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Updated: Sep 17, 2025
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Detection of Rare Genomic Variants from Pooled Sequencing Using SPLINTER
Published on: June 23, 2012
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Spillover can limit accurate signal quantification in MPI
Ali Shakeri-Zadeh1,2, Shreyas Kuddannaya1,2, Adnan Bibic1,3
1The Russell H. Morgan Department of Radiology and Radiological Science, Division of MR Research, The Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Npj Imaging
|July 3, 2025
Summary
Accurate magnetic particle imaging (MPI) quantification in vivo is challenging. Adjusting target-to-fiducial distance and iron concentration ratios significantly reduces signal spillover, improving MPI accuracy for magnetic tracer quantification.
Area of Science:
- Biomedical Engineering
- Medical Imaging
Background:
- Accurate quantification of magnetic particle imaging (MPI) signals in vivo is crucial but technically challenging.
- The spillover effect, signal leakage from adjacent regions, complicates in vivo MPI quantification, especially with multiple signal sources (hot spots).
Purpose of the Study:
- To assess and mitigate the spillover effect in MPI for improved in vivo magnetic tracer quantification.
- To determine the impact of fiducial positioning, iron content, and concentration ratios on MPI signal accuracy.
Main Methods:
- Utilized custom-designed phantoms and in vivo mouse studies.
- Investigated the influence of target-to-fiducial distance (TFD) and target-to-fiducial Fe concentration ratios (TFCR).
- Evaluated four different MPI scan modes for signal quantification accuracy.
Main Results:
- Adjusting TFD and TFCR significantly reduced the spillover effect in MPI.
- Optimized fiducial positioning and concentration ratios enhance signal quantification accuracy.
- The findings are applicable to scenarios with multiple hot spots in vivo.
Conclusions:
- Implementing strategies to adjust TFD and TFCR effectively mitigates spillover effects in MPI.
- This mitigation strategy increases the accuracy of in vivo magnetic tracer quantification using MPI.
- The study provides a pathway for more reliable MPI applications in biological research and clinical settings.
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