老师们好,用DPARSF处理数据到滤波时总报错,报错内容如下:
Removing the linear trend: E:
Read 3D EPI functional images: "E:\DPARSF\Analysis\FunImgNormalizedSmoothed\Sub_001".......................................
Detrend working. Wait.............
Saving detrended images. Wait...
Detrend over.
Elapsed time is 24.863510 seconds.
Moving Dtrended Files:Sub_001 OK
Ideal rectangular filter: "E:\DPARSF\Analysis\FunImgNormalizedSmoothedDetrended\Sub_001"
Read 3D EPI functional images: "E:\DPARSF\Analysis\FunImgNormalizedSmoothedDetrended\Sub_001".
Load mask "".
Band Pass Filter working. Wait.............??? Out of memory. Type HELP MEMORY for your options.
Error in ==> rest_bandpass at 91
AllVolumeBrain(:,MaskIndex) = AllVolume;
Error in ==> DPARSF_run at 733
rest_bandpass([AutoDataProcessParameter.DataProcessDir,filesep,FunImgDir,filesep,AutoDataProcessParameter.SubjectID{i}],
...
Error in ==> DPARSF>pushbuttonRun_Callback at 939
[Error]=DPARSF_run(handles.Cfg);
Error in ==> gui_mainfcn at 96
feval(varargin{:});
Error in ==> DPARSF at 41
gui_mainfcn(gui_State, varargin{:});
??? Error while evaluating uicontrol Callback
运行DPARSF时,没有在运行别的东西,也没开网页,而且硬盘还有很大空间。我的DPARSF界面设置附在附件里,期待老师们的解答!
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Submitted by jiaxize on Wed, 10/08/2014 - 20:46 Permalink
Re: DPARSF进行预处理 到滤波时的问题。
内存不足。
参考此贴:http://www.restfmri.net/forum/Course#comment-168
Submitted by 2111101 on Thu, 10/09/2014 - 22:04 Permalink
Re: DPARSF进行预处理 到滤波时的问题。
Thank you very much!
Submitted by admin on Thu, 10/09/2014 - 09:13 Permalink
Re: DPARSF进行预处理 到滤波时的问题。
I used 4-slices once a time by default to do the band-pass filtering, this can be tuned to account for big memory or small memory.
However, before processing, I need read all data into memory first, this is hard point.
What I recommend is increase your memory (much cheaper than your data) by roughly estimating the need dependent on your time-point.
Another trick is to use single data-type in Matlab, which will reduce the memory need by half.
Good luck.
Submitted by 2111101 on Thu, 10/09/2014 - 22:03 Permalink
Re: DPARSF进行预处理 到滤波时的问题。
Problem resolved,thank you very much!