Questions about tomography and scikit-image contribution

[Brian Breitsch]

Hello!

I am a graduate student who studies the ionosphere. This summer, I have 
been asked to develop a code base using python/scipy for ionospheric 
tomography. I have so far used the *radon* and *iradon* functions that are 
part of the scikit-image library.

I will soon finish my preliminary research/paper-reading/algorithm-testing 
phase, and am starting to plan the code phase. I wonder if the code I 
develop may be of value to the scikit-image library. For instance, I 
want/need to implement a more generalized Radon transform function that 
allows for specifying specific angle/offset pairs, and can work with sparse 
matrices. Also, perhaps a function for generating projection matrices. If 
it it may be of value, I would obviously want to design the code from the 
outset to conform to the scikit testing/style/code standards and best 
practices (this is probably a good idea regardless).

My sentiment is really similar to Emmanuelle Gouillart's: 
https://groups.google.com/forum/#!searchin/scikit-image/tomography/scikit-image/RrMX_mIE5_s/H_IcGh1vuF8J
Although, I am surely less experienced.

Here are four questions:

1) Is scikit-image the correct library for such functionality (like 
generalized Radon transform and projection matrix creation)?

2) Is there a reason (limitation) why the current radon/iradon functions 
are not more generalized?

3) If you think this functionality may be of use--any advice for 
development etc?

4) Where do you think the scikit-image project is in its lifecycle?

Thank you so much!

- Brian
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