SVMCrossVal.git

loadImageFileNamesData.m          1) function datastruct = loadImageFileNamesData(loadParams)
loadImageFileNamesData.m          2) 
loadImageFileNamesData.m          3) global SVMCROSSVAL_SUBJECT_PREFIX;
loadImageFileNamesData.m          4) 
loadImageFileNamesData.m          5) RESULT_PATH = fullfile('results','SPM.mat');
loadImageFileNamesData.m          6) 
loadImageFileNamesData.m          7) for subjectCell = loadParams.subjectCellArray
loadImageFileNamesData.m          8)     SubjectID   = cell2mat(subjectCell);
loadImageFileNamesData.m          9)     subjectString = strcat(SVMCROSSVAL_SUBJECT_PREFIX,SubjectID); 
loadImageFileNamesData.m         10)     
loadImageFileNamesData.m         11)     display('loading SPM.mat ...');
loadImageFileNamesData.m         12)     des = load(fullfile(getStudyBasePath(loadParams.StudyID),SubjectID,RESULT_PATH));
loadImageFileNamesData.m         13)     des = des.SPM;
loadImageFileNamesData.m         14)     display('... done.');
loadImageFileNamesData.m         15)     
loadImageFileNamesData.m         16)     datastruct.(subjectString).images      = getImageFileList(des,loadParams.use_smoothed_image_hack);
loadImageFileNamesData.m         17)     

private/loadImageFileNamesData.m 18)     subjectPath = fullfile(getStudyBasePath(loadParams.StudyID),SubjectID);
private/loadImageFileNamesData.m 19)     

loadImageFileNamesData.m         20)     ROIIMAGE = 1;
loadImageFileNamesData.m         21)     if ROIIMAGE
loadImageFileNamesData.m         22)         %load ROI Image Header

private/loadImageFileNamesData.m 23) %         wd = 'C:\Dokumente und Einstellungen\Christoph\Eigene Dateien\Diplomarbeit\data';
private/loadImageFileNamesData.m 24)         wd = subjectPath;
private/loadImageFileNamesData.m 25)         datastruct.(subjectString).roiImages = readRoiImage(sprintf('Select ROI Images for Subject %s',SubjectID),wd);