Systems and Methods for Detecting Complex Networks in MRI Image Data

Abstract

Systems and methods for detecting complex networks in MRI image data in accordance with embodiments of the invention are illustrated. One embodiment includes an image processing system, including a processor, a display device connected to the processor, an image capture device connected to the processor, and a memory connected to the processor, the memory containing an image processing application, wherein the image processing application directs the processor to obtain a time-series sequence of image data from the image capture device, identify complex networks within the time-series sequence of image data, and provide the identified complex networks using the display device.

What is claimed is: 
     
         1 . A method for identifying complex networks in time-series sequence of image data, comprising:
 obtaining time-series sequence of image data from an image capture device;   realigning the time-series sequence of image data to a fixed orientation using an image processing server system;   unwarping the time-series sequence of image data using the image processing server system;   despiking the time-series sequence of image data using the image processing server system;   detecting objects within the time-series sequence of image data using the image processing server system;   measuring connectivities between detected objects within the time-series sequence of image data using the image processing server system;   matching the measured connectivities between detected objects to at least one complex network stored in a database of complex networks using the processor; and   displaying the at least one matched complex network using a display device.