[ITK] b-spline registration performance

[Chadwick Rothenberg]

Hello,

I'm new to non-rigid image registration and ITK, and I've been using
SimpleITK to perform b-spline registrations.

I am working with relatively large images (pixels, x: 3000, y: 2500, z:
100) with dense information (microscopy images), and I'm quite frustrated
with the speed / computation time.

I'm following (
https://github.com/SimpleITK/SimpleITK/blob/master/Examples/ImageRegistrationMethodBSpline2.py)
except that I'm using (25, 25, 10) mesh (ideally higher numbers if
feasible), correlation for metrics (I'm working with unimodal), and using
down-sampled images with multi-resolution registration (12x smaller, 6x
smaller). With two E5 2687w processors, the Python process (the SimpleITK)
takes about 70~80% CPU. Ideally I'd like to use at least (40, 40, 20) mesh.

1. Will I gain any performance by using ITK instead of SimpleITK?

2. What advice could you give me to improve the b-spline registration speed
(both in general and specifically in SimpleITK)?

Thanks in advance, and I'd greatly appreciate your reply.

Regards,
Chad
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