[MINC-users] nonlinear registration bombs with 0.5 mm isotropic voxels

Patrick Bermudez patrick at bic.mni.mcgill.ca
Fri May 29 13:01:08 EDT 2009


> Date: Fri, 29 May 2009 11:57:28 -0400
> From: Claude LEPAGE <claude at bic.mni.mcgill.ca>
> Subject: Re: [MINC-users] nonlinear registration bombs with 0.5 mm
>        isotropic       voxels
> To: minc-users at bic.mni.mcgill.ca
> Message-ID: <200905291557.n4TFvSGj010293 at grumio.bic.mni.mcgill.ca>
>
> Patrick,
>
> I could not reproduce your error.
>
> I tried with mni_autoreg 0.99.3 and 0.99.5 (internal cvs version)
> on both 32 and 64 bits architectures. I also ran 0.99.3 and 0.99.5
> 32-bits through valgrind successfully. I would say that the code is
> probably safe. Perhaps, as Andrew suggested, you ran out of memory.
> I know that many minc applications do not check the return status of
> memory allocation and keep on going as if memory had been allocated.

Hi Claude.  Thanks for the test.  I somehow doubt that this has been a
memory problem for the following two reasons:

1) The script dies on the first iteration of the first fit (with a
step size of 16 mm) on a system with 8 GB of RAM
2) When I source a 32-bit CIVET 1.1.9 environment (with minctracc
0.99.3) and run on the same machine, I have no trouble.

So it seems that either minctracc or one of the other tools called by
the script (e.g. mincblur, minccalc) under a fully 64-bit installation
(Ubuntu Hardy) is causing trouble.  Any thoughts?  Thanks.

