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Full-Harmonics Phasor Analysis: Unravelling Multiexponential Trends in Magnetic Resonance Imaging Data
Author(s) -
Wouter M. J. Franssen,
Frank J. Vergeldt,
Arjen N. Bader,
Herbert van Amerongen,
Camilla Terenzi
Publication year - 2020
Publication title -
the journal of physical chemistry letters
Language(s) - Uncategorized
Resource type - Journals
SCImago Journal Rank - 2.563
H-Index - 203
ISSN - 1948-7185
DOI - 10.1021/acs.jpclett.0c02319
Subject(s) - phasor , harmonics , fourier transform , frequency domain , noise (video) , biological system , spherical harmonics , fourier analysis , nuclear magnetic resonance , physics , computer science , artificial intelligence , computer vision , image (mathematics) , biology , power (physics) , electric power system , quantum mechanics , voltage
Phasor analysis is a robust, nonfitting, method for the study of multiexponential decays in lifetime imaging data, routinely used in Fluorescence Lifetime Imaging Microscopy (FLIM) and only recently validated for Magnetic Resonance Imaging (MRI). In the established phasor approach, typically only the first Fourier harmonic is used to unravel time-domain exponential trends and their intercorrelations across image voxels. Here, we demonstrate the potential of full -harmonics (FH) phasor analysis by using all frequency-domain data points in simulations and quantitative MRI (qMRI) T 2 measurements of phantoms with bulk liquids or liquid-filled porous particles and of a human brain. We show that FH analysis, while of limited advantage in FLIM due to the correlated nature of shot noise, in MRI outperforms single-harmonic phasor in unravelling multiple physical environments and partial-volume effects otherwise undiscernible. We foresee application of FH phasor to, e.g., big-data analysis in qMRI of biological or other multiphase systems, where multiparameter fitting is unfeasible.

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