According to one embodiment, a medical image analyzer includes a retriever, a first artery transition information unit, a vessel pixel selector, a blood vessel transition information unit, an image association unit, and a second artery transition information unit. The retriever retrieves a plurality of time-series images. The first artery transition information unit obtains first artery transition information. The vessel pixel selector selects vessel pixels. The blood vessel transition information unit obtains blood vessel transition information. The image association unit obtains a correspondence relationship between one and another of the time-series images. The second artery transition information unit obtains second artery transition information based on time information, the first artery transition information, and the blood vessel transition information, and the correspondence relationship.

A method and system for tracking blood flow within a vessel of a patient are presented. At least one or more medical images of the patient are acquired showing at least one vessel of the patient. A user marks a proximal point and a distal point on a vessel of interest on the medical images. The vessel of interest is tracked and corrections are made to the tracking using a tracking algorithm. A composite image is generated that encodes time to peak contrast agent intensity at each point of the vessel of interest as well as the intensity of the contrast at that time. A graph of time to peak contrast agent intensity versus distance from a proximal point of the vessel of interest is calculated and displayed to a user.

Methods for combining anatomical data and physiological data on a single image are provided. The methods include obtaining an image, for example, a raw near-infrared (NIR) image or a visible image, of a sample. The image of the sample includes anatomical structure of the sample. A physiologic map of blood flow and perfusion of the sample is obtained. The anatomical structure of the image and the physiologic map of the sample are combined into a single image of the sample. The single image of the sample displays anatomy and physiology of the sample in the single image in real time. Related systems and computer program products are also provided.

Disclosed are techniques for automated analysis and assessments of contrast medium absorption phases in contrast medium based medical images. A target image set includes a plurality of medical images acquired to image a plurality of contrast medium absorption phases. For the images of the target image set, a set of contrast medium absorption phase probabilities are determined corresponding to likelihoods that a given image corresponds to a given contrast medium absorption phase. The determined sets of contrast medium absorption phases are compared against a reference set of contrast medium absorption phases to determine differences to determine a set of matching scores indicative of how closely the contrast medium absorption phases of the target image set align with the plurality of contrast medium absorption phases as compared to the reference set of contrast medium absorption phases.

An image processing apparatus according to an embodiment includes processing circuitry. The processing circuitry performs a fluid analysis using image data including a blood vessel to calculate an index value relating to blood flow in the blood vessel. The processing circuitry specifies a plurality of target sites in the blood vessel in the image data. The processing circuitry changes analysis conditions for the fluid analysis corresponding to the positions of the target sites. The processing circuitry causes a display to display, in a comparative manner, the index value relating to blood flow calculated under the changed analysis conditions for the target sites.

Systems and methods are disclosed for assessing the severity of plaque and/or stenotic lesions using contrast distribution predictions and measurements. One method includes: receiving patient-specific images of a patient's vasculature and a measured distribution of a contrast agent delivered through the patient's vasculature; associating the measured distribution of the contrast agent with a patient-specific anatomic model of the patient's vasculature; defining physiological and boundary conditions of a blood flow model of the patient's blood flow and pressure; simulating the distribution of the contrast agent through the patient-specific anatomic model; comparing the measured distribution of the contrast agent and the simulated distribution of the contrast agent through the patient-specific anatomic model to determine whether a similarity condition is satisfied; and updating the defined physiological and boundary conditions and re-simulating distribution of the contrast agent through the one or more points of the patient-specific anatomic model until the similarity condition is satisfied.

A physiological information detection system includes an image-capturing unit, an image-processing unit and a data-transmitting unit. The image-capturing unit is provided to capture a series of images of head portions and connects with the image-capturing unit to receive the captured images. The image-processing unit is operated to process the captured images and to trace a head portion area and a neck portion area thereof in the processed images. The image-processing unit is further operated to process the captured images to retrieve temperature data from the selected head portion area and the selected neck portion area. The image-processing unit is further operated to convert variations of the temperature data into estimated pulse data. The data-transmitting unit connects with the image-processing unit to transmit the estimated pulse data to a predetermined device.

A processor analyzes an image obtained by imaging a subject including a tubular structure in which a fluid flows, thereby deriving fluid information regarding flow of the fluid at each of pixel positions in the tubular structure. The processor sets a sampling interval for displaying the fluid information in accordance with a size of a region intersecting a center line of the tubular structure included in the image. The processor samples the fluid information at the set sampling interval and causes a display to display the fluid information.

A device of an embodiment includes: an optical mechanism that guides light from a light source to skin tissue to scan the skin tissue; a control computation unit that controls driving of the optical mechanism, acquires tomographic images of the skin by processing optical interference signals from the optical system, and calculates a network of blood vessels on the basis of the tomographic images; and a display device that displays the network of blood vessels. The control computation unit computes autocorrelation values at coordinates in epidermis corresponding regions of the tomographic images, excludes combinations of tomographic images with the computed autocorrelation values corresponding to predetermined low autocorrelation, computes autocorrelation values at coordinates in dermis corresponding regions, determines coordinates at which the autocorrelation values in the dermis corresponding regions are within a predetermined low correlation range to be blood vessels or blood vessel candidates, and calculates a network of blood vessels.

Devices and methods are provided for analyzing images from a magnetic resonance (MR) system. The device includes at least one hardware processor coupled with a storage system accessible to the at least one hardware processor. The device further includes a display in communication with the at least one hardware processor. The device receives a plurality of non-contrast MR images in a region of interest (ROI). The device obtains blood flow signals from the plurality of non-contrast MR images. The device identifies an abnormal segment by analyzing the blood flow signals. The device displays the non-contrast MR images by a highlighted segment in at least one of the non-contrast MR images to indicate the abnormal segment on the display.