[Insight-users] # of spatial samples
pinpress
sb_ji at yahoo.com
Wed Oct 29 09:36:24 EDT 2008
Hi Luis,
Thanks for your expertise.
I wonder if there is a similar default value of # of spatial samples used in
MI evaluation in other types of mutual information metric, e.g., normalized
mutual information. Of course, I could do an experiment to find it out.
In addition, I wonder what happens when the requested # of spatial samples
exceeds the total # of image voxels? For example, my moving image has 1000
voxels, but I requested 2000 spatial samples to use. Then the actual # of
spatial samples would be 1000 (i.e., the maximum # of voxels) or 2000?
Thanks a lot.
Pinpress
Luis Ibanez wrote:
>
>
> Hi Pinpress,
>
>
> Your observation is correct.
>
>
> 1) There is a default value for the number of samples
> to be used by the MattesMutualInformation. This is
> set in the constructor.
>
>
> 2) The initial value of 500 was based on regression tests
> performed on 2D images of dimensions 180 x 217.
>
>
> 3) It is *your responsibility* to replace the default value
> with a number of samples that matches your image size.
>
> A typical rule of thumb is to use between 1% and 5% of
> the total number of pixels in the image. You will find
> examples on how to compute this number in the ITK
> Software Guide, and the associated .cxx files in
>
> Insight/Examples/Registration
>
> Note however, that depending on the characteristics
> of your registration problem you may need to use more
> samples.
>
>
> 4) The samples are drawn "randomly" from the FixedImageRegion
> that you pass to the ImageRegistrationMethod.
>
>
>
> Please let us know if you have any further questions,
>
>
> Thanks
>
>
> Luis
>
>
> -----------
> pinpress wrote:
>> Hi,
>>
>> I just found out that when I was using
>> MattesMutualInformationImageToImageMetric in registration, there is a
>> default number of spatial samples used in the Mutual Information
>> evaluation,
>> which is 500. If I do not explicitly specify by calling:
>> SetNumberOfSpatialSamples, then the registration will not generally yield
>> good result. Is this observation correct? I have only tested on one
>> example
>> program so far.
>>
>> The other question is: Exactly how these spatial samples were determined?
>> Are they all from the moving image? Are they randomly selected voxels
>> from
>> the moving image? The reason I am asking is because I accidentally found
>> out
>> that the number of spatial samples could be even larger than the total
>> number of voxels. How can this be possible?
>>
>> Thanks.
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>
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