PET-CT Image Denoising and Segmentation based on a Multi Observation and Multi Scale Markov Tree Mod
Applied Wavelets and Contourlet transforms to denoise Positron Emission Tomography (PET) and computed tomography (CT). Wavelet fusion was applied on CT and PET, and tested for multi-modality image segmentation in order to take advantage of the high resolution of the morphological CT image and the high contrast of the functional PET image. Adopted Hidden Markov Tree for segmentation with initial segmentation generated using k-means clustering
Requirement
- Matalab2014 and above
How to run the file
- Put your data any where in your computer
- run Project_GUI.m, and
- and follow the instructions in the GUI
sample output
