Parallel 3D Temperature Image Reconstruction Using Multi-Color Magnetic Particle Imaging (MPI)

Published

October 18, 2024

Author(s)

Klaus Natorf Quelhas, Mark-Alexander Henn, Ricardo Cordeiro de Farias, Weston L. Tew, Solomon I. Woods

Abstract

Magnetic Particle Imaging (MPI) is a novel technique developed for remotely detecting magnetic nanoparticle (MNP) tracers, with great potential for biomedical imaging (as an alternative to traditional methods like MRI or CT), cell tracking, targeted drug delivery and magnetic hyperthermia. More recently, MPI has been studied as a potential method of non-contact temperature measurement. This work presents a simulation study of the multi-color MPI method tailored for 3D temperature imaging, discusses the feasibility of the method for 3D temperature measurements, and shows a parallel implementation of the multi-color T-MPI reconstruction algorithm in graphics processing unit (GPU). While the use of the parallel algorithm resulted in executions about 40x faster when compared to the serial implementation, the method exhibited serious limitations in accurately resolving particle temperatures between the calibration temperatures by interpolation.

Citation

AIP Conference Proceedings

Volume

3230

Issue

1

Pub Type

Journals

Download Paper

https://doi.org/10.1063/5.0234268

Local Download

Keywords

Magnetic Particle Imaging, MPI, Temperature measurement, T-MPI, Graphics Processing Unit, GPU, Parallel computing, CUDA, Image reconstruction

Citation

Natorf Quelhas, K. , Henn, M. , Cordeiro de Farias, R. , Tew, W. and Woods, S. (2024), Parallel 3D Temperature Image Reconstruction Using Multi-Color Magnetic Particle Imaging (MPI), AIP Conference Proceedings, [online], https://doi.org/10.1063/5.0234268, https://tsapps.nist.gov/publication/get_pdf.cfm?pub_id=956237 (Accessed October 31, 2024)