Emerging Trends in PET and MRI Image Fusion: Guided Filter-Based Algorithms

In the realm of medical imaging, Magnetic resonance imaging (MRI) brings about finely detailed pictures of the inside of the body using a strong magnetic field, radio waves, and computer technology. Positron Emission Tomography (PET) employs these same principles to depict metabolic changes of an organism in false color. A brand-new guided filter (GF)-based fusion method for medical MRI and PET scans is put forward. The wavelet transform in this approach yields the approximation coefficient along with three wavelet coefficients for MRI and PET, respectively. By analyzing the two approximation coefficients' pixel values, two weight maps are produced. The matching approximation coefficient is utilized as the guided image and the weight maps as the input image for the creation of a GF. The GF is subsequently utilized to refine the weight images and generate enhanced weight maps. The approximations and wavelet coefficients of the PET and MRI images are integrated through weighted fusion. technique with updated weight maps. The inverse wavelet transform yields a combined PET/MRI picture. Finding the target volume's location and form is rendered easier by this approach. During therapy, this algorithm might more effectively steer clear of neighboring healthy organs when administering radiation, thus safeguarding the well-being of patients.