Hello Gerard,
I understand you would like to replicate the functionality provided by the Volume Viewer app programmatically.
To achieve this, you can utilize the "imresize3()" function, which allows you to resize the image in specified dimensions and obtain the desired output. The function employs bi-cubic interpolation by default for resizing. If you want to upscale the image to a cube, you can pass the same length for all three dimensions.
Here's an example of how you can use the "imresize3()" function:
resized_img = imresize3(img, [dim_in_x, dim_in_y, dim_in_z]); % resize the image based on the given input dimensions
new_dimension = size(resized_img); %verify iamge after resizing
If you are dealing with medical image data, it is important to note that the third dimension typically represents the number of captured images or slices. It is advisable to exercise caution when applying interpolation, as medical data is sensitive, and resizing may potentially impact the quality of the images.
Please refer to the following documentation links to learn more about "imresize3()" function.
- How does the function "imresize" work in details ? - MATLAB Answers - MATLAB Central (mathworks.com).
- Upscale image using imresize3.
- Interpolation methods used by imresize3.
Hope this helps!
Regards,
Aditi
