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A Novel Multiparametric Approach to 3D Quantitative MRI of the Brain
Magnetic Resonance properties of tissues can be quantified in several respects: relaxation processes, density of imaged nuclei, magnetism of environmental molecules, etc. In this paper, we propose a new comprehensive approach to obtain 3D high resolution quantitative maps of arbitrary body districts...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4540440/ https://www.ncbi.nlm.nih.gov/pubmed/26284778 http://dx.doi.org/10.1371/journal.pone.0134963 |
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author | Palma, Giuseppe Tedeschi, Enrico Borrelli, Pasquale Cocozza, Sirio Russo, Carmela Liu, Saifeng Ye, Yongquan Comerci, Marco Alfano, Bruno Salvatore, Marco Haacke, E. Mark Mancini, Marcello |
author_facet | Palma, Giuseppe Tedeschi, Enrico Borrelli, Pasquale Cocozza, Sirio Russo, Carmela Liu, Saifeng Ye, Yongquan Comerci, Marco Alfano, Bruno Salvatore, Marco Haacke, E. Mark Mancini, Marcello |
author_sort | Palma, Giuseppe |
collection | PubMed |
description | Magnetic Resonance properties of tissues can be quantified in several respects: relaxation processes, density of imaged nuclei, magnetism of environmental molecules, etc. In this paper, we propose a new comprehensive approach to obtain 3D high resolution quantitative maps of arbitrary body districts, mainly focusing on the brain. The theory presented makes it possible to map longitudinal (R (1)), pure transverse (R (2)) and free induction decay ([Image: see text] ) rates, along with proton density (PD) and magnetic susceptibility (χ), from a set of fast acquisition sequences in steady-state that are highly insensitive to flow phenomena. A novel denoising scheme is described and applied to the acquired datasets to enhance the signal to noise ratio of the derived maps and an information theory approach compensates for biases from radio frequency (RF) inhomogeneities, if no direct measure of the RF field is available. Finally, the results obtained on sample brain scans of healthy controls and multiple sclerosis patients are presented and discussed. |
format | Online Article Text |
id | pubmed-4540440 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-45404402015-08-24 A Novel Multiparametric Approach to 3D Quantitative MRI of the Brain Palma, Giuseppe Tedeschi, Enrico Borrelli, Pasquale Cocozza, Sirio Russo, Carmela Liu, Saifeng Ye, Yongquan Comerci, Marco Alfano, Bruno Salvatore, Marco Haacke, E. Mark Mancini, Marcello PLoS One Research Article Magnetic Resonance properties of tissues can be quantified in several respects: relaxation processes, density of imaged nuclei, magnetism of environmental molecules, etc. In this paper, we propose a new comprehensive approach to obtain 3D high resolution quantitative maps of arbitrary body districts, mainly focusing on the brain. The theory presented makes it possible to map longitudinal (R (1)), pure transverse (R (2)) and free induction decay ([Image: see text] ) rates, along with proton density (PD) and magnetic susceptibility (χ), from a set of fast acquisition sequences in steady-state that are highly insensitive to flow phenomena. A novel denoising scheme is described and applied to the acquired datasets to enhance the signal to noise ratio of the derived maps and an information theory approach compensates for biases from radio frequency (RF) inhomogeneities, if no direct measure of the RF field is available. Finally, the results obtained on sample brain scans of healthy controls and multiple sclerosis patients are presented and discussed. Public Library of Science 2015-08-18 /pmc/articles/PMC4540440/ /pubmed/26284778 http://dx.doi.org/10.1371/journal.pone.0134963 Text en © 2015 Palma et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited. |
spellingShingle | Research Article Palma, Giuseppe Tedeschi, Enrico Borrelli, Pasquale Cocozza, Sirio Russo, Carmela Liu, Saifeng Ye, Yongquan Comerci, Marco Alfano, Bruno Salvatore, Marco Haacke, E. Mark Mancini, Marcello A Novel Multiparametric Approach to 3D Quantitative MRI of the Brain |
title | A Novel Multiparametric Approach to 3D Quantitative MRI of the Brain |
title_full | A Novel Multiparametric Approach to 3D Quantitative MRI of the Brain |
title_fullStr | A Novel Multiparametric Approach to 3D Quantitative MRI of the Brain |
title_full_unstemmed | A Novel Multiparametric Approach to 3D Quantitative MRI of the Brain |
title_short | A Novel Multiparametric Approach to 3D Quantitative MRI of the Brain |
title_sort | novel multiparametric approach to 3d quantitative mri of the brain |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4540440/ https://www.ncbi.nlm.nih.gov/pubmed/26284778 http://dx.doi.org/10.1371/journal.pone.0134963 |
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