[Insight-users] ImageSeriesReader memory allocation for large datasets

[Marius Erdt]

Hello Luis,

I'm using a 32-Bit windows, but the process memory limit should not be a 
problem since the data consumes just about 500 Mb in total. The data is 
not copied or processed in advance, but just loaded using the itk image 
series reader.

The number of pixels of my data is 573x330 in all slices. However, I 
experience the same problem when loading big medical data sets of 
512x512. I don't know if it is maybe a problem with the total amount of 
slices that can be handled by the itk image series reader or if it is 
another issue.
Does anyone know if the itk reader has some built in memory limit?

Regards,
Marius


Luis Ibanez wrote:
> Are you running this in a Windows 64 bits machine ?
>
> Otherwise, Windows 32 processes can only manage 2Gb of RAM
> regardless whether you have more RAM available in your machine.
>
> BTW: you mention the number of slices, and the number of bits
>      per pixel, but not the number of pixels per slice.
>      Could you please clarify ?
>
>>
>> I'm getting the following memory allocation error together with the 
>> itk::ImageSeriesReader when loading series of png images:
>>
>> d:\itk\src\insighttoolkit-3.4.0\code\common\itkImportImageContainer.txx:188: 
>>
>> Failed to allocate memory for image.
>>
>> However, the data (about 1000 slices of 16Bit png or ~560 Mb) should 
>> fit into main memory (4Gbyte). Since the data is just loaded, the 
>> Windows data allocation limit for a single process should also not be 
>> the problem.
>>
>> I'm experiencing this behavior not just for png images but for all 
>> big datasets I want to load with itk. Does anyone know what exactly 
>> the problem is or how to load such big data sets with itk?
>>
>> Thanks for help,
>> Marius
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>