Patent US10365340

Monitoring dynamics of patient brain state during neurosurgical procedures
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US10365340

1. A computer-implemented method of monitoring dynamics of patient brain state during neurosurgical procedures, the method comprising: (3) (4)

receiving a plurality of brain response images acquired using a functional MRI (fMRI) scan of a patient over a plurality of time points;

selecting a plurality of image features from the brain response images;

using one or more recurrent neural network (RNN) models to directly estimate one or more brain state measurements at each time point based on the image features; and

presenting the one or more brain state measurements on a display.

2. The method of claim 1, wherein the plurality of image features are selected by applying one or more 3D convolutional networks to the plurality of brain response images. (0)

3. The method of claim 1, wherein the plurality of image features are selected from the brain response images using an informativeness-based voxel selection method. (1) (0)

7. The method of claim 1, wherein the one or more RNN models comprise (a) a first layer long short-term memory (LSTM) model receiving the plurality of image features and generating internal output data and (b) a second layer LSTM model receiving the internal output data and estimating the one or more brain state measurements. (1) (0)

9. A computer-implemented method of monitoring dynamics of patient brain state during neurosurgical procedures, the method comprising: (3) (4)

receiving a plurality of brain response images collected using a functional MRI scan of a patient over a plurality of time points;

selecting a plurality of image features from the brain response images;

estimating one or more brain state measurements at each time point by (a) applying a decoding model that convolves the image features with a canonical hemodynamic response function (HRF) to yield combined features and (b) estimating the brain state measurements as a linear combination of the combined features; and

presenting the one or more brain state measurements on a display.

10. The method of claim 9, wherein the plurality of image features are selected by applying one or more 3D convolutional networks to the plurality of brain response images. (0)

11. The method of claim 9, wherein the plurality of image features are selected from the brain response images using an informativeness-based voxel selection method. (1) (0)

15. The method of claim 9, wherein the brain state measurements are estimated using one or more RNN models comprising (a) a first layer LSTM model receiving the plurality of image features and generating output data and (b) a second layer LSTM model receiving the output data and estimating the one or more brain state measurements. (1) (0)

17. A system for monitoring dynamics of patient brain state during neurosurgical procedures, the system comprising: (2) (3)

a functional MRI scanner configured to acquire a plurality of brain response images over a plurality of time points;

one or more processors configured to (a) select a plurality of image features from the brain response images and (b) apply one or more machine learning models to estimate one or more brain state measurements at each time point based on the image features;

a display configured to present the one or more brain state measurements.

18. The system of claim 17, wherein the one or more brain state measurements are estimated by: (0) (1)

19. The system of claim 17, wherein the one or more brain state measurements are estimated by: (0) (1)

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Patent US10365340

Monitoring dynamics of patient brain state during neurosurgical procedures

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