Predicting Mesoscopic Larmor Frequency Shifts in White Matter With Diffusion MRI-A Monte Carlo Study in Axonal Phantoms

被引:0
作者
Sandgaard, Anders Dyhr [1 ]
Jespersen, Sune Norhoj [1 ,2 ]
机构
[1] Aarhus Univ, Ctr Functionally Integrat Neurosci, Dept Clin Med, Aarhus, Denmark
[2] Aarhus Univ, Dept Phys & Astron, Aarhus, Denmark
关键词
diffusion; Larmor frequency; magnetic susceptibility; microstructure; Monte Carlo; transverse relaxation; HIGH-FIELD MRI; MYELIN WATER; IN-VIVO; SIMULATION; IRON; RELAXATION; SIGNAL; ENVIRONMENT; MODEL;
D O I
10.1002/nbm.70004
中图分类号
Q6 [生物物理学];
学科分类号
071011 ;
摘要
Magnetic susceptibility MRI offers potential insights into the chemical composition and microstructural organization of tissue. However, estimating magnetic susceptibility in white matter is challenging due to anisotropic subvoxel Larmor frequency shifts caused by axonal microstructure relative to the B0 field orientation. Recent biophysical models have analytically described how axonal microstructure influences the Larmor frequency shifts, relating these shifts to a mesoscopically averaged magnetic field that depends on the axons' fiber orientation distribution function (fODF), typically estimated using diffusion MRI. This study is aimed at validating the use of MRI to estimate mesoscopic magnetic fields and determining whether diffusion MRI can faithfully estimate the orientation dependence of the Larmor frequency shift in realistic axonal microstructure. To achieve this, we developed a framework for performing Monte Carlo simulations of MRI signals in mesoscopically sized white matter axon substrates segmented with electron microscopy. Our simulations demonstrated that with careful experimental design, it is feasible to estimate mesoscopic magnetic fields. Additionally, the fODF estimated by the standard model of diffusion in white matter could predict the orientation dependence of the mesoscopic Larmor frequency shift. We also found that incorporating the intra-axonal axial kurtosis into the standard model could explain a significant amount of signal variance, thereby improving the estimation of the Larmor frequency shift. This factor should not be neglected when fitting the standard model.
引用
收藏
页数:17
相关论文
共 89 条
[1]   DeepACSON automated segmentation of white matter in 3D electron microscopy [J].
Abdollahzadeh, Ali ;
Belevich, Ilya ;
Jokitalo, Eija ;
Sierra, Alejandra ;
Tohka, Jussi .
COMMUNICATIONS BIOLOGY, 2021, 4 (01)
[2]   Automated 3D Axonal Morphometry of White Matter [J].
Abdollahzadeh, Ali ;
Belevich, Ilya ;
Jokitalo, Eija ;
Tohka, Jussi ;
Sierra, Alejandra .
SCIENTIFIC REPORTS, 2019, 9 (1)
[3]  
Anders Dyhr S., 2024, P ANN M ISMRM ONL C
[4]   Axon morphology is modulated by the local environment and impacts the noninvasive investigation of its structure-function relationship [J].
Andersson, Mariam ;
Kjer, Hans Martin ;
Rafael-Patino, Jonathan ;
Pacureanu, Alexandra ;
Pakkenberg, Bente ;
Thiran, Jean-Philippe ;
Ptito, Maurice ;
Bech, Martin ;
Dahl, Anders Bjorholm ;
Dahl, Vedrana Andersen ;
Dyrby, Tim B. .
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 2020, 117 (52) :33649-33659
[5]   THE NMR SELF-DIFFUSION METHOD APPLIED TO RESTRICTED DIFFUSION - SIMULATION OF ECHO ATTENUATION FROM MOLECULES IN SPHERES AND BETWEEN PLANES [J].
BALINOV, B ;
JONSSON, B ;
LINSE, P ;
SODERMAN, O .
JOURNAL OF MAGNETIC RESONANCE SERIES A, 1993, 104 (01) :17-25
[6]   A Simulation Environment for Diffusion Weighted MR Experiments in Complex Media [J].
Balls, Gregory T. ;
Frank, Lawrence R. .
MAGNETIC RESONANCE IN MEDICINE, 2009, 62 (03) :771-778
[7]   White matter tract integrity metrics reflect the vulnerability of late-myelinating tracts in Alzheimer's disease [J].
Benitez, Andreana ;
Fieremans, Els ;
Jensen, Jens H. ;
Falangola, Maria F. ;
Tabesh, Ali ;
Ferris, Steven H. ;
Helpern, Joseph A. .
NEUROIMAGE-CLINICAL, 2014, 4 :64-71
[8]   Measuring the iron content of dopaminergic neurons in substantia nigra with MRI relaxometry [J].
Brammerloh, Malte ;
Morawski, Markus ;
Friedrich, Isabel ;
Reinert, Tilo ;
Lange, Charlotte ;
Pelicon, Primoz ;
Vavpetic, Primoz ;
Jankuhn, Steffen ;
Jaeger, Carsten ;
Alkemade, Anneke ;
Balesar, Rawien ;
Pine, Kerrin ;
Gavriilidis, Filippos ;
Trampel, Robert ;
Reimer, Enrico ;
Arendt, Thomas ;
Weiskopf, Nikolaus ;
Kirilina, Evgeniya .
NEUROIMAGE, 2021, 239
[9]   ConFiG: Contextual Fibre Growth to generate realistic axonal packing for diffusion MRI simulation [J].
Callaghan, Ross ;
Alexander, Daniel C. ;
Palombo, Marco ;
Zhang, Hui .
NEUROIMAGE, 2020, 220
[10]   Decompose quantitative susceptibility mapping (QSM) to sub-voxel diamagnetic and paramagnetic components based on gradient-echo MRI data [J].
Chen, Jingjia ;
Gong, Nan-Jie ;
Chaim, Khallil Taverna ;
Garcia Otaduy, Maria Concepcion ;
Liu, Chunlei .
NEUROIMAGE, 2021, 242