separator = "-" * 80 # which subject to work on? subid = "sub005" # work on results from this subject: ######################################## print (separator) print ("Project-Zeta: use times series to study ds105 dataset") print (separator) print ("Focus on %s for the analysis" % subid) print (separator) sub = sc.subject(subid) # get image files of this subject: sub_img = sub.run_img_result # get data for those figures print ("Get data from images...") sub_data = {} for key, img in sub_img.iteritems(): sub_data[key] = img.get_data() print ("Complete!") print (separator) brain1 = sub_data["sub005_run001"] x1 = copy.deepcopy(sub_data) maskedDict, volDict = msk.generateMaskedBrain(x1)
slice_number = 32 # separator: separator = "-" * 70 # work on subject 1 #################### print(separator) print("Project-Zeta: use linear regression to study ds105 dataset") print(separator) print("Focus on Sub001 for the analysis") print(separator) sub1 = sc.subject("sub001") # get image files for subject 1 sub1_img = sub1.run_img_result # report keys of all images: print("import sub001 images") print(separator) print("These images are imported:") img_key = sub1_img.keys() img_key.sort() for i in img_key: print(i) print(separator)