Brain Viscoelasticity Alteration in Chronic-Progressive Multiple Sclerosis
Viscoelastic properties indicate structural alterations in biological tissues at multiple scales with high sensitivity. Magnetic Resonance Elastography (MRE) is a novel technique that directly visualizes and quantitatively measures biomechanical tissue properties in vivo. MRE recently revealed that...
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| Published in | PloS one Vol. 7; no. 1; p. e29888 |
|---|---|
| Main Authors | , , , , , , |
| Format | Journal Article |
| Language | English |
| Published |
United States
Public Library of Science
20.01.2012
Public Library of Science (PLoS) |
| Subjects | |
| Online Access | Get full text |
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| Abstract | Viscoelastic properties indicate structural alterations in biological tissues at multiple scales with high sensitivity. Magnetic Resonance Elastography (MRE) is a novel technique that directly visualizes and quantitatively measures biomechanical tissue properties in vivo. MRE recently revealed that early relapsing-remitting multiple sclerosis (MS) is associated with a global decrease of the cerebral mechanical integrity. This study addresses MRE and MR volumetry in chronic-progressive disease courses of MS.
We determined viscoelastic parameters of the brain parenchyma in 23 MS patients with primary or secondary chronic progressive disease course in comparison to 38 age- and gender-matched healthy individuals by multifrequency MRE, and correlated the results with clinical data, T2 lesion load and brain volume. Two viscoelastic parameters, the shear elasticity μ and the powerlaw exponent α, were deduced according to the springpot model and compared to literature values of relapsing-remitting MS.
In chronic-progressive MS patients, μ and α were reduced by 20.5% and 6.1%, respectively, compared to healthy controls. MR volumetry yielded a weaker correlation: Total brain volume loss in MS patients was in the range of 7.5% and 1.7% considering the brain parenchymal fraction. All findings were significant (P<0.001).
Chronic-progressive MS disease courses show a pronounced reduction of the cerebral shear elasticity compared to early relapsing-remitting disease. The powerlaw exponent α decreased only in the chronic-progressive stage of MS, suggesting an alteration in the geometry of the cerebral mechanical network due to chronic neuroinflammation. |
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| AbstractList | Introduction Viscoelastic properties indicate structural alterations in biological tissues at multiple scales with high sensitivity. Magnetic Resonance Elastography (MRE) is a novel technique that directly visualizes and quantitatively measures biomechanical tissue properties in vivo. MRE recently revealed that early relapsing-remitting multiple sclerosis (MS) is associated with a global decrease of the cerebral mechanical integrity. This study addresses MRE and MR volumetry in chronic-progressive disease courses of MS. Methods We determined viscoelastic parameters of the brain parenchyma in 23 MS patients with primary or secondary chronic progressive disease course in comparison to 38 age- and gender-matched healthy individuals by multifrequency MRE, and correlated the results with clinical data, T2 lesion load and brain volume. Two viscoelastic parameters, the shear elasticity [mu] and the powerlaw exponent [alpha], were deduced according to the springpot model and compared to literature values of relapsing-remitting MS. Results In chronic-progressive MS patients, [mu] and [alpha] were reduced by 20.5% and 6.1%, respectively, compared to healthy controls. MR volumetry yielded a weaker correlation: Total brain volume loss in MS patients was in the range of 7.5% and 1.7% considering the brain parenchymal fraction. All findings were significant (P<0.001). Conclusions Chronic-progressive MS disease courses show a pronounced reduction of the cerebral shear elasticity compared to early relapsing-remitting disease. The powerlaw exponent [alpha] decreased only in the chronic-progressive stage of MS, suggesting an alteration in the geometry of the cerebral mechanical network due to chronic neuroinflammation. Introduction Viscoelastic properties indicate structural alterations in biological tissues at multiple scales with high sensitivity. Magnetic Resonance Elastography (MRE) is a novel technique that directly visualizes and quantitatively measures biomechanical tissue properties