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Subject:

CAT12 error - Vectors must be the same length

From:

Yann Quidé <[log in to unmask]>

Reply-To:

Yann Quidé <[log in to unmask]>

Date:

Wed, 16 Jun 2021 07:33:25 +1000

Content-Type:

multipart/mixed

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text/plain (14 lines) , catlog_main_20210613_175050_log01.txt (169 lines)

Dear Christian and other CAT12 users,

I’m using the latest version of CAT12.8 (r1844) in Matlab 2018b, SPM12(v7771).
I receive the attached error right at the end of my segmentation step; see attached log.
I’m not sure I understand why, as I processed an independent cohort without any issue.

Do you have any idea?

Thanks in advance.

Yann




                            < M A T L A B (R) >                   Copyright 1984-2014 The MathWorks, Inc.                    R2014b (8.4.0.150421) 64-bit (glnxa64)                              September 15, 2014   To get started, type one of these: helpwin, helpdesk, or demo. For product information, visit www.mathworks.com.   CAT parallel processing with MATLAB PID: 5235 ------------------------------------------------------------------------ CAT12.8-Beta r1844: 1/133: ./Subjects/100109/100109.nii ------------------------------------------------------------------------ SANLM denoising (medium): 54s APP: Rough bias correction:   Initialize 14s   Estimate background 13s   Initial correction 18s   Refine background 7s   Final correction 13s   Final scaling 12s                                                                      88s Correct center-of-mass 11s Affine registration 45s SPM preprocessing 1 (estimate 1 - TPM registration): 198s SPM preprocessing 1 (estimate 2): 228s SPM preprocessing 2 (write):   Write Segmentation 31s   Update Segmentation 35s   Update Skull-Stripping 82s   Update probability maps 10s                                                                     158s Global intensity correction: 34s SANLM denoising after intensity normalization (medium): 14s Fast Optimized Shooting registration 61s Local adaptive segmentation (LASstr=0.50):   Prepare maps 13s   Prepare partitions 3s   Prepare segments (LASmod = 1.05) 32s   Estimate local tissue thresholds (WM) 30s   Estimate local tissue thresholds (GM) 35s   Estimate local tissue thresholds (CSF/BG) 8s   Intensity transformation     0s   SANLM denoising after LAS (medium) 27s                                                                     153s ROI segmentation (partitioning):   Atlas -> subject space 20s   Major structures 12s   Ventricle detection 30s   Blood vessel detection 18s   WMH detection (WMHCstr=0.50 > WMHCstr'=0.10) 69s   Manual stroke lesion detection 0s   Closing of deep structures 4s   Side alignment 10s   Final corrections 5s                                                                     168s Blood vessel correction (BVCstr=0.50): 2s Amap using initial SPM12 segmentations (MRF filter strength 0.05): 100s     AMAP peaks: [CSF,GM,WM] = [0.36±0.06,0.68±0.07,0.98±0.05] Final cleanup (gcutstr=0.25):   Level 1 cleanup (ROI estimation) 12s   Level 1 cleanup (brain masking) 6s   Level 2 cleanup (CSF correction) 3s   Level 3 cleanup (CSF/WM PVE) 6s                                                                      26s Optimized Shooting registration with 2.50:-0.25:1.50 mm (regstr=0.50):   Template: "/mridata/workingdata/RUSE/spm12_cat12.8/toolbox/cat12/templates_MNI152NLin2009cAsym/Template_0_GS.nii"     1 | 2.50 | 0.0834 0.0000 0.0834 | 32.0000     2 | 2.50 | 0.0813 0.0011 0.0824 | 29.4886     3 | 2.50 | 0.0808 0.0016 0.0823 | 26.9772     4 | 2.50 | 0.0805 0.0017 0.0822 | 