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Combined diffusion-relaxometry microstructure imaging: Current status and future prospects

期刊

MAGNETIC RESONANCE IN MEDICINE
卷 86, 期 6, 页码 2987-3011

出版社

WILEY
DOI: 10.1002/mrm.28963

关键词

diffusion; multidimensional MRI; quantitative MRI; relaxometry

资金

  1. NIH Human Placenta Project [1U01HD087202-01]
  2. Wellcome EPSRC Centre for Medical Engineering at Kings College London [WT 203148/Z/16/Z]
  3. National Institute for Health Research (NIHR) Biomedical Research Centre based at Guy's and St Thomas' NHS Foundation Trust
  4. Kings' College London
  5. NIHR Biomedical Research Centre at University College London Hospitals NHS Foundation Trust
  6. University College London

向作者/读者索取更多资源

This article discusses an emerging paradigm in microstructure imaging that combines diffusion-relaxometry imaging to provide a more detailed assessment of tissue microstructure. By varying multiple MR contrast encodings in a multidimensional acquisition space, correlations and coupling between multiple MR parameters can be quantified, enabling the disentangling of multiple tissue compartments within voxels. This allows for the creation of new generation microstructural maps with improved biological sensitivity and specificity.
Microstructure imaging seeks to noninvasively measure and map microscopic tissue features by pairing mathematical modeling with tailored MRI protocols. This article reviews an emerging paradigm that has the potential to provide a more detailed assessment of tissue microstructure-combined diffusion-relaxometry imaging. Combined diffusion-relaxometry acquisitions vary multiple MR contrast encodings-such as b-value, gradient direction, inversion time, and echo time-in a multidimensional acquisition space. When paired with suitable analysis techniques, this enables quantification of correlations and coupling between multiple MR parameters-such as diffusivity, T-1, T-2, and T-2*. This opens the possibility of disentangling multiple tissue compartments (within voxels) that are indistinguishable with single-contrast scans, enabling a new generation of microstructural maps with improved biological sensitivity and specificity.

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