ARCHIVES

Medical image fusion is a critical process in modern diagnostic systems, combining complementary information from multiple imaging modalities such as CT, MRI, and PET to provide more accurate and comprehensive visualization for clinical analysis. This project presents the design and implementation of a real-time medical image fusion system on a Field-Programmable Gate Array (FPGA) platform. By leveraging the parallel processing capabilities and reconfigurability of FPGAs, the system achieves high-speed performance suitable for real-time applications, while maintaining image quality and accuracy. The proposed system employs a multi-resolution fusion algorithm, such as Discrete Wavelet Transform (DWT), to integrate features from different medical images. Hardware modules are designed using VHDL/Verilog and synthesized on an FPGA development board. The architecture is optimized for resource efficiency, latency, and throughput.