Dear TBSS experts,
When I was running tbss_non_FA L1, I got the error message as follows:
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[jerry@localhost TBSS_74subjects_05Feb11]$ tbss_non_FA L1
using pre-chosen registration target: target
upsampling alternative images into standard space
NEO_FA_01_AL
NEO_FA_02_AN
NEO_FA_03_AC
NEO_FA_04_AO
NEO_FA_05_BB
NEO_FA_06_CM
NEO_FA_07_DW
NEO_FA_08_GM
NEO_FA_09_GA
NEO_FA_10_GC
NEO_FA_11_GJ
NEO_FA_12_HM
NEO_FA_13_HA
NEO_FA_14_HC
NEO_FA_15_JJ
NEO_FA_16_LC
NEO_FA_17_LK
NEO_FA_18_LB
NEO_FA_19_LM
NEO_FA_20_LT
NEO_FA_21_MB
NEO_FA_22_MG
NEO_FA_23_MI
NEO_FA_24_MB
NEO_FA_25_MG
NEO_FA_26_OO
NEO_FA_27_PR
NEO_FA_28_RA
NEO_FA_29_RM
NEO_FA_30_RM
NEO_FA_31_SK
NEO_FA_32_SA
NEO_FA_33_SM
NEO_FA_34_SB
NEO_FA_35_SD
NEO_FA_36_TE
NEO_FA_37_TK
NEO_FA_38_WJ
NEO_FA_39_WJ
NEO_FA_40_RY
NEO_FA_41_BE
NEO_FA_42_CN
NEO_FA_43_SL
NEO_FA_44_BB
NEO_FA_45_DK
NEO_FA_46_HB
NEO_FA_47_HM
NEO_FA_48_LG
NEO_FA_49_MD
NEO_FA_50_SM
NEO_FA_51_MD
NEO_FA_52_CN
NEO_FA_53_AG
NEO_FA_54_CF
NEO_FA_55_DC
NEO_FA_56_IH
NEO_FA_57_KJ
NEO_FA_58_QL
NEO_FA_59_SL
NEO_FA_60_WS
NEO_FA_61_AJ
NEO_FA_62_BB
NEO_FA_63_CK
NEO_FA_64_DC
NEO_FA_65_GM
NEO_FA_66_GN
NEO_FA_67_HR
NEO_FA_68_JS
NEO_FA_69_MV
NEO_FA_70_MA
NEO_FA_71_OA
NEO_FA_72_PM
NEO_FA_73_TL
NEO_FA_74_WD
merging all upsampled L1 images into single 4D image
Image Exception : #3 :: Attempted to multiply images/ROIs of different sizes
terminate called after throwing an instance of 'RBD_COMMON::BaseException'
/usr/local/fsl/bin/tbss_non_FA: line 100: 12240 Aborted $FSLDIR/bin/fslmaths all_$ALTIM -mas mean_FA_mask all_$ALTIM
projecting all_L1 onto mean FA skeleton
Image Exception : #99 :: Out of memory
terminate called after throwing an instance of 'RBD_COMMON::BaseException'
/usr/local/fsl/bin/tbss_non_FA: line 104: 12242 Aborted ${FSLDIR}/bin/tbss_skeleton -i mean_FA -p $thresh mean_FA_skeleton_mask_dst ${FSLDIR}/data/standard/LowerCingulum_1mm all_FA all_${ALTIM}_skeletonised -a all_$ALTIM
now run stats - for example:
randomise -i all_L1_skeletonised -o tbss_L1 -m mean_FA_skeleton_mask -d design.mat -t design.con -n 500 --T2 -V
(after generating design.mat and design.con)
[jerry@localhost TBSS_74subjects_05Feb11]$
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We used 32-bit, Linux, and 5GB RAM computer. Can anyone tell me what the problem is? If this was memory problem, somebody suggested us to split up the dataset into smaller chunks for the tbss_non_FA stage , and then re-combine the data. How can I do it? Can anyone explain to me in detail? Thanks for any advice.
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