24.6107     5 | 2.50 | 0.0802 0.0018 0.0821 | 22.6548     6 | 2.50 | 0.0800 0.0019 0.0819 | 20.6989     7 | 2.50 | 0.0798 0.0019 0.0818 | 18.9688     8 | 2.50 | 0.0796 0.0020 0.0816 | 17.4455     9 | 2.50 | 0.0794 0.0021 0.0814 | 15.9223    10 | 2.50 | 0.0791 0.0021 0.0812 | 14.6627    11 | 2.50 | 0.0789 0.0022 0.0811 | 13.4764    12 | 2.50 | 0.0786 0.0022 0.0808 | 12.3015    13 | 2.50 | 0.0784 0.0023 0.0807 | 11.3776    14 | 2.50 | 0.0781 0.0023 0.0805 | 10.4537    15 | 2.25 | 0.0768 0.0024 0.0791 | 9.5920    16 | 2.25 | 0.0741 0.0037 0.0778 | 8.8725    29 | 2.00 | 0.0757 0.0016 0.0774 | 3.3283    30 | 2.00 | 0.0697 0.0040 0.0738 | 3.1221    31 | 2.00 | 0.0678 0.0050 0.0728 | 2.9160    43 | 1.75 | 0.0671 0.0028 0.0699 | 1.5785    44 | 1.75 | 0.0626 0.0052 0.0678 | 1.5194    45 | 1.75 | 0.0612 0.0060 0.0672 | 1.4626    57 | 1.50 | 0.0596 0.0043 0.0639 | 1.0900    58 | 1.50 | 0.0564 0.0064 0.0628 | 1.0730    59 | 1.50 | 0.0553 0.0071 0.0624 | 1.0579 Shooting registration with 2.50:-0.25:1.50 mm takes: 258s   Prepare output 20s                                                                     278s   Jacobian determinant (RMS): 0.101381            Template Matching: 0.166032 Write result maps: 14s Surface and thickness estimation: lh:   Thickness estimation (0.50 mm³):     WM distance: 133s     CSF distance: 45s     PBT2x thickness: 149s                                                                     346s   Create initial surface 160s   Topology correction: 270s   Surface refinement: 209s   Reduction of surface collisions with optimization: 172s   Spherical mapping with areal smoothing 204s   Spherical registration 334s rh:   Thickness estimation (0.50 mm³):     WM distance: 139s     CSF distance: 45s     PBT2x thickness: 145s                                                                     346s   Create initial surface 156s   Topology correction: 286s   Surface refinement: 166s   Reduction of surface collisions with optimization: 199s   Spherical mapping with areal smoothing 208s   Spherical registration 307s Final surface processing results:   Average thickness: 2.6964 ± 0.7728 mm   Euler characteristic / defect size: 20 / 0.28%   Display thickness: /mridata/workingdata/Subjects/100109/surf/lh.thickness.100109   Display thickness: /mridata/workingdata/Subjects/100109/surf/rh.thickness.100109   Show surfaces in orthview: /mridata/workingdata/Subjects/100109/100109.nii   Surface ROI estimation: Surface and thickness estimation takes: 3529s ROI estimation:   ROI estimation of 'cobra' atlas 11s   ROI estimation of 'neuromorphometrics' atlas 39s   ROI estimation of 'lpba40' atlas 11s   ROI estimation of 'hammers' atlas 28s   ROI estimation of 'thalamus' atlas 2s   ROI estimation of 'ibsr' atlas 10s   Write results 10s                                                                     102s Quality check: 8s ------------------------------------------------------------------------ CAT Preprocessing error for 100109: ------------------------------------------------------------------------ Vectors must be the same length. ------------------------------------------------------------------------  1011 - cat_main_reportfig   967 - cat_main1639  1086 - cat_run_job1639    40 - cat_run_newcatch   919 - run_job   501 - cat_run ------------------------------------------------------------------------ {Reference to a cleared variable cat_err_res. Error in cat_run_newcatch (line 201)     if isfield(cat_err_res,'res') Error in cat_run>run_job (line 919)       cat_run_newcatch(job,tpm,subj); Error in cat_run (line 501) varargout{1} = run_job(job); }

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