On the partial volume effect in magnetic particle imaging

<i>Objective.</i>Magnetic particle imaging (MPI) is an emerging tomographic 'hot spot' imaging modality with potential to visualize superparamagnetic iron oxide nanoparticle tracer distributions with high sensitivity and quantitative accuracy. MPI shares many similarities with positron emission tomography (PET), where the partial volume effect (PVE) can result in signal under- and over-quantification due to spill-over of signal arising from limited resolution. While the PVE has been alluded to in the MPI literature it has not been previously studied nor characterized. The objective of this study was to systematically characterize this PVE in MPI.<i>Approach.</i>This contribution characterizes the PVE using models of varying size and shape filled with a uniform concentration of tracer. The effect of object size on signal distribution was analyzed after application of a new image post-processing filter.<i>Main results.</i>As object size increased, signal distribution increased to a maximum signal value independent of object geometry and proportional to tracer concentration. Furthermore, for small objects with characteristic dimensions below the resolution of the tracer at the scanning conditions used, signal suppression was observed. These results are consistent with foundational observations of PVE in PET, suggesting that approaches to overcome the PVE in PET may be applicable to MPI.<i>Significance.</i>This finding has significant impact on the MPI field by demonstrating the presence of the PVE phenomenon that can directly influence imaging results.

Authors

Institutions

Publication Details

Journal
Physics in Medicine and Biology
Published
2025-02-04
DOI
https://doi.org/10.1088/1361-6560/ada417
Citations
5
Primary Topic
Characterization and Applications of Magnetic Nanoparticles
Type
article
Field-Weighted Citation Impact
3.37

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

On the partial volume effect in magnetic particle imaging

Carlos Rinaldi, Patrick Goodwill, Andrii K. Melnyk, Toby Sanders et al.
5 citations
Physics in Medicine and Biology
Characterization and Applications of Magnetic Nanoparticles
3.37
article

On the partial volume effect in magnetic particle imaging

Carlos Rinaldi, Patrick Goodwill, Andrii K. Melnyk, Toby Sanders, Abdul Rahman Mohtasebzadeh, Hayden J. Good, Eric Daniel Imhoff
article en
5 citations

Abstract

<i>Objective.</i>Magnetic particle imaging (MPI) is an emerging tomographic 'hot spot' imaging modality with potential to visualize superparamagnetic iron oxide nanoparticle tracer distributions with high sensitivity and quantitative accuracy. MPI shares many similarities with positron emission tomography (PET), where the partial volume effect (PVE) can result in signal under- and over-quantification due to spill-over of signal arising from limited resolution. While the PVE has been alluded to in the MPI literature it has not been previously studied nor characterized. The objective of this study was to systematically characterize this PVE in MPI.<i>Approach.</i>This contribution characterizes the PVE using models of varying size and shape filled with a uniform concentration of tracer. The effect of object size on signal distribution was analyzed after application of a new image post-processing filter.<i>Main results.</i>As object size increased, signal distribution increased to a maximum signal value independent of object geometry and proportional to tracer concentration. Furthermore, for small objects with characteristic dimensions below the resolution of the tracer at the scanning conditions used, signal suppression was observed. These results are consistent with foundational observations of PVE in PET, suggesting that approaches to overcome the PVE in PET may be applicable to MPI.<i>Significance.</i>This finding has significant impact on the MPI field by demonstrating the presence of the PVE phenomenon that can directly influence imaging results.

Physics in Medicine and BiologyVol. 70(4)
University of Florida (US), Strategic Insight (United States) (US)
National Institute of Neurological Disorders and Stroke, National Institute of Biomedical Imaging and Bioengineering
Openalex Percentile: Top 9%
Characterization and Applications of Magnetic Nanoparticles
3.37
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.