Add convolution streaming pipeline notebook

Create a notebook example demonstrating how operations on large image input can be streamed in smaller, manageable chunks. Suggest reading from an .mha image (which supports streaming) and performing at least one convolution stage to demonstrate streaming behavior.

Reference [Stream a Pipeline](https://examples.itk.org/src/core/common/streamapipeline/documentation) and [itkConvolutionImageFilterStreamingTest](https://github.com/InsightSoftwareConsortium/ITK/blob/master/Modules/Filtering/Convolution/test/itkConvolutionImageFilterStreamingTest.cxx). May be a slightly more challenging first issue, but a good way to learn the details about how the ITK pipeline model works.

Start with the referenced Stream a Pipeline example and itkConvolutionImageFilterStreamingTest.cxx to understand the ITK pipeline model and convolution streaming behavior. Create a notebook that reads a streamable .mha image, performs at least one convolution stage, and demonstrates processing in smaller chunks.

Written by the indexing model from the issue text.