Steps to perform volume segmentation using the FSM:
- First step is to acquire SPECT data for the object.
- The obtained SPECT data is preprocessed to remove noise, artifacts, and other unwanted features. This step includes filtering and normalization.
- Now we have to perfrom the image segmentation to separate the object from the background. FSM is a model-based image segmentation method that uses Fourier transforms to represent the surface of the object.
- Now the Fourier transform converts the SPECT data into the frequency domain, where the object's surface can be represented as a sum of Fourier coefficients.
- Fourier coefficients are thresholded to remove noise and other unwanted features.
- The thresholded Fourier coefficients are then transformed back to the spatial domain using the inverse Fourier transform. The resulting image represents the object's surface, which can be used to segment the volume of interest.
Hope it helps!
