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.

Provided herein are methods for in-vivo assessment of intraventricular flow shear stress, risk of hemolysis, also the location and extent of blood flow stasis regions and inside a cardiac chamber or blood vessel. Also provided herein are systems for performing such methods. Also provided herein are methods for assessing hemolysis and/or thrombosis risk in patients implanted with an LVAD. LVAD positioning and/or speed may be adjusted based on the results obtained by using methods described herein, and the risk for hemolysis and/or thrombosis can be minimized.

Exemplary quantitative susceptibility mapping methods, systems and computer-accessible medium can be provided to generate images of tissue magnetism property from complex magnetic resonance imaging data using the Bayesian inference approach, which minimizes a cost function consisting of a data fidelity term and two regularization terms. The data fidelity term is constructed directly from the complex magnetic resonance imaging data. The first prior is constructed from matching structures or information content in known morphology. The second prior is constructed from a region having an approximately homogenous and known susceptibility value and a characteristic feature on anatomic images. The quantitative susceptibility map can be determined by minimizing the cost function. Thus, according to the exemplary embodiment, system, method and computer-accessible medium can be provided for determining magnetic susceptibility information associated with at least one structure.

A computerized information processing method for evaluating blood vessels is provided. The method includes acquiring a series of sequences of measurements, each at different time points in at least one cardiac cycle and at a different point along a blood vessel segment of a subject, generating corresponding profiles, calculating a transfer function for a subsegment between two selected points along a blood flow direction, and based thereon determining the physiological property of the subsegment. The measurements can contain information of blood velocity or blood pressure. A processing device and system implementing the information processing method are also provided. This approach can be used to evaluate arteries or veins and can be applied in screening, diagnosis, or prognosis of a variety of vascular diseases. For example, when combined with MRI scan, this approach can be used for non-invasively diagnosing pulmonary hypertension (PH) and chronic obstructive pulmonary disease (COPD), etc.

Systems and methods for aiding users in viewing, assessing and analyzing images, especially images of lumens and medical devices contained within the lumens. Systems and methods for interacting with images of lumens and medical devices, for example through a graphical user interface.

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.

Exemplary quantitative susceptibility mapping methods, systems and computer-accessible medium can be provided to generate images of tissue magnetism property from complex magnetic resonance imaging data using the Bayesian inference approach, which minimizes a cost function consisting of a data fidelity term and two regularization terms. The data fidelity term is constructed directly from the complex magnetic resonance imaging data. The first prior is constructed from matching structures or information content in known morphology. The second prior is constructed from a region having an approximately homogenous and known susceptibility value and a characteristic feature on anatomic images. The quantitative susceptibility map can be determined by minimizing the cost function. Thus, according to the exemplary embodiment, system, method and computer-accessible medium can be provided for determining magnetic susceptibility information associated with at least one structure.

There is provided a method for determining a regional rupture potential (RRP) indicative of the state of local weakening of a blood vessel based on parameters that correlate with the expansion and local weakening of the vessel. The method comprises: receiving a plurality of images of the blood vessel into a multiphase stack. A geometrical model of the lumen and the outer wall of the vessel are generated and smoothed to obtain a volume mesh and surface mesh respectively. An ILT thickness distribution, a local deformation at each phase and a wall strain distribution indicative of a maximal principal strain at the outer wall are determined. Blood flow values in the lumen are obtained and a wall shear stress distribution indicative of wall shear disturbances in the lumen is calculated. The RRP is determined based on the ILT thickness distribution, the wall shear stress, and the wall strain.

Methods, systems, and apparatus, including computer programs encoded on computer storage media, for performing EEG source localization. One of the methods includes obtaining brain data comprising: EEG data comprising respective channel data corresponding to each of a plurality of electrodes of an EEG sensor, and fMRI data comprising respective voxel data corresponding to each of a plurality of voxels; identifying, in a three-dimensional coordinate system, a respective location for each electrode; generating, using the respective identified locations of each electrode, data representing a location in the three-dimensional coordinate system of each voxel; determining, for each electrode, a region of interest in the three-dimensional coordinate system; and identifying, for each electrode, one or more corresponding parcellations in the brain of the subject, wherein each parcellation that corresponds to an electrode at least partially overlaps with the region of interest of the electrode.

Assembly of harness and sensor substrate plates for monitoring vital signals of a patient is provided. More specifically, the present invention provides a harness, a sensor substrate plate, and related devices for non-invasively monitoring vital signals of a patient. The sensor substrate plate provides removable attachment to the skin of a patient to measure vital signals of the patient. The sensor substrate plate comprises an elongated main body comprising an upper surface and an under surface. The upper surface is configured to removably contact the skin surface of the patient. Further, a plurality of slots on the upper surface of the main body is mechanically and electrically configured to hold sensors or electrodes for monitoring biometric parameters of the patient. The upper surface also includes a first through hole mechanically and electrically configured to hold an electrical connector; and a first end and a second end of the main body.