Interpolating along the 2-D image slices

I have a set of 100 2-D image slices of the same size. I have used MATLAB to stack them to create a volumetric data. While the size o开发者_运维知识库f the 2-D slices is 480x488 pixels, the direction in which the images are stacked is not wide enough to visualize the volume in different orientation when projected. I need to interpolate along the slices to increase the size for visualization.

Can somebody please give me an idea or tip about how to do it?

Edit: Anotated projected microscopy-images

The figure 1 is the top-view of the projected volume.

The figure 2 is the side-view of the projected volume.

When I change the rotation-angle, and try to visualize the volume in different orientation, e.g. side-view (figure 2), is what I see as in figure 2.

I want to expand the side view by interpolating along the image slices.

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Here is an adapted example from the MATLAB documentation on how to visualize volumetric data (similar to yours) using isosurfaces:

%# load MRI dataset: 27 slices of 128x128 images
load mri
D = squeeze(D);       %# 27 2D-images

%# view slices as countours
contourslice(D,[],[],1:size(D,3))
colormap(map), view(3), axis tight

%# apply isosurface
figure
%#D = smooth3(D);
p = patch( isosurface(D,5) );
isonormals(D, p);
set(p, 'FaceColor',[1,.75,.65], 'EdgeColor','none')
daspect([1 1 .5]), view(3), axis tight, axis vis3d
camlight, lighting gouraud

%# add isocaps
patch(isocaps(D,5), 'FaceColor','interp', 'EdgeColor','none');
colormap(map)

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MATLAB has a function interp3 that can be used for interpolation, assuming that the data is uniformly discretised.

Check out the documentation.

Hope this helps.

EDIT: The MATLAB function interp3 works as follows:

vi = interp3(x, y, z, v, xi, yi, zi);

I assume that your "stack" of slices defines the arrays x, y, z, v as 3D arrays, where x, y are the coordinates of the pixels in the plane, z is the "height" of each slice and v is the actual image slices, maybe as "intensity" values for the pixels.

If you want to interpolate new image slices at intermediate z values you could specify these levels in the zi array. The arrays xi, yi would again represent the coordinates of the pixels in the plane.

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I created a function to interpolate along image slices. Below is the code:

    function res = interp_along_slices( vol, scale )
    % Interpolation along the image slices

    % Get the size of the volume
      [r c p] = size(vol);

    % Pre-allocate the array:
    % the third dimension is scale times the p
      vol_interp = zeros(r,c,scale*p);

    % interpolate along the image slices 
      for inr = 1:r;
          for jnr = 1:c;
              xi = vol(inr,jnr,:);
              vol_interp(inr,jnr,:) = interp(xi, scale); 
          end;
      end;

      res = vol_interp;

    end