3D reconstruction using 2D axial, sagittal and coronal slices.

I have a bunch of 2D slices from Left Ventricle cardiac images in axial, sagittal and coronal planes. From the binary masks of the left ventricle in 2D, I want to construct a 3D boundary to measure the volume of left ventricle. So I'm only concerned with interpolating/extrapolating the missing boundary pixel locations in binary and not the pixels that lie inside the cavity.

So far I have used Sliceomatic to visualize a prolate spheroid equation. Can anyone recommend an existing method to reconstruct 3D from 2D and measure it's volume?

Note: The volume measurements doesn't have to be accurate. I'm only looking whether it follows a pattern or not.

Thanks in advance.

[Sahar Mahmoudi]

I have the same the problem, did you solve it?

[Rik]

The reason this has attracted no answers is probably because it asks contributors to do a lot of leg work. This isn't easy to reduce to a Matlab question, as it offers no information on what data exactly is available.

And on a more scientific note: ask yourself (or your supervisor) if it isn't better to use the area to determine a trend, and not rely on the interpolation. It might introduce a bias of its own, which you might not be able to correct for.