Medical Image Fusion Using Unified Wavelet Principal Component Technique

Abstract

Medical imaging is a vital diagnostic and therapeutic tool. For the patient's treatment, high-quality pictures are needed to correctly outline the target volumes and structures. For diagnosis, treatment planning, and patient follow-up in the management of patients with a blood tumor, imaging data are utilized measurement and calculation of therapeutic dosages are necessary for treatment planning. For treatment planning, MRI and CT scans alone do not provide enough geometric and physical information. The benefits to the patient from merging these photos show the importance of image fusion in medical imaging. Doctors can utilize the simulation results in this paper to diagnose and analyze images from a variety of modalities with ease thanks to the use of MATLAB software.