Systems and methods for detecting complex networks in MRI image data
AssigneeThe Board of Trustees of the Leland Stanford Junior University
InventorLeanne Maree Williams
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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.
Claims20
A method for predicting and assigning effective treatment protocols, comprising:
- obtaining a time-series sequence of image data of a patient's brain using a medical imaging device;
- generating at least one neurological model, where the at least one neural model characterizes at least one neural circuit in the patient's brain;
- assigning at least one biotype to the patient based on the neurological model;
- generating a treatment database, where the treatment database associates biotypes with treatment protocols;
- retrieving a treatment protocol from the treatment database based on the at least one assigned biotype.
A system for predicting and assigning effective treatment protocols, comprising:
- a medical imaging device;
- a processor;
- and
- a memory comprising an image processing application, where the image processing application directs the processor to:
- obtain a time-series sequence of image data of a patient's brain using the medical imaging device;
- generate at least one neurological model, where the at least one neurological model characterizes at least one neural circuit in the patient's brain;
- assign at least one biotype to the patient based on the neurological model;
- generate a treatment database, where the treatment database associates biotypes with treatment protocols;
- retrieve a treatment protocol from the treatment database based on the at least one assigned biotype.
Dependencies are inferred from the claim text.