Systematic evaluation of magnetic particle imaging quantification strategies in biologically relevant scenarios using anatomically correct 3D printed mouse phantoms.

Λεπτομέρειες βιβλιογραφικής εγγραφής
Τίτλος:	Systematic evaluation of magnetic particle imaging quantification strategies in biologically relevant scenarios using anatomically correct 3D printed mouse phantoms.
Συγγραφείς:	Valdés DP; Department of Chemical Engineering, University of Florida, Gainesville, FL 32611, United States of America., Zammataro SN; J. Crayton Pruitt Department of Biomedical Engineering, University of Florida, Gainesville, FL 32611, United States of America., Melnyk A; Department of Chemical Engineering, University of Florida, Gainesville, FL 32611, United States of America., Velazquez-Albino AC; Department of Chemical Engineering, University of Florida, Gainesville, FL 32611, United States of America., Rajab Ali S; Department of Chemical Engineering, University of Florida, Gainesville, FL 32611, United States of America.; J. Crayton Pruitt Department of Biomedical Engineering, University of Florida, Gainesville, FL 32611, United States of America., Rinaldi-Ramos CM; Department of Chemical Engineering, University of Florida, Gainesville, FL 32611, United States of America.; J. Crayton Pruitt Department of Biomedical Engineering, University of Florida, Gainesville, FL 32611, United States of America.
Πηγή:	Physics in medicine and biology [Phys Med Biol] 2026 Aug 07; Vol. 71 (15). Date of Electronic Publication: 2026 Aug 07.
Τύπος έκδοσης:	Journal Article; Evaluation Study
Γλώσσα:	English
Στοιχεία περιοδικού:	Publisher: IOP Publishing Country of Publication: England NLM ID: 0401220 Publication Model: Electronic Cited Medium: Internet ISSN: 1361-6560 (Electronic) Linking ISSN: 00319155 NLM ISO Abbreviation: Phys Med Biol Subsets: MEDLINE
Imprint Name(s):	Original Publication: Bristol : IOP Publishing
Ιατρικοί όροι (MeSH):	Magnetic Particle Imaging/instrumentation , Phantoms, Imaging , Printing, Three-Dimensional* , Magnetite Nanoparticles*, Animals ; Mice ; Image Processing, Computer-Assisted ; Signal-To-Noise Ratio
Περίληψη:	Objective.Many applications of magnetic nanoparticles (MNPs) require accumulation at target organs that can be challenging to achieve and to characterize. Magnetic particle imaging (MPI) enables sensitive and quantitative detection of MNPs, however the proximity of target signals to high accumulation organs hinders accurate quantification due to signal spillover effects. Specifically, we sought to systematically evaluate MPI quantification strategies under conditions mimicking pre-clinical animal studies and account for spillover.Approach.We developed an anatomically accurate 3D-printed mouse phantom with a fillable liver cavity, brain and lung ports and a hind flank cavity. By emulating high liver MNP uptake alongside low MNP concentrations in target locations at varying distances, we compared quantification from threshold-based and constant-volume segmentations, as well as a subtraction approach, both for 2D and 3D MPI scans.Main results.Thresholding was reliable for isolated high-signal regions but overestimated signal near the liver or at low signal-to-noise ratios. Constant-volume segmentation improved signal separation, and subtraction strategies mitigated spillover overestimation, enhancing the limit of quantification. With the subtraction approach we were able to quantify as low a signal as 0.05 and 0.25% of the total dose in the phantom in the brain/lung and hind flank of the mouse phantom with 3D MPI, respectively.Significance.These results underscore the importance of accounting for superimposed signals in quantitative MPI and highlight anatomically correct phantoms as essential tools for refining biodistribution assessment methods in nanomedicine using MPI. (Creative Commons Attribution license.)
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Grant Information:	R01 CA298804 United States CA NCI NIH HHS; R01 EB031224 United States EB NIBIB NIH HHS; R21 CA263653 United States CA NCI NIH HHS; R21 NS125089 United States NS NINDS NIH HHS
Contributed Indexing:	Keywords: 3D printing; magnetic nanoparticles; magnetic particle imaging; phantom; quantification; segmentation
Substance Nomenclature:	0 (Magnetite Nanoparticles)
Entry Date(s):	Date Created: 20260728 Date Completed: 20260807 Latest Revision: 20260910
Update Code:	20260910
PubMed Central ID:	PMC13449281
DOI:	10.1088/1361-6560/ae91c7
PMID:	42520842
Βάση Δεδομένων:	MEDLINE

Περιγραφή
ISSN:	1361-6560
DOI:	10.1088/1361-6560/ae91c7