Creating a 3D image from the 3D data points

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leila 2011-9-4

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I have a dataset of 3D "grayscale" images (medical ultrasound dataset) in the form of cartesian coordinates of each voxel and according grayscale intesity values. I want to convert this data to the 3D image matrix (so that it can be used in matlab programming).

I have seen a similar function but for "plotting" named "pcolor" for "2D" images. I want that the output be a "3D" image "matrix" and I don't want only to visualize tha data, so this function is not useful.

-Do you know whether the matlab image processing toolbox (or file-exchange resources,...) has a function that can perform such conversion?

-If the suitable function does not exist in image processing toolbox, how I can program this conversion using matlab? I think that I must do some sort of interpolation, but I don't know exactly how to do it.

your help and comments are greatly appreciated I am looking forward to receiving responses

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回答（3 个）

Bjorn Gustavsson 2011-9-4

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If you have, or can put, your voxels in a simple plaid grid the matlab function to try first is slice. Then there are a bunch of tools for volume visualization/rendering on the file exchange:

http://www.mathworks.co.uk/matlabcentral/fileexchange/22940-vol3d-v2

http://www.mathworks.co.uk/matlabcentral/fileexchange/4927-vol3d-m-vol3dtool-m

For working with transparency I've had mixed success with matlabs alpha-functions, typically I've tried something like:

alphamap('rampdown');alphamap(0.3 .* alphamap);

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Bjorn Gustavsson 2011-9-5

Sure hell it is vague. You could analyse away on images in all sorts of directions with the IP toolbox and two persons setting off in different directions might never use the same special functions again. To correct myself I should have suggested griddata3 for you to use if your version of matlab does not have triscatteredinterp.

leila 2011-9-5

Dear Bjorn

Yes, I accept, that was vague. I think the griddata3() is a good suggestion. I will try the "griddata3()" function and I will report the result.

Thank you very much.

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Walter Roberson 2011-9-4

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You might be able to use interp3() to convert your data to a grid.

Depending exactly what you want to do with the data, you might find triscatteredinterp to be more useful.

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leila 2011-9-5

Yes, I think that I can use the interp3() function, the second suggestion (triscatteredinterp) is interesting, but I think this can be applied on 2D images.

Thank you.

Bjorn Gustavsson 2011-9-5

If your data points are randomly scattered in 3-D then your best start is to interpolate them to a plaid grid with griddata3. If I recall correctly interp3 expects the input data to be on a plaid grid already.

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leila 2011-9-15