FPGA based Medical Image Fusion on Spartan Kit for Lung Disease Detection

The objective of this project is FPGA Based Image fusion technique to analyze Medical images like X-rays of the human bodies to diagnose various diseases. The best information on denser tissue having less distortion is provided by CT well known as Computed Tomography as for medical diagnosis. The information on the soft tissues with more distortion is better provided by MRI that is Magnetic Resonance Image. The basic idea of combining medical images from different equipment become very important with different types of equipment output and medical images in clinical applications. As it would get difficult to extract all the information from the single image, these experiments show that more clear and useful information could be extracted from the combined images in order to get the clear images. To convert images into pixel-format files and to observe simulation results, we here use MATLAB. In order to implement this paper, XPS and VB are needed. To obtain fused image here, first we need to select hardware and software components then by adding source and header files and converting into bit streams, we finally download into Spartan3 FPGA Image Processing Kit in Xilinx Platform Studio.