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 patients 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 system and for determining the presence or absence of myocardial ischemia in a subject, based upon analysis of medical images of at least one region of the heart of a subject of interest, the plurality of medical images being acquired in a consecutive manner by a medical imaging modality and being a plurality of myocardial layers in a direction which is generally perpendicular to the wall of the left ventricular myocardium.

An analysis device according to an embodiment includes processing circuitry. The processing circuitry extracts, from medical image data, the shape of a blood vessel of a subject and the shape of a plaque formed in the blood vessel. Then, while changing a first-type timing in sequence, the processing circuitry calculates a mechanical index, which is related to the plaque at the first-type timing, based on the shape of the blood vessel and the shape of the plaque at the first-type timing. Subsequently, based on the mechanical index at the first-type timing, the processing circuitry predicts the shape of the plaque at a second-type timing that is the next timing to the first-type timing. Then, the processing circuitry displays, in a display unit, the predicted shape of the plaque at the time second-type at which the plaque reaches a specific condition.

Systems and methods for image reconstruction are provided. The methods may include obtaining a first image sequence of a subject and obtaining an initial input function that relates to a concentration of an agent in blood vessels of the subject with respect to time. The first image sequence may include one or more first images generated based on a first portion of scan data of the subject. The methods may further include, for each of a plurality of pixels in the one or more first images, determining at least one correction parameter associated with the pixel and determining, based on the initial input function and the at least one correction parameter, a target input function The methods may further include generating one or more target image sequences related to one or more dynamic parameters based at least in part on a plurality of target input functions.

Multiple streams of raw blood coagulation function data may be synthesized into a single display or instrument, showing a synthetic model of a blood clot, which is generated according to algorithms and rendered dynamically in real time by a graphics processor. Dynamic alterations in the states or attributes of specified parts of a displayed blood clot may be used. The dynamic alterations involve, but are not limited to, the shape of parts, changes in the volume of parts, in a three-dimensional representation, or the area of parts, in a two-dimensional representation, number and movement of parts, and changes in the color of parts. The blood clot may be looked at from all angles according to user input. The dynamically altered parts of the visual clot model may include background, drug indicator, fibrin mesh indicator, plasmatic coagulation factor indicator, blood drops and pool of blood indicator, and platelet indicator.

The disclosure relates to a method and apparatus for selecting (i) an imaging angle with minimized foreshortening and/or overlap of a target region from one of a plurality of an existing angiographic images and/or (ii) selecting an imaging angle for new images so that foreshortening and/or overlap are minimized. In some embodiments, a viewing angle cost function is determined that defines one or more optimal viewing angles at least with respect to minimizing foreshortening of the target region. Using the cost function, an image may be selected from among the plurality of images, which potentially does not match the optimal imaging angle due to the optimal imaging angle having a high cost as a result of overlapping vascular features. The selected image may have an imaging angle that corresponds to a lower cost due to less overlap compared to the optimal imaging angle.

An image processing apparatus includes: an acquisition unit that acquires first angiographic image data of a subject eye, and second angiographic image data of the subject eye generated after the first angiographic image data; a first generation unit that calculates a first blood vessel area density from the first angiographic image data to generate first blood vessel area density map data based on the first blood vessel area density, and that calculates a second blood vessel area density from the second angiographic image data to generate second blood vessel area density map data based on the second blood vessel area density; a second generation unit that generates comparison image data for comparing the first blood vessel area density map data to the second blood vessel area density map data; and an output unit that outputs the comparison image data.

A medical image processing device includes circuitry configured to: analyze a blood flow flowing in an observation object based on a medical observation image obtained by capturing an image of the observation object; and generate a difference result between a simulation result of a blood flow flowing in a 3D model acquired in advance for the observation object and an analysis result of a blood flow flowing in the observation object.

An MRI image processing and analysis system may identify instances of structure in MRI flow data, e.g., coherency, derive contours and/or clinical markers based on the identified structures. The system may be remotely located from one or more MRI acquisition systems, and perform: error detection and/or correction on MRI data sets (e.g., phase error correction, phase aliasing, signal unwrapping, and/or on other artifacts); segmentation; visualization of flow (e.g., velocity, arterial versus venous flow, shunts) superimposed on anatomical structure, quantification; verification; and/or generation of patient specific 4-D flow protocols. A protected health information (PHI) service is provided which de-identifies medical study data and allows medical providers to control PHI data, and uploads the de-identified data to an analytics service provider (ASP) system. A web application is provided which merges the PHI data with the de-identified data while keeping control of the PHI data with the medical provider.

Systems and methods for determining modified fractional flow reserve values of vascular lesions are provided. Patient physiologic data, including coronary vascular information, is measured. According to the physiologic data, a coronary vascular model is generated. Lesions of interest within the coronary vascular system of the patient are identified for modified fractional flow reserve value determination. The coronary vascular model is modified to generate modified blood flow information for determining the modified fractional flow reserve value.