2022
DOI: 10.3389/fphy.2021.793966
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Massively Multidimensional Diffusion-Relaxation Correlation MRI

Abstract: Diverse approaches such as oscillating gradients, tensor-valued encoding, and diffusion-relaxation correlation have been used to study microstructure and heterogeneity in healthy and pathological biological tissues. Recently, acquisition schemes with free gradient waveforms exploring both the frequency-dependent and tensorial aspects of the encoding spectrum b(ω) have enabled estimation of nonparametric distributions of frequency-dependent diffusion tensors. These “D(ω)-distributions” allow investigation of re… Show more

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Cited by 14 publications
(29 citation statements)
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“…Like the diffusion tensor, QTI is a signal representation [36]. There are other interesting avenues of analysis like Diffusion Tensor Distribution imaging [37] that can extract direct DTD features or even extend it to multidimensional MRI analysis to capture relaxometry effects [38,39]. Approaches with biophysical models using b-tensor encoding [40,41] can be used to extract microstructural properties that cannot be obtained without strong modeling assumptions using single diffusion encoding acquisitions.…”
Section: Discussionmentioning
confidence: 99%
“…Like the diffusion tensor, QTI is a signal representation [36]. There are other interesting avenues of analysis like Diffusion Tensor Distribution imaging [37] that can extract direct DTD features or even extend it to multidimensional MRI analysis to capture relaxometry effects [38,39]. Approaches with biophysical models using b-tensor encoding [40,41] can be used to extract microstructural properties that cannot be obtained without strong modeling assumptions using single diffusion encoding acquisitions.…”
Section: Discussionmentioning
confidence: 99%
“…We expect this to also be the case for tumor-related hyperintensities in T2w images but are not aware of any detailed analysis. Note that diffusion-relaxometry techniques could be of interest here to add microstructure specificity ( De Almeida Martins and Topgaard, 2018 ; Slator et al, 2021 ; Narvaez et al, 2022 ). This was, however, outside the aim of the present work, which was to study the contrast mechanism provided by STE-DWI without modeling or optimizing the imaging protocol.…”
Section: Discussionmentioning
confidence: 99%
“…By numerical optimizations to maximize the b-value for given gradient strength Sjölund et al, 2015), mitigating image artifacts from eddy currents (Yang and McNab, 2019) and concomitant gradients (Szczepankiewicz et al, 2019), and further minimizing side-lobes in the encoding spectra (Hennel et al, 2020), we anticipate that the waveforms may be adapted for human in vivo studies. The merging of oscillating gradients (Aggarwal, 2020) and tensor-valued encoding (Reymbaut, 2020) into a common acquisition protocol encourages further development of a joint analysis framework, for instance by augmenting current nonparametric diffusion tensor distributions (Topgaard, 2019a) with a Lorentzian frequency dimension (Narvaez et al, 2021;Narvaez et al, 2022) or building on the concept of confinement tensors (Yolcu et al, 2016;Boito et al, 2022).…”
Section: Discussionmentioning
confidence: 99%