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Combined diffusion-relaxometry microstructure imaging: Current status and future prospects.
Slator, Paddy J; Palombo, Marco; Miller, Karla L; Westin, Carl-Fredrik; Laun, Frederik; Kim, Daeun; Haldar, Justin P; Benjamini, Dan; Lemberskiy, Gregory; de Almeida Martins, Joao P; Hutter, Jana.
Afiliación
  • Slator PJ; Centre for Medical Image Computing, Department of Computer Science, University College London, London, UK.
  • Palombo M; Centre for Medical Image Computing, Department of Computer Science, University College London, London, UK.
  • Miller KL; Wellcome Centre for Integrative Neuroimaging, FMRIB, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK.
  • Westin CF; Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
  • Laun F; Institute of Radiology, University Hospital Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Erlangen, Germany.
  • Kim D; Ming Hsieh Department of Electrical and Computer Engineering, University of Southern California, Los Angeles, CA, USA.
  • Haldar JP; Signal and Image Processing Institute, University of Southern California, Los Angeles, CA, USA.
  • Benjamini D; Ming Hsieh Department of Electrical and Computer Engineering, University of Southern California, Los Angeles, CA, USA.
  • Lemberskiy G; Signal and Image Processing Institute, University of Southern California, Los Angeles, CA, USA.
  • de Almeida Martins JP; The Eunice Kennedy Shriver National Institute of Child Health and Human Development, Bethesda, MD, USA.
  • Hutter J; The Center for Neuroscience and Regenerative Medicine, Uniformed Service University of the Health Sciences, Bethesda, MD, USA.
Magn Reson Med ; 86(6): 2987-3011, 2021 12.
Article en En | MEDLINE | ID: mdl-34411331
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, T1 , T2 , and T2∗ . 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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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Encéfalo / Imagen de Difusión por Resonancia Magnética Idioma: En Revista: Magn Reson Med Asunto de la revista: DIAGNOSTICO POR IMAGEM Año: 2021 Tipo del documento: Article País de afiliación: Reino Unido

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Encéfalo / Imagen de Difusión por Resonancia Magnética Idioma: En Revista: Magn Reson Med Asunto de la revista: DIAGNOSTICO POR IMAGEM Año: 2021 Tipo del documento: Article País de afiliación: Reino Unido