Recent Developments of the Reconstruction in Magnetic Particle Imaging

Overview

Journal Vis Comput Ind Biomed Art

Specialty Biomedical Engineering

Date 2022 Sep 30

PMID 36180612

Authors

Lin Yin

Wei Li

Yang Du

Kun Wang

Zhenyu Liu

Hui Hui

Jie Tian

Affiliations

Soon will be listed here.

Abstract

Magnetic particle imaging (MPI) is an emerging molecular imaging technique with high sensitivity and temporal-spatial resolution. Image reconstruction is an important research topic in MPI, which converts an induced voltage signal into the image of superparamagnetic iron oxide particles concentration distribution. MPI reconstruction primarily involves system matrix- and x-space-based methods. In this review, we provide a detailed overview of the research status and future research trends of these two methods. In addition, we review the application of deep learning methods in MPI reconstruction and the current open sources of MPI. Finally, research opinions on MPI reconstruction are presented. We hope this review promotes the use of MPI in clinical applications.

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