Machine Learning and Deep Learning Applications in Magnetic Particle Imaging

• Published in: Journal of magnetic resonance imaging Vol. 61; no. 1; pp. 42 - 51
• Main Authors: Nigam, Saumya, Gjelaj, Elvira, Wang, Rui, Wei, Guo‐Wei, Wang, Ping
• Format: Journal Article
• Language: English
• Published: Hoboken, USA John Wiley & Sons, Inc 01.01.2025; Wiley Subscription Services, Inc
• Subjects: Algorithms; Animals; Artificial intelligence; Deep Learning; Humans; Image processing; Image Processing, Computer-Assisted - methods; Image reconstruction; Imaging techniques; Imaging, Three-Dimensional - methods; Induced voltage; Ionizing radiation; Learning algorithms; Machine Learning; Magnetic fields; magnetic particle imaging; Magnetic Resonance Imaging - methods; Magnetite Nanoparticles; Review; Spatial discrimination; Spatial resolution; Temporal resolution; deep learning; machine learning; artificial intelligence; magnetic particle imaging

In recent years, magnetic particle imaging (MPI) has emerged as a promising imaging technique depicting high sensitivity and spatial resolution. It originated in the early 2000s where it proposed a new approach to challenge the low spatial resolution achieved by using relaxometry in order to measure...