Roy Yao Rose Hills
Implementing a Low-Noise Preamplifier for Magnetic Particle Imaging
Magnetic Particle Imaging (MPI) is a novel medical imaging technology that tracks tiny iron nanoparticles injected into the body to detect diseases like cancer. It is radiation-free and does not have the tissue attenutation that limits other scans. Preamplifier noise and thermal noise held back resolution of MPI images. My project aims to design, build, and test a custom low-noise preamplifier. The circuit would amplifies faint signals while minimizing interference to improve both sensitivity and spatial resolution. Under the optimized design, I expect to achieve up to a 10× reduction in noise and a 5× increase in the captured frequency range, potentially enabling detection of iron masses as small as 200 nanograms. I will simulate the circuit using simulation tools, fabricate it on a custom printed circuit board, and integrate it into our lab’s MPI system to measure real improvements in image quality. This work could help make MPI scanners smaller, cheaper, and precise enough for routine clinical use in cancer imaging, vascular imaging, and cell tracking.
Message To Sponsor
Thank you for your support of my research during the summer! The project has a huge potential in reducing the signal-to-noise ratio (SNR), which would help translate magnetic particle imaging into industrial applications. Your funding provides me with the opportunity to apply class concepts to hands-on bioinstrumentation implementation. I am very grateful for this opportunity to support my work.