Ting Gong, Merlin J. Fair, Kawin Setsompop, Hui Zhang
{"title":"Compartment-specific estimation of T2 and T2* with diffusion-PEPTIDE MRI","authors":"Ting Gong, Merlin J. Fair, Kawin Setsompop, Hui Zhang","doi":"arxiv-2408.10432","DOIUrl":null,"url":null,"abstract":"We present a microstructure imaging technique for estimating\ncompartment-specific T2 and T2* simultaneously in the human brain.\nMicrostructure imaging with diffusion MRI (dMRI) has enabled the modelling of\nintra-neurite and extra-neurite diffusion signals separately allowing for the\nestimation of compartment-specific tissue properties. These\ncompartment-specific properties have been widely used in clinical studies.\nHowever, conventional dMRI cannot disentangle differences in relaxations\nbetween tissue compartments, causing biased estimates of diffusion measures\nwhich also change with TE. To solve the problem, combined relaxometry-diffusion\nimaging methods have been developed in recent years, providing compartmental\nT2-diffusion or T2*-diffusion imaging respectively, but not T2 and T2*\ntogether. As they provide complementary information, a technique that can\nestimate both jointly with diffusion is appealing to neuroimaging studies. The\naim of this work is to develop a method to map compartmental T2-T2*-diffusion\nsimultaneously. Using an advanced MRI acquisition called diffusion-PEPTIDE, a\nnovel microstructure model is proposed and a multi-step fitting method is\ndeveloped to estimate parameters of interest. We demonstrate for the first time\nthat compartmental T2, T2* can be estimated simultaneously from in vivo data.\nwe further show the accuracy and precision of parameter estimation with\nsimulation.","PeriodicalId":501378,"journal":{"name":"arXiv - PHYS - Medical Physics","volume":"76 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-08-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"arXiv - PHYS - Medical Physics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/arxiv-2408.10432","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
We present a microstructure imaging technique for estimating
compartment-specific T2 and T2* simultaneously in the human brain.
Microstructure imaging with diffusion MRI (dMRI) has enabled the modelling of
intra-neurite and extra-neurite diffusion signals separately allowing for the
estimation of compartment-specific tissue properties. These
compartment-specific properties have been widely used in clinical studies.
However, conventional dMRI cannot disentangle differences in relaxations
between tissue compartments, causing biased estimates of diffusion measures
which also change with TE. To solve the problem, combined relaxometry-diffusion
imaging methods have been developed in recent years, providing compartmental
T2-diffusion or T2*-diffusion imaging respectively, but not T2 and T2*
together. As they provide complementary information, a technique that can
estimate both jointly with diffusion is appealing to neuroimaging studies. The
aim of this work is to develop a method to map compartmental T2-T2*-diffusion
simultaneously. Using an advanced MRI acquisition called diffusion-PEPTIDE, a
novel microstructure model is proposed and a multi-step fitting method is
developed to estimate parameters of interest. We demonstrate for the first time
that compartmental T2, T2* can be estimated simultaneously from in vivo data.
we further show the accuracy and precision of parameter estimation with
simulation.