in vivo. MRE recently revealed that early relapsing-remitting multiple sclerosis (MS) is associated with a global decrease of the cerebral mechanical integrity. This study addresses MRE and MR volumetry in chronic-progressive disease courses of MS. Methods We determined viscoelastic parameters of the brain parenchyma in 23 MS patients with primary or secondary chronic progressive disease course in comparison to 38 age- and gender-matched healthy individuals by multifrequency MRE, and correlated the results with clinical data, T2 lesion load and brain volume. Two viscoelastic parameters, the shear elasticity μ and the powerlaw exponent α, were deduced according to the springpot model and compared to literature values of relapsing-remitting MS. Results In chronic-progressive MS patients, μ and α were reduced by 20.5% and 6.1%, respectively, compared to healthy controls. MR volumetry yielded a weaker correlation: Total brain volume loss in MS patients was in the range of 7.5% and 1.7% considering the brain parenchymal fraction. All findings were significant (P<0.001). Conclusions Chronic-progressive MS disease courses show a pronounced reduction of the cerebral shear elasticity compared to early relapsing-remitting disease. The powerlaw exponent α decreased only in the chronic-progressive stage of MS, suggesting an alteration in the geometry of the cerebral mechanical network due to chronic neuroinflammation. Viscoelastic properties indicate structural alterations in biological tissues at multiple scales with high sensitivity. Magnetic Resonance Elastography (MRE) is a novel technique that directly visualizes and quantitatively measures biomechanical tissue properties in vivo. MRE recently revealed that early relapsing-remitting multiple sclerosis (MS) is associated with a global decrease of the cerebral mechanical integrity. This study addresses MRE and MR volumetry in chronic-progressive disease courses of MS. We determined viscoelastic parameters of the brain parenchyma in 23 MS patients with primary or secondary chronic progressive disease course in comparison to 38 age- and gender-matched healthy individuals by multifrequency MRE, and correlated the results with clinical data, T2 lesion load and brain volume. Two viscoelastic parameters, the shear elasticity [mu] and the powerlaw exponent [alpha], were deduced according to the springpot model and compared to literature values of relapsing-remitting MS. In chronic-progressive MS patients, [mu] and [alpha] were reduced by 20.5% and 6.1%, respectively, compared to healthy controls. MR volumetry yielded a weaker correlation: Total brain volume loss in MS patients was in the range of 7.5% and 1.7% considering the brain parenchymal fraction. All findings were significant (P<0.001). Chronic-progressive MS disease courses show a pronounced reduction of the cerebral shear elasticity compared to early relapsing-remitting disease. The powerlaw exponent [alpha] decreased only in the chronic-progressive stage of MS, suggesting an alteration in the geometry of the cerebral mechanical network due to chronic neuroinflammation. Viscoelastic properties indicate structural alterations in biological tissues at multiple scales with high sensitivity. Magnetic Resonance Elastography (MRE) is a novel technique that directly visualizes and quantitatively measures biomechanical tissue properties in vivo. MRE recently revealed that early relapsing-remitting multiple sclerosis (MS) is associated with a global decrease of the cerebral mechanical integrity. This study addresses MRE and MR volumetry in chronic-progressive disease courses of MS.INTRODUCTIONViscoelastic properties indicate structural alterations in biological tissues at multiple scales with high sensitivity. Magnetic Resonance Elastography (MRE) is a novel technique that directly visualizes and quantitatively measures biomechanical tissue properties in vivo. MRE recently revealed that early relapsing-remitting multiple sclerosis (MS) is associated with a global decrease of the cerebral mechanical integrity. This study addresses MRE and MR volumetry in chronic-progressive disease courses of MS.We determined viscoelastic parameters of the brain parenchyma in 23 MS patients with primary or secondary chronic progressive disease course in comparison to 38 age- and gender-matched healthy individuals by multifrequency MRE, and correlated the results with clinical data, T2 lesion load and brain volume. Two viscoelastic parameters, the shear elasticity μ and the powerlaw exponent