A medical image processing device of an embodiment includes processing circuitry. The processing circuitry is configured to acquire medical images of a plurality of time phases of a brain of a subject, having one of left and right sides of the brain as an affected side and the other as a healthy side, to derive feature amounts related to collateral circulation in the brain of the subject based on the acquired original medical images, and to analyze a time phase delay in the affected side relative to the healthy side based on a result of comparing the feature amounts of the affected side and the healthy side for each of the plurality of time phases.

A stenosis assessment method and device based on the intracranial digital subtraction angiographic (DSA) imaging, including acquiring the intracranial DSA imaging and extracting two planar images containing the target blood vessel from the DSA imaging, wherein the two planar images have different shooting angles. According to the two planar images, a 3D model of the target vessel is established. Based on the established 3D model of the target vessel and the DSA imaging, the hemodynamic simulation of the target vessel is performed. The disclosure realizes the functional assessment of intracranial vascular stenosis, improves the diagnostic accuracy, and provides certain assistance for neurologists to determine intervention means. The disclosure of noninvasive FFR technology in the assessment of intracranial vascular stenosis can only rely on angiography for functional assessment, saving the medical examination cost of patients. It has more convenient operation and higher repeatability.

In part, the disclosure relates to methods, and systems suitable for evaluating image data from a patient on a real time or substantially real time basis using machine learning (ML) methods and systems. Systems and methods for improving diagnostic tools for end users such as cardiologists and imaging specialists using machine learning techniques applied to specific problems associated with intravascular images that have polar representations. Further, given the use of rotating probes to obtain image data for OCT, IVUS, and other imaging data, dealing with the two coordinate systems associated therewith creates challenges. The present disclosure addresses these and numerous other challenges relating to solving the problem of quickly imaging and diagnosis a patient such that stenting and other procedures may be applied during a single session in the cath lab.

Embodiments include a system for determining cardiovascular information for a patient. The system may include at least one computer system configured to receive patient-specific data regarding a geometry of the patient's heart, and create a three-dimensional model representing at least a portion of the patient's heart based on the patient-specific data. The at least one computer system may be further configured to create a physics-based model relating to a blood flow characteristic of the patient's heart and determine a fractional flow reserve within the patient's heart based on the three-dimensional model and the physics-based model.

A method comprises receiving a user input to select a first point and a second point from a medical image, extracting a plurality of blood vessel regions from a plurality of frame images of the medical image, determining a plurality of first regions associated with the first point and a plurality of second regions associated with the second point, determining a first frame image and a second frame image with the contrast agent arriving at the first point and the second point, based on a change in pixel intensity for each of the plurality of first regions and the plurality of second regions, and computing the blood flow velocity from the first point to the second point based on a time interval between the first frame image and the second frame image and on a distance between the first point and the second point.

The present disclosure relates to a method of obtaining outlet boundary conditions of blood vessels for computational fluid dynamics simulation of blood flow without in vivo blood pressure measurement. Since it is not required to insert a pressure wire, the method can be applied in situations in which it is difficult to obtain in vivo data through invasive methods such as in the cerebral arteries, so it is possible to obtain outlet boundary conditions for performing arterial blood flow simulation without direct in vivo blood pressure measurement. Further, it is possible to quickly obtain optimal conditions in terms of fluid transport energy loss without performing 3D computational fluid dynamics analysis by using the Windkessel model that is a lumped parameter method.

A measurement device includes the following: a time-series signal obtaining unit configured to obtain a biological signal, which is time-series data of a biological signal value calculated from an image captured by imaging a living body, and obtain a determination index for the image; a biological-information calculating unit configured to divide the biological signal into pulse signals at predetermined times based on the cycle of a biological phenomenon; and a pulse determining unit configured to adopt pulse signals including biological signal vales calculated from the image that enables a determination index satisfying a determination condition to be calculated. The biological-information calculating unit calculates biological information by using the pulse signals adopted by the pulse determining unit.

Systems and methods for analysis of a whole blood sample from an individual to determine the platelet function and coagulation status of the individual in a substantially automated and efficient matter. Also provided here are systems, reagent kits, and methods for concurrent assessment of platelet function and coagulation as they interact during hemostasis.

The invention relates to an image processing device (3) comprising a data input unit (4) for receiving volumetric medical image data (7) organized in voxels and processing unit (5), wherein the volumetric medical image data (7) os spectral computed tomography data. The processing unit (5) is adapted to perform an automatic anatomical shape model segmentation (8) on the volumetric medical image data (7). It is further adapted to perform a determination of a first layer of interest (9) and of a second layer of interest (11). A first projection (10) of the first layer of interest (9) is performed, yielding perfusion information data, and a second projection (14) of the second layer of interest (11) is performed, yielding vascular information data. Finally. a graphical combination (15) of the perfusion information data and the vascular information data is performed, yielding combined information data (21). The invention further relates to a spectral computed tomography system (1) comprising an image processing device (3) and to a computer program element.

Laser speckle contrast imaging techniques that apply a temporal sliding window to a sequence of speckle frames of an avian egg to determine overlapping sets of speckle frames used to reconstruct a sequence of extraembryonic blood vessel images (e.g., movie) showing blood flow dynamics, and where input to a machine learning model based on the overlapping sets of speckle frames can be used to predict the developmental stage of the avian egg, and where the overlapping sets of speckle frames can be used in drug screening.