z-logo
Premium
Mapping immune cell infiltration using restricted diffusion MRI
Author(s) -
Yeh FangCheng,
Liu Li,
Hitchens T. Kevin,
Wu Yijen L.
Publication year - 2017
Publication title -
magnetic resonance in medicine
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.696
H-Index - 225
eISSN - 1522-2594
pISSN - 0740-3194
DOI - 10.1002/mrm.26143
Subject(s) - diffusion mri , effective diffusion coefficient , infiltration (hvac) , imaging phantom , magnetic resonance imaging , nuclear magnetic resonance , immune system , pathology , biomedical engineering , medicine , materials science , physics , nuclear medicine , radiology , immunology , composite material
Purpose Diffusion MRI provides a noninvasive way to assess tissue microstructure. Based on diffusion MRI, we propose a model‐free method called restricted diffusion imaging (RDI) to quantify restricted diffusion and correlate it with cellularity. Theory and Methods An analytical relation between q‐space signals and the density of restricted spins was derived to quantify restricted diffusion. A phantom study was conducted to investigate the performance of RDI, and RDI was applied to an animal study to assess immune cell infiltration in myocardial tissues with ischemia‐reperfusion injury. Results Our phantom study showed a correlation coefficient of 0.998 between cell density and the restricted diffusion quantified by RDI. The animal study also showed that the high‐value regions in RDI matched well with the macrophage infiltration areas in the H&E stained slides. In comparison with diffusion tensor imaging (DTI), RDI exhibited its outperformance to detect macrophage infiltration and delineate inflammatory myocardium. Conclusion RDI can be used to reveal cell density and detect immune cell infiltration. RDI exhibits better specificity than the diffusivity measurement derived from DTI. Magn Reson Med 77:603–612, 2017. © 2016 International Society for Magnetic Resonance in Medicine

This content is not available in your region!

Continue researching here.

Having issues? You can contact us here