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ldcca_tms = img_To_4D_array(
'C:\Users\Administrator\Desktop\contrast\2014-05-20-17-10.img'
);
spm_tms = img_To_4D_array(
'C:\Users\Administrator\Desktop\contrast\no_phycaa.img'
);
% x = size(spm_tms,
1
);
% y = size(spm_tms,
2
);
% z = size(spm_tms,
3
);
%
% %spm_tms_1d = reshape(spm_tms ,[
1
,x*y*z] );
%
%
% x = size(ldcca_tms,
1
);
% y = size(ldcca_tms,
2
);
% z = size(ldcca_tms,
3
);
%
% % ldcca_tms_1d = reshape( ldcca_tms , [
1
,x*y*z] );
mask_ldcca_tms = ldcca_tms >
0
;
inv_mask_ldcca_tms = ~mask_ldcca_tms;
mask_spm_tms = spm_tms >
0
;
inv_mask_spm_tms = ~mask_spm_tms;
%% 先提取出被去噪去除的点的时间过程 实验结果，去除了
435
个点，
% left_spm_tms = spm_tms(inv_mask_ldcca_tms);
tmp_spm = spm_tms .* inv_mask_ldcca_tms;
%>>这是最后的模板
mask_big_left_spm_tms = tmp_spm>
0
;
% big_left_spm_tms = left_spm_tms(left_spm_tms>
0
);
% aa = size(big_left_spm_tms)
%% 利用我们的去噪算法,得到的新的点，一个点都没有增加
% left_ldcca_tms = ldcca_tms(ldcca_tms);
tmp_ldcca = ldcca_tms .* inv_mask_spm_tms;
%>>这是最后的模板
mask_big_left_ldcca_tms = tmp_ldcca >
0
;
tmp_ldcca_data = tmp_ldcca>
0
;
tmp_ldcca_data_sum = size( tmp_ldcca(tmp_ldcca_data))
% big_left_ldcca_tms = left_ldcca_tms( left_ldcca_tms>
0
);
% bb = size(big_left_ldcca_tms)
%% 提取被去除的点的时间过程
%--brain functional 4d data
datacell_4d = load_untouch_nii(
'C:\Users\Administrator\Desktop\workspace\phycaa_plus_2104_03_27\func_4d.nii'
);
ldim = size(datacell_4d.img);
fullMsk = repmat( mask_big_left_spm_tms, [
1
,
1
,
1
,ldim(
4
)] );
nii = V; % copy nifti struct
nii.img = fullMsk; % replace volume
%nii.hdr.dime.dim(
5
) = size(TMPVOL,
4
); % adjust
for
#timepoints
save_untouch_nii(nii,
'mask_left_spm_tms_2d.nii'
);
left_spm_tms_2d = reshape( datacell_4d.img(fullMsk>
0
), [], ldim(
4
) );
inv_fullMsk = repmat( mask_spm_tms.*(~mask_big_left_spm_tms), [
1
,
1
,
1
,ldim(
4
)] );
inv_left_spm_tms_2d = reshape( datacell_4d.img(inv_fullMsk>
0
), [], ldim(
4
) );
nii = V; % copy nifti struct
nii.img = inv_fullMsk; % replace volume
%nii.hdr.dime.dim(
5
) = size(TMPVOL,
4
); % adjust
for
#timepoints
save_untouch_nii(nii,
'inv_left_spm_tms_2d.nii'
);
%% 计算相关系数
reference_stimulus =[
0
0
0
0
0
0
0
0
0
0
...
1
1
1
1
1
1
1
1
1
1
...
0
0
0
0
0
0
0
0
0
0
...
1
1
1
1
1
1
1
1
1
1
...
0
0
0
0
0
0
0
0
0
0
...
1
1
1
1
1
1
1
1
1
1
...
0
0
0
0
0
0
0
0
0
0
];
corr_left_spms=[];
intensitivity_spms=[];
for
i =
1
:size(left_spm_tms_2d,
1
)
% corr_left_spms{i} = corrcoef(reference_stimulus
' , left_spm_tms_2d(i,:)'
);
corr_left_spms(i)= corr2(reference_stimulus
' , left_spm_tms_2d(i,:)'
);
intensitivity_spms(i)=mean( left_spm_tms_2d(i,:) );
end
mean_corr = mean(corr_left_spms);
median_corr = median(corr_left_spms);
min_corr = min(corr_left_spms);
max_corr = max(corr_left_spms);
%max_mask = ;
mean_intensitivity = mean(intensitivity_spms);
median_intensitivity = median(intensitivity_spms);
min_intensitivity = min(intensitivity_spms);
inv_corr_left_spms=[];
for
i =
1
:size(left_spm_tms_2d,
1
)
% corr_left_spms{i} = corrcoef(reference_stimulus
' , left_spm_tms_2d(i,:)'
);
inv_corr_left_spms(i)= corr2(reference_stimulus
' , inv_left_spm_tms_2d(i,:)'
);
inv_intensitivity_spms(i)=mean( inv_left_spm_tms_2d(i,:) );
end
inv_mean_corr = mean(inv_corr_left_spms);
inv_median_corr = median(inv_corr_left_spms);
inv_min_corr = min(inv_corr_left_spms);
inv_max_corr = max(inv_corr_left_spms);
inv_mean_intensitivity = mean(inv_intensitivity_spms);
inv_median_intensitivity = median(inv_intensitivity_spms);
inv_min_intensitivity = min(inv_intensitivity_spms);
big_than_inv_min_corr = sum(
double
( corr_left_spms >inv_min_corr ));
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本文转自二郎三郎博客园博客，原文链接：http://www.cnblogs.com/haore147/p/3795810.html，如需转载请自行联系原作者
