SPFS: SNR peak-based frequency selection method to alleviate resolution degradation in MPI real-time imaging.

Abstract

OBJECTIVE:

The primary objective of this study is to address the reconstruction time challenge in Magnetic Particle Imaging (MPI) by introducing a novel approach named SNR-Peak-Based Frequency Selection (SPFS). The focus is on improving spatial resolution without compromising reconstruction speed, thereby enhancing the clinical potential of MPI for real-time imaging.

APPROACH:

To overcome the trade-off between reconstruction time and spatial resolution in MPI, the researchers propose SPFS as an innovative frequency selection method. Unlike conventional SNR-based selection, SPFS prioritizes frequencies with Signal-to-Noise Ratio (SNR) peaks that capture crucial system matrix information. This adaptability to varying quantities of selected frequencies enhances versatility in the reconstruction process. The study compares the spatial resolution of MPI reconstruction using both SNR-based and SPFS frequency selection methods, utilizing simulated and real device data.

MAIN RESULTS:

The research findings demonstrate that the SPFS approach substantially improves image resolution in Magnetic Particle Imaging, especially when dealing with a limited number of frequency components. By focusing on SNR peaks associated with critical system matrix information, SPFS mitigates the spatial resolution degradation observed in conventional SNR-based selection methods. The study validates the effectiveness of SPFS through the assessment of MPI reconstruction spatial resolution using both simulated and real device data, highlighting its potential to address a critical limitation in the field.

SIGNIFICANCE:

The introduction of SNR-Peak-Based Frequency Selection (SPFS) represents a significant breakthrough in MPI technology. The method not only accelerates reconstruction time but also enhances spatial resolution, thus expanding the clinical potential of MPI for various applications. The improved real-time imaging capabilities of MPI, facilitated by SPFS, hold promise for advancements in drug delivery, plaque assessment, tumor treatment, cerebral perfusion evaluation, immunotherapy guidance, and in vivo cell tracking.

• Authors: Shihao Shan, Chenglong Zhang, Min Cheng, Yafei Qi, Dexin Yu, Moritz Wildgruber, Xiaopeng Ma
• Journal: Physics in medicine and biology (Phys Med Biol) (Apr 09 2024) ISSN: 1361-6560 [Electronic] England
• PMID: 38593815 (Publication Type: Journal Article)
• Copyright: © 2024 Institute of Physics and Engineering in Medicine.