我遇到了一个问题，该脚本应该为fMRI数据批处理预处理管道。问题本身不是与图像相关的，而是某些我无法解决的编码问题，无论我试图将多少次迭代解决。
0x0000000001c97054代码显然很长，但这是因为我试图让它为每个功能运行使用132个文件。我已经能够在每次运行时使用1个文件，但这还不够。
我收到的错误是：
%-----------------------------------------------------------------------
% MATLAB Preprocessing Script
spm_jobman('initcfg');
spm('defaults','FMRI');
spm_jobman('run', matlabbatch);
gender = { 'female' };
subjs = { 'sub_06' 'sub_07' };
subjs_xt = { 'SUB_006' 'SUB_007' };
%% SPM Preprocessing
for k = 1:length(subjs)
matlabbatch{1}.spm.temporal.st.scans = {
{
'Z:\subject_data\' gender '\' subjs{k} '\Functional\' subjs_xt{k} '_run_1\run_1-t000-0001.nii,1'
...
'Z:\subject_data\' gender '\' subjs{k} '\Functional\' subjs_xt{k} '_run_1\run_1-t000-0132.nii,1'
}
}';
%%
matlabbatch{1}.spm.temporal.st.nslices = 30;
matlabbatch{1}.spm.temporal.st.tr = 2;
matlabbatch{1}.spm.temporal.st.ta = 1.93333333333333;
matlabbatch{1}.spm.temporal.st.so = [1 3 5 7 9 11 13 15 17 19 21 23 25 27 29 2 4 6 8 10 12 14 16 18 20 22 24 26 28 30];
matlabbatch{1}.spm.temporal.st.refslice = 1;
matlabbatch{1}.spm.temporal.st.prefix = 'a';
matlabbatch{2}.spm.spatial.realign.estwrite.data{1}(1) = cfg_dep('Slice Timing: Slice Timing Corr. Images (Sess 1)', substruct('.','val', '{}',{1}, '.','val', '{}',{1}, '.','val', '{}',{1}), substruct('()',{1}, '.','files'));
matlabbatch{2}.spm.spatial.realign.estwrite.data{2}(1) = cfg_dep('Slice Timing: Slice Timing Corr. Images (Sess 2)', substruct('.','val', '{}',{1}, '.','val', '{}',{1}, '.','val', '{}',{1}), substruct('()',{2}, '.','files'));
matlabbatch{2}.spm.spatial.realign.estwrite.data{3}(1) = cfg_dep('Slice Timing: Slice Timing Corr. Images (Sess 3)', substruct('.','val', '{}',{1}, '.','val', '{}',{1}, '.','val', '{}',{1}), substruct('()',{3}, '.','files'));
matlabbatch{2}.spm.spatial.realign.estwrite.data{4}(1) = cfg_dep('Slice Timing: Slice Timing Corr. Images (Sess 4)', substruct('.','val', '{}',{1}, '.','val', '{}',{1}, '.','val', '{}',{1}), substruct('()',{4}, '.','files'));
matlabbatch{2}.spm.spatial.realign.estwrite.eoptions.quality = 0.9;
matlabbatch{2}.spm.spatial.realign.estwrite.eoptions.sep = 4;
matlabbatch{2}.spm.spatial.realign.estwrite.eoptions.fwhm = 5;
matlabbatch{2}.spm.spatial.realign.estwrite.eoptions.rtm = 1;
matlabbatch{2}.spm.spatial.realign.estwrite.eoptions.interp = 2;
matlabbatch{2}.spm.spatial.realign.estwrite.eoptions.wrap = [0 0 0];
matlabbatch{2}.spm.spatial.realign.estwrite.eoptions.weight = '';
matlabbatch{2}.spm.spatial.realign.estwrite.roptions.which = [0 1];
matlabbatch{2}.spm.spatial.realign.estwrite.roptions.interp = 4;
matlabbatch{2}.spm.spatial.realign.estwrite.roptions.wrap = [0 0 0];
matlabbatch{2}.spm.spatial.realign.estwrite.roptions.mask = 1;
matlabbatch{2}.spm.spatial.realign.estwrite.roptions.prefix = 'r';
matlabbatch{3}.spm.spatial.coreg.estimate.ref(1) = cfg_dep('Realign: Estimate & Reslice: Mean Image', substruct('.','val', '{}',{2}, '.','val', '{}',{1}, '.','val', '{}',{1}, '.','val', '{}',{1}), substruct('.','rmean'));
matlabbatch{3}.spm.spatial.coreg.estimate.source = {'Z:\subject_data\' gender '\' subjs{k} '\Structural\T1-0001.nii,1'};
matlabbatch{3}.spm.spatial.coreg.estimate.other = {''};
matlabbatch{3}.spm.spatial.coreg.estimate.eoptions.cost_fun = 'nmi';
matlabbatch{3}.spm.spatial.coreg.estimate.eoptions.sep = [4 2];
