new_update

CCN/CCN_ROI_filter.m

@@ -0,0 +1,48 @@
+% Author:Challen
+% 2017-6-30
+%funtion: set CCN in 00001_FA_normalize_to_CCN_withothers ROI to 1,and
+%remove other ROIs
+clc
+clear all;
+close all;  %initialization
+%cd 'F:\ADNI_AD\ADT1SEG\AD16\output'
+% name='Zhuxiaolan';
+[filename,pathname]=uigetfile({'*.*'},'choose any dcm file');
+cd(pathname);
+[hdr,filetype,fileprefix,machine] = load_nii_hdr(filename);
+[img,hdr] = load_nii_img(hdr,filetype,fileprefix,machine);
+
+%CCN:
+temp1=[1:4,15,16,21,22]; %label number
+index=(img==temp1(1)); %index是图像中对应label number的体素序号
+for t=temp1
+    index1=(img==t);
+    index=index|index1;
+end
+img(index)=1;
+
+%other than CCN:
+temp1=[5:14,17:20,23:59]; %label number
+index=(img==temp1(1)); %index是图像中对应label number的体素序号
+for t=temp1
+    index1=(img==t);
+    index=index|index1;
+end
+img(index)=0;
+
+%tabulate(img(:))
+
+
+%从1到Lable最大值排列
+Lables=unique(img);
+for i=1:length(Lables)
+    temp=Lables(i); %label number
+    index=(img==temp); %index是图像中对应label number的体素序号
+    img(index)=i-1;
+end
+
+CC_286_L=make_ana(img);     %savemat
+
+%cd(['H:\DTI_file\',name,'\fiber']) %自行更改路径
+save_untouch_nii(CC_286_L,'CCN_ROI');%save_untouch_nii(CC_286_R,'CC_286_R');
+tabulate(img(:))

Plot_Gretna/hitsz_gretn_PlotNetwork_2GroupCompare.m

@@ -10,10 +10,10 @@
 num_G=2;
 
 %分别确定G1与G2的Network Analysis网络参数txt的文件位置
-pathname_G1 = 'G:\韩璎课题组数据\SCD-NC\1SCD_network';
-pathname_G2 = 'G:\韩璎课题组数据\SCD-NC\NC_network';
+pathname_G1 = 'G:\玄武医院数据\M2图论分析\AD';
+pathname_G2 = 'G:\玄武医院数据\M2图论分析\NC';
 pathname_G3 = 'G:\韩璎课题组数据\SCD-NC\Result_path';
-pathname_P='G:\韩璎课题组数据\SCD-NC\P_value';
+pathname_P='G:\玄武医院数据\M2图论分析\p_val';
 
 % 读取G1的数据       
 dirs_G1=dir([pathname_G1, '\*.txt']);

level5_to_level3_M2.m

@@ -43,7 +43,7 @@
     end
 end
 %开始进行回溯
-path = 'G:\test';
+path = 'G:\深圳人民医院\朱进医生\分割结果_M2';
 cd(path)
 dirs_G1=dir([path, '\*.*']);
 dircell_G1=struct2cell(dirs_G1)' ;