Abstract:
A method of displaying electrophysiology information includes obtaining a three- dimensional medical image of an anatomical region, registering a localization system to the model; localizing an electrophysiology catheter within the anatomical region; displaying a representation of the localization of the electrophysiology catheter on the model; and displaying image slices of the model. The image slices are selected based upon the localization of the electrophysiology catheter. For example, the image slices can pass through a user-selected localization element carried by the electrophysiology catheter. Rigid and/or non-rigid transforms can be used to register the localization system to the model. Electrophysiology data collected by the catheter can be displayed on the model and/or the image slices thereof. The three-dimensional medical image and/or the electrophysiology data can also be time-varying. In embodiments, scalar maps can also be displayed on the model.
Abstract:
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: 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. An asynchronous command and imaging pipeline allows remote image processing and analysis in a timely and secure manner even with complicated or large medical imaging data sets and metadata.
Abstract:
The invention provides various methods for imaging a subject's cardiovascular system. The imaging method may be used to provide a diagnosis or prognosis of various cardiovascular diseases in the subject, without contrast agents or radioactive tracers, and further generating a Gaussian Mixture Model to obtain a reference value of a normal myocardium.
Abstract:
A method (94) for aligning a cardiac model can include receiving (95) an initial position signal from three position sensors (17, 39, 40) disposed along a distal end of a coronary sinus catheter (13) positioned in a coronary sinus (41) of a heart (10). The method (94) can include receiving (96) a subsequent position signal from the three position sensors (17, 39, 40). The method (94) can include determining (97) a positional change vector based on a change in position between an initial position associated with the initial position signal and a subsequent position associated with the subsequent position signal. The method (94) can include shifting (98) a point of interest associated with a cardiac model, using the positional change vector. The method (94) can include dynamically aligning (100) the cardiac model based on an updated position of the three position sensors (17, 39, 40).
Abstract:
A method for producing a magnetic resonance image of a subject tissue to identify a lesion or scar tissue thereon in provided. The method includes acquiring an initial three-dimensional image of the subject tissue by a computer-implemented MRI system; identifying the surface of the subject tissue by the computer-implemented MRI system; selecting one or more points on the surface of the subject tissue by the computer-implemented MRI system; and acquiring by the computer-implemented MRI system, a first two-dimensional image for at least one of the selected points that is substantially tangential to the surface of the selected point.
Abstract:
A method of determining physiological information for an internal body surface using an open catheter comprising multiple sensors. Sensor potentials are obtained and used to determine catheter potentials within the catheter, and the physiological information for the internal body surface is determined using at least some of the catheter potentials.
Abstract:
In one example, a method includes delivering, via one or more stimulation generators of a medical device implanted in a patient, electrical stimulation to the patient. In this example, the method also includes disturbing, by one or more components of the medical device, an image of the patient generated by a magnetic resonance image (MRI) scanner.
Abstract:
A method for rapid computation of three-dimensional displacement and Lagrange strain in a high resolution filed of phase data obtained with Displacement Encoding with Stimulated Echoes (DENSE) in magnetic resonance images of the myocardium. The method includes semi-automated segmentation of a region of a heart, phase unwrapping the images in three dimensions, and a custom radial point interpolation method (RPIM). The RPIM is a meshfree numerical analysis method that uses radial basis functions and polynomial functions to calculate the Lagrange strain of DENSE displacement data acquired from the myocardium.
Abstract:
The present disclosure relates to a method for analyzing tissue specimens. In one implementation the method involves obtaining a tissue sample and exposing the sample to one or more fluorophores as contrast agents to enhance contrast of subcellular compartments of the tissue sample. The tissue sample is illuminated by an ultraviolet (UV) light having a wavelength between about 200 nm to about 400 nm, with the wavelength being selected to result in penetration to only a specified depth below a surface of the tissue sample. Inter-image operations between images acquired under different imaging parameters allow for improvement of the image quality via removal of unwanted image components. A microscope may be used to image the tissue sample and provide the image to an image acquisition system that makes use of a camera. The image acquisition system may create a corresponding image that is transmitted to a display system for processing and display.
Abstract:
Embodiments include a system for determining cardiovascular information for a patient with coronary artery disease. 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 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, for a given level of physical activity, a physics-based model of blood flow through the patient's heart simulated during a selected level of physical activity; determine and normalize one or more values of at least one blood flow characteristic within the patient's heart during the simulated level of physical activity; and compare the one or more normalized values of the at least one blood flow characteristic to a threshold to determine whether the level of physical activity exceeds an acceptable level of risk.