Resistosonography: Electrical Impedance Pseudo-Contrast of Ultrasound Images Agah D. Garnadi
Ronin Mathematicians
Abstract
Medical Image Fusion is the process of combining multiple images taken
by one or more medical imaging modalities. The purpose of medical image fusion is to incorporate structural and functional information of same body organ into a single image.
Extensive research efforts have been made in medical image fusion domain
to design fusion algorithms for better performance at a low computational cost. The proposed algorithm is based on Principal Component Analysis (PCA) and works in two phases. In the first phase, it generates intermediate images after applying PCA on Red, Green and Blue channels of sources images. In the second phase, the final fused image is obtained after applying PCA on pairs of individual color channels of intermediate images.
The algorithms is used to make a black-white (Grey scale) Ultrasound images, into a color images based on EIT images of the same object.
Keywords: Principal Component Analysis, Singular Value Decomposition,