α, were deduced according to the springpot model and compared to literature values of relapsing-remitting MS.METHODSWe determined viscoelastic parameters of the brain parenchyma in 23 MS patients with primary or secondary chronic progressive disease course in comparison to 38 age- and gender-matched healthy individuals by multifrequency MRE, and correlated the results with clinical data, T2 lesion load and brain volume. Two viscoelastic parameters, the shear elasticity μ and the powerlaw exponent α, were deduced according to the springpot model and compared to literature values of relapsing-remitting MS.In chronic-progressive MS patients, μ and α were reduced by 20.5% and 6.1%, respectively, compared to healthy controls. MR volumetry yielded a weaker correlation: Total brain volume loss in MS patients was in the range of 7.5% and 1.7% considering the brain parenchymal fraction. All findings were significant (P<0.001).RESULTSIn chronic-progressive MS patients, μ and α were reduced by 20.5% and 6.1%, respectively, compared to healthy controls. MR volumetry yielded a weaker correlation: Total brain volume loss in MS patients was in the range of 7.5% and 1.7% considering the brain parenchymal fraction. All findings were significant (P<0.001).Chronic-progressive MS disease courses show a pronounced reduction of the cerebral shear elasticity compared to early relapsing-remitting disease. The powerlaw exponent α decreased only in the chronic-progressive stage of MS, suggesting an alteration in the geometry of the cerebral mechanical network due to chronic neuroinflammation.CONCLUSIONSChronic-progressive MS disease courses show a pronounced reduction of the cerebral shear elasticity compared to early relapsing-remitting disease. The powerlaw exponent α decreased only in the chronic-progressive stage of MS, suggesting an alteration in the geometry of the cerebral mechanical network due to chronic neuroinflammation. Viscoelastic properties indicate structural alterations in biological tissues at multiple scales with high sensitivity. Magnetic Resonance Elastography (MRE) is a novel technique that directly visualizes and quantitatively measures biomechanical tissue properties in vivo. MRE recently revealed that early relapsing-remitting multiple sclerosis (MS) is associated with a global decrease of the cerebral mechanical integrity. This study addresses MRE and MR volumetry in chronic-progressive disease courses of MS. We determined viscoelastic parameters of the brain parenchyma in 23 MS patients with primary or secondary chronic progressive disease course in comparison to 38 age- and gender-matched healthy individuals by multifrequency MRE, and correlated the results with clinical data, T2 lesion load and brain volume. Two viscoelastic parameters, the shear elasticity μ and the powerlaw exponent α, were deduced according to the springpot model and compared to literature values of relapsing-remitting MS. In chronic-progressive MS patients, μ and α were reduced by 20.5% and 6.1%, respectively, compared to healthy controls. MR volumetry yielded a weaker correlation: Total brain volume loss in MS patients was in the range of 7.5% and 1.7% considering the brain parenchymal fraction. All findings were significant (P<0.001). Chronic-progressive MS disease courses show a pronounced reduction of the cerebral shear elasticity compared to early relapsing-remitting disease. The powerlaw exponent α decreased only in the chronic-progressive stage of MS, suggesting an alteration in the geometry of the cerebral mechanical network due to chronic neuroinflammation. Introduction Viscoelastic properties indicate structural alterations in biological tissues at multiple scales with high sensitivity. Magnetic Resonance Elastography (MRE) is a novel technique that directly visualizes and quantitatively measures biomechanical tissue properties in vivo . MRE recently revealed that early relapsing-remitting multiple sclerosis (MS) is associated with a global decrease of the cerebral mechanical integrity. This study addresses MRE and MR volumetry in chronic-progressive disease courses of MS. Methods We determined viscoelastic parameters of the brain parenchyma in 23 MS patients with primary or secondary chronic progressive disease course in comparison to 38 age- and gender-matched healthy individuals by multifrequency MRE, and correlated the results with clinical data, T2 lesion load and brain volume. Two viscoelastic parameters, the shear elasticity μ and the powerlaw exponent α , were