matlabbatch{3}.spm.spatial.coreg.estimate.eoptions.tol = [0.02 0.02 0.02 0.001 0.001 0.001 0.01 0.01 0.01 0.001 0.001 0.001];
matlabbatch{3}.spm.spatial.coreg.estimate.eoptions.fwhm = [7 7];
matlabbatch{4}.spm.spatial.preproc.channel.vols(1) = cfg_dep('Coregister: Estimate: Coregistered Images', substruct('.','val', '{}',{3}, '.','val', '{}',{1}, '.','val', '{}',{1}, '.','val', '{}',{1}), substruct('.','cfiles'));
matlabbatch{4}.spm.spatial.preproc.channel.biasreg = 0.001;
matlabbatch{4}.spm.spatial.preproc.channel.biasfwhm = 60;
matlabbatch{4}.spm.spatial.preproc.channel.write = [0 0];
matlabbatch{4}.spm.spatial.preproc.tissue(1).tpm = {'C:\Program Files\spm12\spm12\tpm\TPM.nii,1'};
matlabbatch{4}.spm.spatial.preproc.tissue(1).ngaus = 1;
matlabbatch{4}.spm.spatial.preproc.tissue(1).native = [1 0];
matlabbatch{4}.spm.spatial.preproc.tissue(1).warped = [0 0];
matlabbatch{4}.spm.spatial.preproc.tissue(2).tpm = {'C:\Program Files\spm12\spm12\tpm\TPM.nii,2'};
matlabbatch{4}.spm.spatial.preproc.tissue(2).ngaus = 1;
matlabbatch{4}.spm.spatial.preproc.tissue(2).native = [1 0];
matlabbatch{4}.spm.spatial.preproc.tissue(2).warped = [0 0];
matlabbatch{4}.spm.spatial.preproc.tissue(3).tpm = {'C:\Program Files\spm12\spm12\tpm\TPM.nii,3'};
matlabbatch{4}.spm.spatial.preproc.tissue(3).ngaus = 2;
matlabbatch{4}.spm.spatial.preproc.tissue(3).native = [1 0];
matlabbatch{4}.spm.spatial.preproc.tissue(3).warped = [0 0];
matlabbatch{4}.spm.spatial.preproc.tissue(4).tpm = {'C:\Program Files\spm12\spm12\tpm\TPM.nii,4'};
matlabbatch{4}.spm.spatial.preproc.tissue(4).ngaus = 3;
matlabbatch{4}.spm.spatial.preproc.tissue(4).native = [1 0];
matlabbatch{4}.spm.spatial.preproc.tissue(4).warped = [0 0];
matlabbatch{4}.spm.spatial.preproc.tissue(5).tpm = {'C:\Program Files\spm12\spm12\tpm\TPM.nii,5'};
matlabbatch{4}.spm.spatial.preproc.tissue(5).ngaus = 4;
matlabbatch{4}.spm.spatial.preproc.tissue(5).native = [1 0];
matlabbatch{4}.spm.spatial.preproc.tissue(5).warped = [0 0];
matlabbatch{4}.spm.spatial.preproc.tissue(6).tpm = {'C:\Program Files\spm12\spm12\tpm\TPM.nii,6'};
matlabbatch{4}.spm.spatial.preproc.tissue(6).ngaus = 2;
matlabbatch{4}.spm.spatial.preproc.tissue(6).native = [0 0];
matlabbatch{4}.spm.spatial.preproc.tissue(6).warped = [0 0];
matlabbatch{4}.spm.spatial.preproc.warp.mrf = 1;
matlabbatch{4}.spm.spatial.preproc.warp.cleanup = 1;
matlabbatch{4}.spm.spatial.preproc.warp.reg = [0 0.001 0.5 0.05 0.2];
matlabbatch{4}.spm.spatial.preproc.warp.affreg = 'mni';
matlabbatch{4}.spm.spatial.preproc.warp.fwhm = 0;
matlabbatch{4}.spm.spatial.preproc.warp.samp = 3;
matlabbatch{4}.spm.spatial.preproc.warp.write = [0 1];
matlabbatch{5}.spm.spatial.normalise.write.subj(1).def(1) = cfg_dep('Segment: Forward Deformations', substruct('.','val', '{}',{4}, '.','val', '{}',{1}, '.','val', '{}',{1}), substruct('.','fordef', '()',{':'}));
matlabbatch{5}.spm.spatial.normalise.write.subj(1).resample(1) = cfg_dep('Realign: Estimate & Reslice: Realigned Images (Sess 1)', substruct('.','val', '{}',{2}, '.','val', '{}',{1}, '.','val', '{}',{1}, '.','val', '{}',{1}), substruct('.','sess', '()',{1}, '.','cfiles'));
matlabbatch{5}.spm.spatial.normalise.write.subj(2).def(1) = cfg_dep('Segment: Forward Deformations', substruct('.','val', '{}',{4}, '.','val', '{}',{1}, '.','val', '{}',{1}), substruct('.','fordef', '()',{':'}));
