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Automated detection and characterization of SPIO-labeled cells and capsules using magnetic field perturbations.

Authors :
Mills PH
Hitchens TK
Foley LM
Link T
Ye Q
Weiss CR
Thompson JD
Gilson WD
Arepally A
Melick JA
Kochanek PM
Ho C
Bulte JW
Ahrens ET
Source :
Magnetic resonance in medicine [Magn Reson Med] 2012 Jan; Vol. 67 (1), pp. 278-89. Date of Electronic Publication: 2011 Jun 07.
Publication Year :
2012

Abstract

Understanding how individual cells behave inside living systems will help enable new diagnostic tools and cellular therapies. Superparamagnetic iron oxide particles can be used to label cells and theranostic capsules for noninvasive tracking using MRI. Contrast changes from superparamagnetic iron oxide are often subtle relative to intrinsic sources of contrast, presenting a detection challenge. Here, we describe a versatile postprocessing method, called Phase map cross-correlation Detection and Quantification (PDQ), that automatically identifies localized deposits of superparamagnetic iron oxide, estimating their volume magnetic susceptibility and magnetic moment. To demonstrate applicability, PDQ was used to detect and characterize superparamagnetic iron oxide-labeled magnetocapsules implanted in porcine liver and suspended in agarose gel. PDQ was also applied to mouse brains infiltrated by MPIO-labeled macrophages following traumatic brain injury; longitudinal, in vivo studies tracked individual MPIO clusters over 3 days, and tracked clusters were corroborated in ex vivo brain scans. Additionally, we applied PDQ to rat hearts infiltrated by MPIO-labeled macrophages in a transplant model of organ rejection. PDQ magnetic measurements were signal-to-noise ratio invariant for images with signal-to-noise ratio > 11. PDQ can be used with conventional gradient-echo pulse sequences, requiring no extra scan time. The method is useful for visualizing biodistribution of cells and theranostic magnetocapsules and for measuring their relative iron content.<br /> (Copyright © 2011 Wiley-Liss, Inc.)

Details

Language :
English
ISSN :
1522-2594
Volume :
67
Issue :
1
Database :
MEDLINE
Journal :
Magnetic resonance in medicine
Publication Type :
Academic Journal
Accession number :
21656554
Full Text :
https://doi.org/10.1002/mrm.22998