deduced according to the springpot model and compared to literature values of relapsing-remitting MS. Results In chronic-progressive MS patients, μ and α were reduced by 20.5% and 6.1%, respectively, compared to healthy controls. MR volumetry yielded a weaker correlation: Total brain volume loss in MS patients was in the range of 7.5% and 1.7% considering the brain parenchymal fraction. All findings were significant (P<0.001). Conclusions Chronic-progressive MS disease courses show a pronounced reduction of the cerebral shear elasticity compared to early relapsing-remitting disease. The powerlaw exponent α decreased only in the chronic-progressive stage of MS, suggesting an alteration in the geometry of the cerebral mechanical network due to chronic neuroinflammation. IntroductionViscoelastic properties indicate structural alterations in biological tissues at multiple scales with high sensitivity. Magnetic Resonance Elastography (MRE) is a novel technique that directly visualizes and quantitatively measures biomechanical tissue properties in vivo. MRE recently revealed that early relapsing-remitting multiple sclerosis (MS) is associated with a global decrease of the cerebral mechanical integrity. This study addresses MRE and MR volumetry in chronic-progressive disease courses of MS.MethodsWe determined viscoelastic parameters of the brain parenchyma in 23 MS patients with primary or secondary chronic progressive disease course in comparison to 38 age- and gender-matched healthy individuals by multifrequency MRE, and correlated the results with clinical data, T2 lesion load and brain volume. Two viscoelastic parameters, the shear elasticity μ and the powerlaw exponent α, were deduced according to the springpot model and compared to literature values of relapsing-remitting MS.ResultsIn chronic-progressive MS patients, μ and α were reduced by 20.5% and 6.1%, respectively, compared to healthy controls. MR volumetry yielded a weaker correlation: Total brain volume loss in MS patients was in the range of 7.5% and 1.7% considering the brain parenchymal fraction. All findings were significant (P<0.001).ConclusionsChronic-progressive MS disease courses show a pronounced reduction of the cerebral shear elasticity compared to early relapsing-remitting disease. The powerlaw exponent α decreased only in the chronic-progressive stage of MS, suggesting an alteration in the geometry of the cerebral mechanical network due to chronic neuroinflammation. |
| Audience | Academic |
| Author | Pfüller, Caspar Braun, Jürgen Krefting, Dagmar Paul, Friedemann Streitberger, Kaspar-Josche Wuerfel, Jens Sack, Ingolf |
| AuthorAffiliation | 1 Department of Radiology, Charité – University Medicine Berlin, Berlin, Germany 4 Institute of Neuroradiology, University Luebeck, Luebeck, Germany 5 Clinical and Experimental Multiple Sclerosis Research Center, Charité - University Medicine Berlin, Berlin, Germany University of Maryland, United States of America 2 NeuroCure Clinical Research Center and Experimental and Clinical Research Center, Charité – University Medicine Berlin and Max Delbrueck Center for Molecular Medicine, Berlin, Germany 3 Institute of Medical Informatics, Charité – University Medicine Berlin, Berlin, Germany |
| AuthorAffiliation_xml | – name: 4 Institute of Neuroradiology, University Luebeck, Luebeck, Germany – name: 1 Department of Radiology, Charité – University Medicine Berlin, Berlin, Germany – name: 2 NeuroCure Clinical Research Center and Experimental and Clinical Research Center, Charité – University Medicine Berlin and Max Delbrueck Center for Molecular Medicine, Berlin, Germany – name: University of Maryland, United States of America – name: 3 Institute of Medical Informatics, Charité – University Medicine Berlin, Berlin, Germany – name: 5 Clinical and Experimental Multiple Sclerosis Research Center, Charité - University Medicine Berlin, Berlin, Germany |
| Author_xml | – sequence: 1 givenname: Kaspar-Josche surname: Streitberger fullname: Streitberger, Kaspar-Josche – sequence: 2 givenname: Ingolf surname: Sack fullname: Sack, Ingolf – sequence: 3 givenname: Dagmar surname: Krefting fullname: Krefting, Dagmar – sequence: 4 givenname: Caspar surname: Pfüller fullname: Pfüller, Caspar – sequence: 5 givenname: Jürgen surname: Braun fullname: Braun, Jürgen – sequence: 6 givenname: Friedemann surname: Paul fullname: Paul, Friedemann – sequence: 7 givenname: Jens surname: Wuerfel fullname: Wuerfel, Jens |
| BackLink | https://www.ncbi.nlm.nih.gov/pubmed/22276134$$D View this record in MEDLINE/PubMed |