Patrick


>> Dear MINCphilic colleagues,
>>
>> I am experiencing a problem with a nonlinear fit of 0.5 mm isotropic
>> volumes.  The script exits at the first iteration of the first fit.
>> I've placed everything I'm using here:
>>
>> /data/scratch/scratch2/patrick
>>
>> and the command I'm using is:
>>
>> ./04mm_NLfit.pl -source_mask 0.5mm_lsq12_subject_004_t1_nuc_mask.mnc
>> -target_mask 0.5mm_icbm_avg_152_t1_tal_nlin_symmetric_VI_mask.mnc
>> 0.5mm_lsq12_subject_004_t1_nuc.mnc
>> 0.5mm_icbm_avg_152_t1_tal_nlin_symmetric_VI.mnc nl.xfm
>>
>>
>> The resulting minctracc debug output looks like this:
>>
>> ===== Debugging information from minctracc =====
>> Data filename       =
>> /tmp/04mm_NLfit.pl-6uIu8oTx/0.5mm_lsq12_subject_004_t1_nuc_8_blur.mnc
>> Model filename      =
>> /tmp/04mm_NLfit.pl-6uIu8oTx/0.5mm_icbm_avg_152_t1_tal_nlin_symmetric_VI_8_blur.mnc
>> Data mask filename  = 0.5mm_lsq12_subject_004_t1_nuc_mask.mnc
>> Model mask filename = 0.5mm_icbm_avg_152_t1_tal_nlin_symmetric_VI_mask.mnc
>> Input xform name    =
>> Output filename     =
>> /tmp/04mm_NLfit.pl-6uIu8oTx/0.5mm_lsq12_subject_004_t1_nuc_0.xfm
>> Step size           = 16.000000 16.000000 16.000000
>> Sub-lattice dia     = 48.000000 48.000000 48.000000
>> Objective function  = cross correlation (threshold = 0.000000 0.000000)
>> Transform linear    = TRUE
>> Transform inverted? = FALSE
>> Transform type      = 9
>> Transform matrix    =    1.0000    0.0000    0.0000    0.0000
>>                          0.0000    1.0000    0.0000    0.0000
>>                          0.0000    0.0000    1.0000    0.0000
>> Transform center   =    0.000    0.000    0.000
>> Transform rotation   =    0.000    0.000    0.000
>>
>> Transform trans    =    0.000    0.000    0.000
>> Transform scale    =    1.000    1.000    1.000
>>
>> This run will use sub-lattice correlation (type 5) between the two input
>> vols.
>> Source volume size: 361  by 433  by 361
>> Source voxel =    0.500    0.500    0.500
>> min/max value=    0.001   80.845
>> min/max voxel=    0.000 4095.000
>>
>> Target volume size: 361  by 433  by 361
>> Target voxel =    0.500    0.500    0.500
>> min/max value=   -0.000   65.645
>> min/max voxel= -32768.000 32767.000
>>
>>
>>   using input transformation to get initial parameters:
>>    Center of rot/scale not forced, will be set to : 0.000000 0.000000
>> 0.000000
>> AFTER init_params()
>> Transform matrix    =    1.0000    0.0000    0.0000    0.0000
>>                          0.0000    1.0000    0.0000    0.0000
>>                          0.0000    0.0000    1.0000    0.0000
>>
>> Transform center   =    0.000    0.000    0.000
>> Transform rotations  =    0.000    0.000    0.000
>> Transform trans    =    0.000    0.000    0.000
>> Transform scale    =    1.000    1.000    1.000
>> Transform shear    =    0.000    0.000    0.000
>>
>> In set_up_lattice, xyzv[axes] = 2, 1, 0, -1
>> slice lim 0 9
>> row lim   1 12
>> col lim   1 9
>> thresh =    0.00000    0.00000
>> In set_up_lattice, xyzv[axes] = 2, 1, 0, -1
>> Target volume is smallest
>> Lattice step size  =   16.000   16.000   16.000
>> Lattice start      =  -64.000 -106.000  -62.000
>> Lattice count      =        9       12       10
>>
>> In append_new_default_deformation_field...
>> in append new def, the start is:  -64.000 -106.000  -62.000
>> in append_new_default_deformation_field:
>>         count_extended= 3 15 17 14
>>  point: -104.000 -146.000 -102.000
>>  start: -104.000 -146.000 -102.000
>>  wstrt: -104.000 -146.000 -102.000
>>  voxel:    0.000    0.000    0.000
>>  dirs:    1.000    0.000    0.000
>>  dirs:    0.000    1.000    0.000
>>  dirs:    0.000    0.000    1.000
>> There are 1 feature pairs
>> 0: [5] [1.00000]
>> /tmp/04mm_NLfit.pl-6uIu8oTx/0.5mm_lsq12_subject_004_t1_nuc_8_blur.mnc
>> <->
>> /tmp/04mm_NLfit.pl-6uIu8oTx/0.5mm_icbm_avg_152_t1_tal_nlin_symmetric_VI_8_blur.mnc
>> A sub-lattice is needed for at least one feature
>> Sub-lattice dia     = 48.000000 48.000000 48.000000
>> orig transform is 2 long
>> all_until_last is 1 long
>> inside do_nonlinear: thresh:     0.0000     0.0000
>>     443     433 -> 0.00440087
>>
>>
>> Debug info from do_nonlinear_optimization---------------
>> Initial corr         = 0.004401
>> Source vol threshold = 0.000000
>> Target vol threshold = 0.000000
>> Iteration limit      = 20
>> Iteration weight     = 1.000000
>> xyzv                 =   3   2   1   0
>> number_dimensions    = 3
>> num_of_dims_to_opt   = 3
>> smoothing_weight     = 1.000000
>> loop                 = (1 13) (1 16) (1 14)
>> current_def_vector   = 0.000000 0.000000 0.000000
>>
>> Fitting STRATEGY ----------
>>   This fit will use local simplex optimization and
>>   Simplex radius =   32.00 (voxels) or   16.00(mm)
>>     global smoothing.
>>   The similarity function will be evaluated using tri-linear interpolation
>>     on a ellipsoidal sub-lattice with a radii of
>>     6 nodes across the diameter
>>       96.00,  96.00,  96.00  (data voxels),
>>       48.00   48.00   48.00 (mm) width
>>       19.20   19.20   19.20 (data voxels) per node
>>        9.60    9.60    9.60 (mm) per node
>> -----------------------
>> Iteration  1 of 20
>> Died at ./04mm_NLfit.pl line 285.
>>
>>
>> A colleague has tracked down the following (in case it helps): minctracc
>> aborts in function "go_get_samples_with_offset" (sub_lattice.c:612) when
>> it attempts to make use of a null/zero Volume pointer (pointer
>> "sshort_ptr", line 612).  The indices themselves appear to be within range.
>>
>> Any and all help will be greatly appreciated.  Cheers.
>>
>> Patrick



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