matlabbatch{5}.spm.spatial.normalise.write.subj(2).resample(1) = cfg_dep('Realign: Estimate & Reslice: Realigned Images (Sess 2)', substruct('.','val', '{}',{2}, '.','val', '{}',{1}, '.','val', '{}',{1}, '.','val', '{}',{1}), substruct('.','sess', '()',{2}, '.','cfiles'));
matlabbatch{5}.spm.spatial.normalise.write.subj(3).def(1) = cfg_dep('Segment: Forward Deformations', substruct('.','val', '{}',{4}, '.','val', '{}',{1}, '.','val', '{}',{1}), substruct('.','fordef', '()',{':'}));
matlabbatch{5}.spm.spatial.normalise.write.subj(3).resample(1) = cfg_dep('Realign: Estimate & Reslice: Realigned Images (Sess 3)', substruct('.','val', '{}',{2}, '.','val', '{}',{1}, '.','val', '{}',{1}, '.','val', '{}',{1}), substruct('.','sess', '()',{3}, '.','cfiles'));
matlabbatch{5}.spm.spatial.normalise.write.subj(4).def(1) = cfg_dep('Segment: Forward Deformations', substruct('.','val', '{}',{4}, '.','val', '{}',{1}, '.','val', '{}',{1}), substruct('.','fordef', '()',{':'}));
matlabbatch{5}.spm.spatial.normalise.write.subj(4).resample(1) = cfg_dep('Realign: Estimate & Reslice: Realigned Images (Sess 4)', substruct('.','val', '{}',{2}, '.','val', '{}',{1}, '.','val', '{}',{1}, '.','val', '{}',{1}), substruct('.','sess', '()',{4}, '.','cfiles'));
matlabbatch{5}.spm.spatial.normalise.write.woptions.bb = [-78 -112 -70
78 76 85];
matlabbatch{5}.spm.spatial.normalise.write.woptions.vox = [2 2 2];
matlabbatch{5}.spm.spatial.normalise.write.woptions.interp = 4;
matlabbatch{6}.spm.spatial.smooth.data(1) = cfg_dep('Normalise: Write: Normalised Images (Subj 1)', substruct('.','val', '{}',{5}, '.','val', '{}',{1}, '.','val', '{}',{1}, '.','val', '{}',{1}), substruct('()',{1}, '.','files'));
matlabbatch{6}.spm.spatial.smooth.fwhm = [8 8 8];
matlabbatch{6}.spm.spatial.smooth.dtype = 0;
matlabbatch{6}.spm.spatial.smooth.im = 0;
matlabbatch{6}.spm.spatial.smooth.prefix = 's';
matlabbatch{7}.spm.spatial.smooth.data(1) = cfg_dep('Normalise: Write: Normalised Images (Subj 2)', substruct('.','val', '{}',{5}, '.','val', '{}',{1}, '.','val', '{}',{1}, '.','val', '{}',{1}), substruct('()',{2}, '.','files'));
matlabbatch{7}.spm.spatial.smooth.fwhm = [8 8 8];
matlabbatch{7}.spm.spatial.smooth.dtype = 0;
matlabbatch{7}.spm.spatial.smooth.im = 0;
matlabbatch{7}.spm.spatial.smooth.prefix = 's';
matlabbatch{8}.spm.spatial.smooth.data(1) = cfg_dep('Normalise: Write: Normalised Images (Subj 3)', substruct('.','val', '{}',{5}, '.','val', '{}',{1}, '.','val', '{}',{1}, '.','val', '{}',{1}), substruct('()',{3}, '.','files'));
matlabbatch{8}.spm.spatial.smooth.fwhm = [8 8 8];
matlabbatch{8}.spm.spatial.smooth.dtype = 0;
matlabbatch{8}.spm.spatial.smooth.im = 0;
matlabbatch{8}.spm.spatial.smooth.prefix = 's';
matlabbatch{9}.spm.spatial.smooth.data(1) = cfg_dep('Normalise: Write: Normalised Images (Subj 4)', substruct('.','val', '{}',{5}, '.','val', '{}',{1}, '.','val', '{}',{1}, '.','val', '{}',{1}), substruct('()',{4}, '.','files'));
matlabbatch{9}.spm.spatial.smooth.fwhm = [8 8 8];
matlabbatch{9}.spm.spatial.smooth.dtype = 0;
matlabbatch{9}.spm.spatial.smooth.im = 0;
matlabbatch{9}.spm.spatial.smooth.prefix = 's';
end
有关如何解决此问题的任何帮助？
答案 0 :(得分：3)
与matlab相关的问题是你的脚本引用了一个名为matlabbatch的变量而没有定义它。如果这确实是一个matlab 脚本，而不是函数的一部分，那么您应该load之前的这个变量（来自.mat文件）将它放在基础工作空间中，或以其他方式构建它。
生成有效matlabbatch的行为与spm相关。如果您还没有这样做，请查看the manual。第39.1.4节预处理的自动化似乎描述了该怎么做。如果没有，请在手册的前面某处。由于这假设熟悉spm本身，我并没有试图弄明白自己。