Combined diffusion-relaxometry microstructure imaging : Current status and future prospects
(2021) In Magnetic Resonance in Medicine 86(6). p.2987-3011- Abstract
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, (Formula presented.), (Formula presented.), and (Formula presented.). This opens... (More)
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, (Formula presented.), (Formula presented.), and (Formula presented.). 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.
(Less)
- author
- organization
- publishing date
- 2021
- type
- Contribution to journal
- publication status
- published
- subject
- keywords
- diffusion, multidimensional MRI, quantitative MRI, relaxometry
- in
- Magnetic Resonance in Medicine
- volume
- 86
- issue
- 6
- pages
- 25 pages
- publisher
- John Wiley & Sons Inc.
- external identifiers
-
- pmid:34411331
- scopus:85112849426
- ISSN
- 0740-3194
- DOI
- 10.1002/mrm.28963
- language
- English
- LU publication?
- yes
- id
- c454a7ad-af45-4dff-9b26-943cda5ab9be
- date added to LUP
- 2021-12-09 15:43:44
- date last changed
- 2024-09-08 06:25:54
@article{c454a7ad-af45-4dff-9b26-943cda5ab9be, abstract = {{<p>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, (Formula presented.), (Formula presented.), and (Formula presented.). 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.</p>}}, author = {{Slator, Paddy J. and Palombo, Marco and Miller, Karla L. and Westin, Carl Fredrik and Laun, Frederik and Kim, Daeun and Haldar, Justin P. and Benjamini, Dan and Lemberskiy, Gregory and de Almeida Martins, Joao P. and Hutter, Jana}}, issn = {{0740-3194}}, keywords = {{diffusion; multidimensional MRI; quantitative MRI; relaxometry}}, language = {{eng}}, number = {{6}}, pages = {{2987--3011}}, publisher = {{John Wiley & Sons Inc.}}, series = {{Magnetic Resonance in Medicine}}, title = {{Combined diffusion-relaxometry microstructure imaging : Current status and future prospects}}, url = {{http://dx.doi.org/10.1002/mrm.28963}}, doi = {{10.1002/mrm.28963}}, volume = {{86}}, year = {{2021}}, }