, an intensity value ratio distribution calculation unit calculating a histogram comprising a distribution of intensity value ratios for the inner region and calculating a histogram being a distribution of intensity value ratios for the peripheral region, a ratio difference calculation unit that calculates a ratio difference comprising a difference between intensity value ratios in the inner region and peripheral regions for each of predetermined intensity values, an intensity value determination unit selecting a pixel to be highlighted in the medical image based on the ratio difference, and a display processing unit outputting the medical image whereby the pixel selected by the pixel selection unit is highlighted in the medical image to a display device.

A computer-implemented method and system for assessing vascular disease is disclosed. The disclosure provides receiving angiography image data, including a plurality of image frames captured over a sampling time-period for a subject; identifying a representative image frame from the plurality of image frames; segmenting the plurality of image frames to isolate a vessel region; inferring a plurality of centerline node points associated with a centerline of the vessel; tracking movement of the plurality of centerline node points between successive centerline node points of the plurality of angiogram image frames; registering each segmented frame of the plurality of image frames to the representative image frame; and determining a flow rate of the vessel based in part on a change in length of the vessel represented in successive registered image frames.

Provided are ultrasonic imaging device and ultrasonic imaging system. Ultrasonic imaging device includes analog-to-digital processing unit, buffer storage unit, imaging processing unit GPU, and image processing module. Analog-to-digital processing unit includes first interface, multiple frequency mixer circuits, multiple filter circuits, multiple analog-to-digital conversion circuits, and second interface. First interface receives, in parallel, multiple analog radio frequency signals formed by ultrasonic waves sensed and returned by multiple sensors of probe. Second interface outputs multiple groups of digital IQ data. Buffer storage unit receives, buffers, and stores digital IQ data. Imaging processing unit GPU, at least in part and in parallel, performs imaging processing on digital IQ data, to respectively form multiple raw image data of multiple pixel points of multiple image lines in multiple image rows of image. Image processing module forms image data of ultrasonic imaging based on raw image data.

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.

Described herein are systems, methods, and computer-readable medium for detecting a perfusion abnormality of a subject. In one embodiment, a method includes the following: obtaining, by dynamic radiography, imaging data for a dynamic series of a plurality of x-ray images that include areas of a subject corresponding to pulmonary vasculature; identifying, based on the imaging data, a dynamic signal corresponding to changing blood volume during the cardiac cycle of the subject; decomposing the dynamic signal into periodic components in frequency space; identifying, from the periodic components in frequency space, signals oscillating at the heart rate of the subject; generating, based on the identified signals oscillating at the heart rate of the subject, a perfusion map representation corresponding to pulmonary tissue perfusion in the subject; and detecting, based at least in part on the generated perfusion map representation, a perfusion abnormality of the subject.

Systems and methods disclosed herein provide a method for real-time PCI guidance. A method comprises receiving one or more images of a blood vessel from an imaging modality system, the blood vessel having a lumen, a lumen surface, and a wall; building a 3D model of the blood vessel based on the one or more images; segmenting one or more materials between the lumen and the wall of the blood vessel; reconstructing the blood vessel based on the one or more images; assigning material properties to the reconstructed surface of the blood vessel; determining a wall thickness, a plaque thickness, a lumen area, a plaque eccentricity and one or more plaque constituents; guiding an interventional procedure in real-time based on the 3D reconstructed vessel lumen surface and segmented materials; and performing balloon pre-dilation, a percutaneous coronary intervention, and balloon post-dilation with the 3D reconstructed vessel lumen surface and segmented materials.