METHOD AND SYSTEM FOR HIGH THROUGHPUT EVALUATION OF FUNCTIONAL CARDIAC ELECTROPHYSIOLOGY
An organ evaluation device, system, or method is configured to receive electrophysiological data from a patient or model organism and integrates the data in a computational backend environment with anatomical data input from an external source, spanning a plurality of file formats, where the input parameters are combined to visualize and output current density and/or current flow activity having ampere-based units displayed in the spatial context of heart or other organ anatomy.
1 . A system for evaluating an organ of an individual in need thereof, comprising:
an organ electromagnetic sensor configured to sense a magnetic field associated with said organ, and to couple with a computing device, wherein said computing device is configured to:
receive a magnetic field data associated with said organ from said organ electromagnetic sensor;
translate said magnetic field data associated with said organ to at least one electrical current vector associated with said organ; and
combine graphically said at least one electrical current vector with an image of said organ to generate an electrical current density map of said organ for use in evaluating said organ.
2 . The system of claim 1 , wherein said evaluation of said organ is non-invasive.
3 . The system of claim 1 , wherein said computing device is further configured to display said electrical current density map together with said at least one electrical current vector, wherein said at least one electrical current vector is overlaid on said current density map.
4 . The system of claim 1 , wherein said organ is a heart.
5 . The system of claim 4 , wherein said computing device is further configured to identify and define an arrhythmia.
6 . The system of claim 5 , wherein said computing device is further configured to identify an arrhythmogenic focus in said heart.
7 . The system of claim 1 , wherein said current map comprises one or more colored areas each corresponding to a current density associated with each of said colored areas.
8 . The system of claim 1 , wherein said organ is a brain.
9 . The system of claim 8 , wherein said computing device is further configured to identify an ischemic focus in said brain.
10 . The system of claim 1 , wherein said computing device is further configured to receive said image of said organ from an imaging system.
11 . The system of claim 10 , wherein said imaging system comprises an ultrasound system or a fluoroscope.
12 . The system of claim 10 , wherein said imaging system comprises a computer tomography system or magnetic resonance system.
13 . The system of claim 1 , wherein said image is a three dimensional image.
14 . The system of claim 13 , wherein said three dimensional image is generated from two or more two dimensional images.
15 . The system of claim 1 , wherein said computing device is further configured to receive demographic data associated with said individual.
16 . The system of claim 15 , wherein said demographic data comprises one or more of age, race, gender, and medical history of said individual.
17 . The system of claim 16 , wherein said received demographic data associated with said individual is used to identify a three dimensional image of an organ of a different individual, wherein the demographic data associated with said individual and demographic data associated with said different individual are essentially identical in one or more of said age, said race, said gender, and said medical history.
18 . The system of claim 16 , wherein said image comprises said image of said organ of said different individual.
19 . The system of claim 1 , wherein said computing device is further configured to receive biometric data associated with said individual.
20 . The system of claim 19 , wherein said biometric data comprises one or more of heart rate, blood pressure, and temperature of said individual.
21 . The system of claim 20 , wherein said computing device is further configured to generate an evaluation of said organ comprising said electrical current vector map and said biometric data.