Brain function analysis apparatus and method
View Patent ↗There is provided a method including, acquiring brain function data and diffusion tensor data, calculating a connection degree between voxels adjacent to each other based on the diffusion tensor data, constituting a data evaluation value based on the brain function data and the connection degree between the adjacent voxels, subjecting the data evaluation value to nonparametric regression analysis, and forming and displaying images based on results of the analysis.
1. A brain function data analysis method, comprising:
computing, for each voxel, a connection degree vector indicating a degree of connectivity with its adjacent voxels based on diffusion tensor data capable of specifying a degree of diffusion of protons within the brain acquired on a voxel-by-voxel basis; and
analyzing brain function data capable of specifying activated brain regions acquired on the voxel-by-voxel basis, based on the connection degree vector.
2. The brain function data analysis method according to claim 1 , wherein analyzing brain function data comprises calculating either of a minimum value and a maximum value of an evaluation value in which an evaluation value of the connection degree vector between the adjacent voxels is incorporated into an evaluation value for every voxel of the brain function data by a regression analysis.
3. The brain function data analysis method according to claim 1 , wherein analyzing brain function data comprises adjusting a reference value of a test of the brain function data based on the connection degree vector.
4. The brain function data analysis method according to claim 1 , wherein analyzing brain function data comprises adjusting a reference value of a classification of the brain function data based on the connection degree vector.
5. The brain function data analysis method according to claim 1 , wherein analyzing brain function data comprises adjusting the brain function data based on predetermined anatomical data and the connection degree vector.
6. The brain function data analysis method according to claim 1 , wherein analyzing brain function data comprises smoothing the brain function data based on the connection degree vector.
7. The brain function data analysis method according to claim 1 , wherein analyzing brain function data comprises clustering the brain function data based on the connection degree vector.
8. The brain function data analysis method according to claim 1 , further comprising pre-processing to transmit a value of the brain function data of an activated region voxel of specified activated brain regions which is located from the brain function data, to a value of the brain function data of another voxel based on the diffusion tensor data.
9. An article of manufacture including a computer-readable medium having instructions stored thereon that, if executed by a computing device, cause the computing device to perform operations comprising:
acquiring, on a voxel-by-voxel basis, brain function data capable of locating activated brain regions;
acquiring, on a voxel-by-voxel basis, diffusion tensor data capable of specifying a degree of diffusion of protons within the brain;
computing, for each voxel, a connection degree vector indicating a degree of connectivity with its adjacent voxels based on the diffusion tensor data; and
analyzing the brain function data based on the connection degree vector.
10. The article of manufacture of claim 9 , wherein analyzing brain function data comprises calculating either of a minimum value and a maximum value of an evaluation value in which an evaluation value of the connection degree vector between the adjacent voxels is incorporated into an evaluation value for every voxel of the brain function data.
11. The article of manufacture of claim 9 , wherein analyzing brain function data comprises testing the brain function data, and a reference value of the test is adjusted based on the connection degree vector.
12. The article of manufacture of claim 9 , wherein analyzing brain function data comprises classifying the brain function data, and a reference value of the classification is adjusted based on the connection degree vector.
13. The article of manufacture of claim 9 , wherein analyzing brain function data comprises adjusting the brain function data based on predetermined anatomical data model and the connection degree vector.
14. The article of manufacture of claim 9 , wherein analyzing brain function data comprises smoothing the brain function data based on the connection degree vector.
15. The article of manufacture of claim 9 , wherein analyzing brain function data comprises clustering the brain function data based on the connection degree vector.
16. The article of manufacture of claim 9 , further comprising pre-processing to transmit a value of the brain function data of an activated region voxel which is located from the brain function data to a value of the brain function data of another voxel based on the diffusion tensor data.
17. A brain function analysis apparatus comprising:
brain function data acquisition means for acquiring, on a voxel-by-voxel basis, brain function data capable of locating activated brain regions;
diffusion tensor data acquisition means for acquiring, on a voxel-by-voxel basis, diffusion tensor data capable of specifying a degree of diffusion of protons within the brain;
data evaluation value constitution means for computing, for each voxel, a connection degree vector indicating a degree of connectivity with its adjacent voxels based on the diffusion tensor data; and
data analysis means for analyzing the brain function data based on the connection degree vector.
18. The brain function analysis apparatus according to claim 17 , wherein the data analysis means calculates either of a minimum value and a maximum value of an evaluation value in which the evaluation value of the connection degree vector between the adjacent voxels is incorporated into an evaluation value for every voxel of the brain function data.
19. The brain function analysis apparatus according to claim 17 , wherein the data analysis means is means for testing the brain function data, and a reference value of the test is adjusted based on the connection degree vector.
20. The brain function analysis apparatus according to claim 17 , wherein the data analysis means is means for classifying the brain function data, and a reference value of the classification is adjusted based on the connection degree vector.
21. The brain function analysis apparatus according to claim 17 , wherein the data analysis means adjusts the brain function data based on predetermined anatomical data and the connection degree vector.
22. The brain function analysis apparatus according to claim 17 , further comprising data smoothing means for smoothing the brain function data based on the connection degree vector.
23. The brain function analysis apparatus according to claim 17 , further comprising data clustering means for clustering the brain function data based on the connection degree vector.
24. The brain function analysis apparatus according to claim 17 , further comprising data preprocessing means for pre-processing to transmit a value of the brain function data of an activated region voxel which is located from the brain function data acquired by the brain function data acquisition means to a value of the brain function data of another voxel based on the diffusion tensor data acquired by the diffusion tensor data acquisition means.