Efficient MRI Image Real-Time Processing Using FPGA-Based IIR Filters

• Published in: Journal Europeen des Systemes Automatises Vol. 57; no. 3; p. 869
• Main Authors: Hamad, Rasha Waleed, Ismail, Mohammad H, Raed, Sara
• Format: Journal Article
• Language: English; French
• Published: Edmonton International Information and Engineering Technology Association (IIETA) 25.06.2024
• Subjects: Accuracy; Brain cancer; Brain research; Efficiency; Genetic algorithms; Magnetic resonance imaging; Medical imaging; Neural networks; Principal components analysis; Wavelet transforms
• ISSN: 1269-6935; 2116-7087
• DOI: 10.18280/jesa.570326

Magnetic Resonance Imaging (MRI) holds a pivotal position in contemporary medical diagnostics and the formulation of treatment strategies. At the same time, real-time processing of its massive data faces challenges. The current research introduces a highly efficient way to use IIR filters with Xilinx System Generator (XSG) to construct MRI image processing algorithms. explore Furthermore, focuses on the feasibility of utilizing XSG for implementing image processing algorithms in the context of MRI. In the initial stage of the process, MRI image processing algorithms are used, such as image compression, edge detection, and image fusion. These algorithms are then implemented using XSG, which provides a graphical design environment for FPGA programming. The performance of the implemented algorithms is evaluated through some prescribed performance measures and the results showed that the proposed algorithms exhibited superior performance in comparison to existing research across the majority of measures. FPGA implementation of such algorithms is then achieved with less complexity (1%-2%). The results demonstrate that system generator provides an efficient approach for implementing MRI image processing algorithms on FPGA kit, enabling real-time processing and high-quality results.