Dear brqainvisa expert
I try to fusion PET and MRI image in one subject, but I did not know how to do it.
I try to use the fdg vs irm T13D to output the pettomri transformation matrix, I got the following error
VipBiasCorrection
VipGetBrain
VipExtEdge
dims: [128, 128, 63, 1]
VipDeriche
VipHyste
------------------------------
!! VIP Error:
Execution aborted in function '(3Dconnex.c)VipGet3DConnex_S16BIT'.
------------------------------
------------------------------
! VIP Warning:
Nothing is left in VipHysteresisThresholding
------------------------------
------------------------------
!! VIP Error:
Not enough memory...
------------------------------
------------------------------
!! VIP Error:
Execution aborted in function '(Vip_alloc.c)VipRealloc'.
------------------------------
------------------------------
!! VIP Error:
Memory pb in realloc
------------------------------
------------------------------
!! VIP Error:
Execution aborted in function 'VipDwindleG3DBucket'.
------------------------------
VipExtEdge
------------------------------
!! VIP Error:
Execution aborted in function '(3Dconnex.c)VipGet3DConnex_S16BIT'.
------------------------------
------------------------------
! VIP Warning:
Empty bucket list in VipGetNthBiggest3DBucket_S16BIT
------------------------------
------------------------------
! VIP Warning:
Nothing is left in VipConnexVolumeFilter
------------------------------
------------------------------
!! VIP Error:
Not enough memory...
------------------------------
------------------------------
!! VIP Error:
Execution aborted in function '(Vip_alloc.c)VipRealloc'.
------------------------------
------------------------------
!! VIP Error:
Memory pb in realloc
------------------------------
------------------------------
!! VIP Error:
Execution aborted in function 'VipDwindleG3DBucket'.
------------------------------
VipMatching
------------------------------
!! VIP Error:
Execution aborted in function '(volume.gen)VipGetDataPtr_S16BIT'.
------------------------------
in chamfer - fdg vs irmT13D 1 RuntimeError: System call interrupted with signal SIGSEGV
in chamfer - fdg vs irmT13D 1 RuntimeError: System call interrupted with signal SIGSEGV
neuroProcesses.py (1003) in _processExecution:
result = process.execution( self )
chamfer - fdg vs irmT13D.py (126) in execution:
'-inv', self.mritopet.fullPath() )
neuroProcessesGUI.py (626) in system:
ret = apply( ExecutionContextGUI.system, (self,) + args, kwargs )
neuroProcesses.py (1072) in system:
ret = self._system( command, self._systemStdout, self._systemStderr )
neuroProcesses.py (1131) in _system:
result = c.wait()
neuroProcesses.py (548) in wait:
raise RuntimeError( _t_( 'System call interrupted with signal <em>%s</em>') % signalName( sig ) )
Process chamfer - fdg vs irmT13D 1 finished
is there any one can tell me how to do the fusion pet to mri ?
thanks
JLH
fusion of PET and MRI
-
Jean-Francois Mangin
- Posts: 337
- Joined: Mon Mar 01, 2004 10:24 am
- Location: Neurospin, CEA, France
- Contact:
I am afraid this brainVISA's treatment is not really operational yet.
It is tuned to SHFJ local PET acquisition features.
Anyway, in general, for any registration problem, you may
try first the AimsMIRegister Command, based on maximization
of mutual information. BrainVISA registration toolbox
should improve soon, a lot of people are thinking and working on
this purpose.
Jeff
PS If you are used to other registration softwares, you will have the possibility to
plug them into this toolbox in the future. Otherwise, we may provide you
the rule to convert the transformation format toward brainVISA specific one.
It is tuned to SHFJ local PET acquisition features.
Anyway, in general, for any registration problem, you may
try first the AimsMIRegister Command, based on maximization
of mutual information. BrainVISA registration toolbox
should improve soon, a lot of people are thinking and working on
this purpose.
Jeff
PS If you are used to other registration softwares, you will have the possibility to
plug them into this toolbox in the future. Otherwise, we may provide you
the rule to convert the transformation format toward brainVISA specific one.