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.

A medical image processing apparatus of an embodiment includes processing circuitry. The processing circuitry is configured to acquire time-series medical images including blood vessels of an examination subject, the time-series medical images being fluoroscopically captured in at least one direction at a plurality of points in time, generate a blood vessel shape model including time-series variation information about the blood vessels in an analysis region of the blood vessels on the basis of the acquired time-series medical images, and perform fluid analysis of blood flowing through the blood vessels on the basis of the generated blood vessel shape model.

The present invention concerns a Medical system tor mapping of action potential data comprising an elongated medical mapping device (1) suitable for intravascular insertion having an electrode assembly (80) located at a distal portion (3) of the mapping device (1), a data processing and control unit (15) for processing data received from the mapping device (1), the data processing and control unit including a model generator for visualizing a 3-dimensional heart model based on one of electrical navigation system, MRI or CT scan data of a heart, a data output unit (16) for displaying both the 3-dimensional heart model and the processed data of the mapping device (1) simultaneously in a single visualization, wherein the model generator is configured to structure 3D scan data of the heart into 6 directions (a, b, c, d, e or f) of a cube, each direction is associated with a separate Cartesian coordinate system with X.sup.(a, b, c, d, e or f), Y.sup.(a, b, c, d, e or f), Z.sup.(a, b, c, d, e or f) coordinates, wherein for assigning each 3D scan data point to one of the 6 directions (a, b, c, d, e or f) the following 6 true or false tests are applied: Formula (I), wherein max indicates the maximum leg length of the respective X, Y or Z axis and wherein mes indicates the measured value of a scanned data point, and wherein the data point is assigned to the direction (a, b, c, d, e or f) for which the test outcome is true.

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.

Disclosed is a method for electro-anatomical mapping. In accordance with the method, surface mesh data is defined to represent the geometry of a myocardial surface. The mesh data comprises mesh points arranged to defined triangles on the myocardial surface and the mesh data is segmented into boundary areas. Point cloud data comprising a plurality of point cloud data points is received and each point cloud data point is assigned to a corresponding mesh point within a boundary area. The point cloud data point and its corresponding mesh point defines a mapping. For each mapping, a difference in a spatial location is determined between the points comprising the mapping. A warping function is selectively applied to spatially relocate the mesh point within each mapping based on the location of the corresponding point cloud data point within the mapping.

There is provided a microparticle composition suitable for molecular imaging, the composition comprising microparticles, wherein the microparticles comprise: a core microparticle structure having a central area and a shell, and wherein the core microparticle structure comprises (i) a phosphatidylcholine lipid: (ii) a phosphatidylethanolamine lipid comprising at least one maleimide moiety; and (iii) an alkoxylated fatty acid.

An evaluation method and system for the corrosion degree of an absorbable stent. The method includes the following steps: obtaining the total number S.sub.0 of stent bars of the absorbable stent at the time zero of implantation (S10); separately obtaining n frames of optical coherence tomography (OCT) images of the absorbable stent at the time x of implantation, wherein x is greater than 0, and n is a natural number greater than 1 (S20); determining, according to the n frames of OCT images, the total number Ni of the stent bars corresponding to each frame of OCT image, wherein i is a natural number greater than or equal to 1 and less than or equal to n; and calculating the total number S.sub.x of the stent bars corresponding to the n frames of OCT images at the time x of implantation (I) (S30); determining a corrosion degree Cij of a jth stent bar in an ith frame of OCT image at the time x of implantation, wherein j is a natural number greater than or equal to 1 and less than or equal to Ni (S40); and calculating an overall corrosion degree Cx of the absorbable stent at the time x of implantation according to the following formula: (II) (S50). The evaluation method can be applied to clinical treatment.

Systems and methods are disclosed for to determining a blood supply and blood demand. One method includes receiving a patient-specific model of vessel geometry of at least a portion of a coronary artery, wherein the model is based on patient-specific image data of at least a portion of a patient's heart having myocardium; determining a coronary blood supply based on the patient-specific model; determining at least a portion of the myocardium corresponding to the coronary artery; determining a myocardial blood demand based on either a mass or a volume of the portion of the myocardium, or based on perfusion imaging of the portion of the myocardium; and determining a relationship between the coronary blood supply and the myocardial blood demand.

A medical headgear includes an ultrasound transducer and a headgear. The ultrasound transducer is configured to generate a low intensity ultrasound. The headgear supports the ultrasound transducer. The headgear includes a rear portion case including a slide guide configured to support an occipital and a support pad configured to support a crown. The headgear further includes a front portion case connected to the rear portion case to be slidably movable in one direction. The front portion case includes two temporal support pads configured to support both temporal portions.

Systems and methods of valve quantification are disclosed. In one embodiment, a method of mitral valve quantification is provided. The method includes generating a 3-D heart model, defining a 3-D mitral valve annulus, fitting a plane through the 3-D mitral valve annulus, measuring the distance between at least two papillary muscle heads, defining an average diameter of at least one cross section around the micro valve annulus, and determining a size of an implant to be implanted.