Abstract

This project aims to develop an FPGA-based image reconstruction system to speed up real-time Magnetic Resonance Imaging (MRI). MRI is a non-invasive imaging technology crucial for diagnosing various medical conditions. However, the lengthy image reconstruction process limits its real-time application. Field-Programmable Gate Arrays (FPGAs) offer a promising solution due to their parallel processing capabilities. This project will design, implement, and test an FPGA-based system to accelerate MRI image reconstruction, aiming to significantly reduce processing times and enhance the real-time capabilities of MRI technology.

Introduction

Magnetic Resonance Imaging (MRI) is widely used in medical diagnostics due to its detailed imaging capabilities. Despite its advantages, the image reconstruction process in MRI is computationally intensive, leading to delays that can hinder real-time imaging applications. Speeding up this process is crucial for improving patient outcomes and expanding the use of MRI in real-time diagnostic scenarios. Field-Programmable Gate Arrays (FPGAs) offer a hardware-based solution capable of parallel processing, which can significantly enhance the speed of image reconstruction. This project explores the development of an FPGA-based system to achieve faster MRI image reconstruction.

Problem

The main challenge with MRI technology is the time-consuming process of reconstructing images from raw data. Traditional software-based reconstruction methods, while accurate, are slow and computationally expensive, making real-time MRI applications impractical. This delay can impact clinical decision-making and patient throughput in healthcare settings. There is a need for a faster, more efficient method of MRI image reconstruction that can meet the demands of real-time applications without compromising image quality.

Aim

The aim of this project is to design, develop, and test an FPGA-based image reconstruction system for MRI. The goal is to leverage the parallel processing capabilities of FPGAs to accelerate the reconstruction process, thereby enabling real-time imaging and improving the efficiency of MRI diagnostics.

Objectives

1. Research existing MRI image reconstruction techniques and FPGA architectures to identify the most suitable approaches for implementation.

2. Design a hardware architecture for the FPGA-based image reconstruction system, including data acquisition, processing units, and output interfaces.

3. Develop and implement parallel algorithms for MRI image reconstruction on the FPGA, focusing on optimizing speed and accuracy.

4. Integrate the FPGA-based system with MRI hardware and software to enable seamless data transfer and processing.

5. Test and validate the FPGA-based system using simulated and real MRI data, evaluating its performance in terms of speed, accuracy, and reliability.

6. Compare the performance of the FPGA-based system with traditional software-based reconstruction methods to quantify the improvements in processing time and image quality.

7. Collaborate with medical professionals to assess the clinical feasibility and potential impact of the FPGA-based system on MRI diagnostics.

Research

The project involves interdisciplinary research in medical imaging, FPGA technology, and parallel computing. Initial research will focus on reviewing current MRI reconstruction techniques, such as Fourier transforms and iterative methods, and understanding their computational requirements. The design phase will involve creating a detailed architecture for the FPGA-based system, selecting appropriate FPGA hardware, and developing efficient parallel algorithms for image reconstruction. Development will include programming the FPGA using hardware description languages (HDLs) and optimizing the design for real-time performance. Testing and validation will involve extensive simulation and real-world experiments to ensure the system meets clinical standards. Collaboration with medical professionals and researchers will provide insights into practical applications and further refinements.

Ethical Considerations

Throughout the project, ethical considerations such as patient data privacy, compliance with medical device regulations, and ensuring the safety and accuracy of the reconstructed images will be prioritized. The project will adhere to relevant standards and guidelines to ensure that the developed technology is safe, reliable, and beneficial for clinical use.

By developing an FPGA-based system to speed up MRI image reconstruction, this project aims to enhance the real-time capabilities of MRI technology, potentially transforming diagnostic practices and improving patient care.