I'm looking to construct a 3-D surface of a part of the brain based on 2-D contours from cross-sectional slices from multiple angles. Once I get this shape, I want to "fit" it to another set of contours via rescaling.
I'm aspiring to do this in the context of an MCMC analysis, so it would be very nice if I could easily compute the volume of the rescaled surface, and the minimum distance between a given point of the distance. (Accurate approximations are fine).
What would be a good image reconstruction algorithm that allows for volume and distance to be quickly calculated?