[ITK] [ITK-users] ERROR: MeanSquaresImageToImageMetric: Too many samples map outside moving image buffer

[elena bresciani]

Any hint on how I can resolve my issue?
I'd really appreciate any suggestion?
I should change the metric?
I tried adding a Centered Transform Initializer but whitout success, even
after setting smaller step lenghts I have the same problem.

Cheers Elena


2014-07-23 14:52 GMT+02:00 elena bresciani <elena.bresciani87 at gmail.com>:

> I get the error immediately after running the script, so I think the
> problem is in the transform initialization.
> Should I try with itkCenteredTransformInitializer.h
> <http://www.itk.org/Doxygen/html/itkCenteredTransformInitializer_8h_source.html>
> ?
>
>
> 2014-07-23 14:48 GMT+02:00 Bradley Lowekamp <blowekamp at mail.nih.gov>:
>
> Is this at the first iteration of after a few? Are iterations converging,
>> diverging or erratic?
>>
>> If it's the first it's an indication that initial transform is poor and
>> they don't overlap much. There for the results of the transform initializer
>> should be evaluated.
>>
>> If it's after a few iterations, then is the iteration of the metric and
>> optimizer needs to be examine. Is the value of the metric correct and
>> correlated with the correct solution? Is the step size too big? Would
>> smoothing the fixed and moving images smooth optimization? etc?
>>
>> These registration examples are not designed to be turn key solution,
>> they are a stepping stone to learn about the registration framework, and
>> begin analyzing the behavior of the components so that a solution to your
>> problem can be constructed.
>>
>> Brad
>>
>> On Jul 23, 2014, at 8:30 AM, elena bresciani <elena.bresciani87 at gmail.com>
>> wrote:
>>
>> ExceptionObject caught !
>>
>> itk::ExceptionObject (0x3043350)
>> Location: "void itk::MeanSquaresImageToImageMetric<TFixedImage,
>> TMovingImage>::GetValueAndDerivative(const ParametersType&,
>> itk::MeanSquaresImageToImageMetric<TFixedImage,
>> TMovingImage>::MeasureType&,
>> itk::MeanSquaresImageToImageMetric<TFixedImage,
>> TMovingImage>::DerivativeType&) const [with TFixedImage =
>> itk::Image<unsigned char, 2u>; TMovingImage = itk::Image<unsigned char,
>> 2u>; itk::MeanSquaresImageToImageMetric<TFixedImage,
>> TMovingImage>::ParametersType = itk::OptimizerParameters<double>;
>> itk::MeanSquaresImageToImageMetric<TFixedImage, TMovingImage>::MeasureType
>> = double; itk::MeanSquaresImageToImageMetric<TFixedImage,
>> TMovingImage>::DerivativeType = itk::Array<double>]"
>> File: /usr/local/include/ITK-4.5/itkMeanSquaresImageToImageMetric.hxx
>> Line: 257
>> Description: itk::ERROR: MeanSquaresImageToImageMetric(0x30384c0): Too
>> many samples map outside moving image buffer: 4042 / 568832
>>
>>
>> 2014-07-23 13:47 GMT+02:00 Bradley Lowekamp <blowekamp at mail.nih.gov>:
>>
>>> What is the error you are getting?
>>>
>>> Brad
>>> On Jul 23, 2014, at 6:20 AM, elena bresciani <
>>> elena.bresciani87 at gmail.com> wrote:
>>>
>>> > Hello folks,
>>> >
>>> > I have a registration problem for you. I'm using the code in the
>>> example ImageRegistration5.cxx in order to align image of drugs blisters to
>>> assess if they are the same or not.
>>> >
>>> > The code works well even though for certain images couples I get the
>>> error in this message object.
>>> > I thought the problem could be the relative difference in images size
>>> and tried to pad the smallest one to have the same size as the biggest:
>>> same error.
>>> > After reading comments on the same topic I tried to add to the code
>>> the line
>>> >
>>> > registration -> SetFixedImageRegion (fixedImage ->
>>> GetBufferedRegion());
>>> >
>>> > again not solving my problem.
>>> > Attached you can find example images: while I can register image "1"
>>> on image "0", if I try to register "2" on "1" I get the ERROR.
>>> >
>>> > Any guess?
>>> >
>>> > Cheers,
>>> > Elena
>>> >
>>> >
>>> >
>>> > <0.jpg><1.jpg><2.jpg>
>>> >
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>>
>>
>
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