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.

Methods and systems for characterizing fluids from a patient are disclosed. The method includes receiving a time series of images of a conduit receiving fluids from the patient, identifying a conduit image region in each of the images, classifying a flow type through the conduit based on an evaluation of the conduit image region in the time series of images, and estimating at least one of a volume of fluids and a quantity of a blood component that has passed through the conduit within a predetermined period of time, based at least in part on the classification of the flow type.

A method for vascular assessment is disclosed. The method, in some embodiments, comprises receiving a plurality of 2-D angiographic images of a portion of a vasculature of a subject, and processing the images to produce a stenotic model over the vasculature, the stenotic model having measurements of the vasculature at one or more locations along vessels of the vasculature. The method, in some embodiments, further comprises obtaining a flow characteristic of the stenotic model, and calculating an index indicative of vascular function, based, at least in part, on the flow characteristic in the stenotic model.

According to one embodiment, a medical image processing apparatus includes first specifier, second specifier, determiner and display controller. First specifier collates an ischemic region calculated from a blood vessel visualized into a three-dimensional image in a plurality of phases with a dominating region of the blood vessel, and specifies a culprit vessel in the ischemic region. Second specifier specifies a culprit stenosis in the culprit vessel based on a pressure index calculated from the blood vessel. Determiner determines a connection position to connect a bypass vessel that makes a detour around the culprit stenosis. Display controller displays the determined connection position on a display.

In a biological simulation apparatus, an operation unit represents a structure domain where tissues of a biological organ exist by a structure mesh model based on a Lagrange description and a fluid domain where fluid inside the biological organ exists by an ALE fluid mesh model based on an ALE description method. In a fluid-structure interaction simulation, the operation unit deforms the structure mesh model, and then deforms the ALE fluid mesh model so as to form no gap on a first interface between a domain where a site other than a certain site of the biological organ in the structure domain exists and the fluid domain or no overlap with the structure domain. The operation unit captures a position of a second interface between a domain where the certain site exists and the fluid domain by using the ALE fluid mesh model as a reference.

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.

The invention provides for a medical imaging system (100, 300) comprising a processor (106) for controlling the medical imaging system. Execution of machine executable instructions (112) causes the processor to receive (200) a static angiographic image (114) of a region of interest (322), receive (202) a time series of angiographic images (116, 116′) of the region of interest, construct (204) an image mask (118) using the static angiographic image, determine (206) a time dependent signal (120) for each voxel within the image mask using the time series of angiographic images, construct (208) a composite angiographic image by: assigning (210) a fill time (126) to each voxel within the image mask using an extremum (124) of the time dependent signal if the extremum deviates from an average of the time dependent signal more than a predetermined threshold, and identifying (212) voxels within the image mask as being unfilled voxels.

Provided are a method and apparatus for adjusting blood flow velocity in maximum hyperemia state based on index for microcirculatory resistance. The method comprises: acquiring an index for microcirculatory resistance iFMR during a diastolic phase according to a blood flow velocity v, an aortic pressure waveform, and an physiological parameter (S100); making an adjustment parameter r equal to 1 if the index for microcirculatory resistance iFMR during the diastolic phase is less than K; making the adjustment parameter r satisfy a formula r=1−(iFMR−K)/100 if the index for microcirculatory resistance iFMR during the diastolic phase is greater than or equal to K, wherein K is a positive number less than 100 (S200); acquiring a corrected blood flow velocity in a maximum hyperemia state according to a product of the adjustment parameter and a blood flow velocity in the maximum hyperemia state (S300).

Disclosed is a super-resolution flow field reconstruction method, including: superimposing a plurality of frames of contrast-enhanced ultrasound images that are in one time interval and each of which includes images of a plurality of microbubbles, to obtain a superimposed image including a plurality of microbubble trajectories of the plurality of microbubbles; performing straight line fitting on the plurality of microbubble trajectories, to obtain a plurality of microbubble trajectory straight lines of the plurality of microbubbles, respectively; determining directions and velocities of instantaneous movements of the plurality of microbubbles in the time interval; and reconstructing a super-resolution flow field. This method avoids localization and tracking process of the plurality of moving microbubbles, overcomes the limitations of current ultrasound super-resolution imaging strategies under the impact of motion artifacts and low signal-to-noise-ratio, and improving precision and efficiency of super-resolution flow field reconstruction.

The invention relates to systems and methods to assist physicians in decision making for stroke patients. In particular the systems and methods can be used to assist physicians to decide on whether a patient with an acute ischemic stroke has a large vessel occlusion (LVO) and should be transferred from a community hospital to a larger hospital to undergo an endovascular thrombectomy procedure.