Clinical Research with Advanced Diffusion Encoding Methods in MRI
(2020) In New Developments in NMR 2020-January(24). p.406-429- Abstract
This chapter offers a comprehensive summary of applications of advanced diffusion encoding methods in MRI within a narrowly defined area of in vivo human measurements with imaging read-out and voxel-by-voxel data analysis. The list of methods comprises tensor-valued encoding to investigate cell densities, shapes, and orientations in heterogeneous tissues, time/frequency-dependent encoding for estimating structural length scales, adjustable velocity-encoding to monitor flow in the microcapillary network, double encoding with varying mixing times to assess diffusional exchange between distinct tissue microenvironments and across cell membranes, and relaxation-diffusion correlation to resolve and separately characterize tissue... (More)
This chapter offers a comprehensive summary of applications of advanced diffusion encoding methods in MRI within a narrowly defined area of in vivo human measurements with imaging read-out and voxel-by-voxel data analysis. The list of methods comprises tensor-valued encoding to investigate cell densities, shapes, and orientations in heterogeneous tissues, time/frequency-dependent encoding for estimating structural length scales, adjustable velocity-encoding to monitor flow in the microcapillary network, double encoding with varying mixing times to assess diffusional exchange between distinct tissue microenvironments and across cell membranes, and relaxation-diffusion correlation to resolve and separately characterize tissue microenvironments in terms of their local chemical composition and microstructure. The shown examples include proof-of-concept measurements on healthy volunteers, pilot investigations of pathologies, and clinical research involving 10-100 subjects. Studied organs include brain, breast, prostate, liver, kidney, placenta, muscle, and peripheral nerve, with examples of pathologies from tumors, schizophrenia, multiple sclerosis, stroke, neurocysticercosis, pre-eclampsia, and chronic exertional compartment syndrome.
(Less)
- author
- organization
- publishing date
- 2020
- type
- Chapter in Book/Report/Conference proceeding
- publication status
- published
- subject
- host publication
- Advanced Diffusion Encoding Methods in MRI
- series title
- New Developments in NMR
- editor
- Topgaard, Daniel
- volume
- 2020-January
- issue
- 24
- pages
- 24 pages
- publisher
- Royal Society of Chemistry
- external identifiers
-
- scopus:85095713734
- ISSN
- 2044-2548
- 2044-253X
- DOI
- 10.1039/9781788019910-00406
- language
- English
- LU publication?
- yes
- id
- 239a144b-4efe-4418-a9dd-701effc97b0b
- date added to LUP
- 2020-11-26 15:10:27
- date last changed
- 2024-09-19 10:05:57
@inbook{239a144b-4efe-4418-a9dd-701effc97b0b, abstract = {{<p>This chapter offers a comprehensive summary of applications of advanced diffusion encoding methods in MRI within a narrowly defined area of in vivo human measurements with imaging read-out and voxel-by-voxel data analysis. The list of methods comprises tensor-valued encoding to investigate cell densities, shapes, and orientations in heterogeneous tissues, time/frequency-dependent encoding for estimating structural length scales, adjustable velocity-encoding to monitor flow in the microcapillary network, double encoding with varying mixing times to assess diffusional exchange between distinct tissue microenvironments and across cell membranes, and relaxation-diffusion correlation to resolve and separately characterize tissue microenvironments in terms of their local chemical composition and microstructure. The shown examples include proof-of-concept measurements on healthy volunteers, pilot investigations of pathologies, and clinical research involving 10-100 subjects. Studied organs include brain, breast, prostate, liver, kidney, placenta, muscle, and peripheral nerve, with examples of pathologies from tumors, schizophrenia, multiple sclerosis, stroke, neurocysticercosis, pre-eclampsia, and chronic exertional compartment syndrome. </p>}}, author = {{Reymbaut, A. and Zheng, Y. and Li, S. and Sun, W. and Xu, H. and Daimiel Naranjo, I. and Thakur, S. and Pinker-Domenig, K. and Rajan, S. and Vanugopal, V. K. and Mahajan, V. and Mahajan, H. and Critchley, J. and Durighel, G. and Sughrue, M. and Bryskhe, K. and Topgaard, D.}}, booktitle = {{Advanced Diffusion Encoding Methods in MRI}}, editor = {{Topgaard, Daniel}}, issn = {{2044-2548}}, language = {{eng}}, number = {{24}}, pages = {{406--429}}, publisher = {{Royal Society of Chemistry}}, series = {{New Developments in NMR}}, title = {{Clinical Research with Advanced Diffusion Encoding Methods in MRI}}, url = {{http://dx.doi.org/10.1039/9781788019910-00406}}, doi = {{10.1039/9781788019910-00406}}, volume = {{2020-January}}, year = {{2020}}, }