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| Cites_doi | 10.1212/WNL.0b013e3181cec45c 10.1093/brain/awh498 10.1016/j.neuroimage.2004.07.051 10.1002/nbm.1602 10.1016/S1361-8415(01)00036-6 10.1006/nimg.2002.1040 10.1097/00004728-200105000-00022 10.1002/ana.1032 10.1088/0031-9155/52/24/006 10.1016/j.neuroimage.2007.08.030 10.1093/brain/awf177 10.1016/j.neuroimage.2009.02.040 10.1002/nbm.1189 10.1097/00019052-200206000-00003 10.1109/42.906424 10.1371/journal.pone.0023451 10.1088/0031-9155/55/21/007 10.1177/016173469101300201 10.1016/S1474-4422(06)70572-5 10.1002/nbm.1254 10.1006/nimg.2002.1132 10.1038/nm0596-601 10.1002/hbm.10062 10.1093/brain/awh007 10.1016/j.neuroimage.2009.06.018 |
| ContentType | Journal Article |
| Copyright | COPYRIGHT 2012 Public Library of Science 2012 Streitberger et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License: https://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. Streitberger et al. 2012 |
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| Notes | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 content type line 23 Conceived and designed the experiments: K-JS IS FP JW. Performed the experiments: K-JS IS. Analyzed the data: K-JS IS DK CP JB FP JW. Contributed reagents/materials/analysis tools: IS JW DK JB. Wrote the paper: K-JS IS FP JW. |
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| References | MA Green (ref9) 2008; 21 KJ Streitberger (ref12) 2011; 24 SM Smith (ref21) 2002; 17 R Muthupillai (ref6) 1996; 2 J Sastre-Garriga (ref26) 2005; 128 Y Zhang (ref25) 2001; 20 DH Miller (ref17) 2002; 125 X Montalban (ref2) 2010; 74 D Klatt (ref16) 2010; 55 FB Freimann (ref13) 2011 SA Kruse (ref8) 2008; 39 WI McDonald (ref1) 2001; 50 I Sack (ref7) 2008; 21 M Jenkinson (ref24) 2002; 17 F Barkhof (ref4) 2002; 15 K Riek (ref28) SM Smith (ref22) 2004; 23 A Charil (ref3) 2006; 5 J Wuerfel (ref14) 2010; 49 D Klatt (ref29) 2007; 52 J Wuerfel (ref18) 2004; 127 I Sack (ref11) 2011; 6 SM Smith (ref20) 2001; 25 I Sack (ref10) 2009; 46 AA Gurtovenko (ref15) 2005 K Schregel (ref27) J Ophir (ref5) 1991; 13 SM Smith (ref19) 2002; 17 M Jenkinson (ref23) 2001; 5 20054006 - Neurology. 2010 Feb 2;74(5):427-34 8616724 - Nat Med. 1996 May;2(5):601-3 20931563 - NMR Biomed. 2011 May;24(4):385-92 17614101 - NMR Biomed. 2008 Mar;21(3):265-71 19281851 - Neuroimage. 2009 Jul 1;46(3):652-7 11293691 - IEEE Trans Med Imaging. 2001 Jan;20(1):45-57 15501092 - Neuroimage. 2004;23 Suppl 1:S208-19 11351200 - J Comput Assist Tomogr. 2001 May-Jun;25(3):466-75 12391568 - Hum Brain Mapp. 2002 Nov;17(3):143-55 20952814 - Phys Med Biol. 2010 Nov 7;55(21):6445-59 18065839 - Phys Med Biol. 2007 Dec 21;52(24):7281-94 12482100 - Neuroimage. 2002 Sep;17(1):479-89 12135961 - Brain. 2002 Aug;125(Pt 8):1676-95 21538046 - Neuroradiology. 2012 Mar;54(3):189-96 12045719 - Curr Opin Neurol. 2002 Jun;15(3):239-45 11516708 - Med Image Anal. 2001 Jun;5(2):143-56 12377157 - Neuroimage. 2002 Oct;17(2):825-41 17913514 - Neuroimage. 2008 Jan 1;39(1):231-7 16987731 - Lancet Neurol. 2006 Oct;5(10):841-52 18457350 - NMR Biomed. 2008 Aug;21(7):755-64 15817511 - Brain. 2005 Jun;128(Pt 6):1454-60 21931599 - PLoS One. 2011;6(9):e23451 11456302 - Ann Neurol. 2001 Jul;50(1):121-7 1858217 - Ultrason Imaging. 1991 Apr;13(2):111-34 19539039 - Neuroimage. 2010 Feb 1;49(3):2520-5 14570816 - Brain. 2004 Jan;127(Pt 1):111-9 |
| References_xml | – volume: 74 start-page: 427 year: 2010 ident: ref2 article-title: MRI criteria for MS in patients with clinically isolated syndromes. publication-title: Neurology doi: 10.1212/WNL.0b013e3181cec45c – volume: 128 start-page: 1454 year: 2005 ident: ref26 article-title: Grey and white matter volume changes in early primary progressive multiple sclerosis: a longitudinal study. publication-title: Brain doi: 10.1093/brain/awh498 – volume: 23 start-page: S208 year: 2004 ident: ref22 article-title: Advances in functional and structural MR image analysis and implementation as FSL. publication-title: Neuroimage doi: 10.1016/j.neuroimage.2004.07.051 – volume: 24 start-page: 385 year: 2011 ident: ref12 article-title: In vivo viscoelastic properties of the brain in normal pressure hydrocephalus. publication-title: NMR Biomed doi: 10.1002/nbm.1602 – volume: 5 start-page: 143 year: 2001 ident: ref23 article-title: A global optimisation method for robust affine registration of brain images. publication-title: Med Image Anal doi: 10.1016/S1361-8415(01)00036-6 – volume: 17 start-page: 479 year: 2002 ident: ref21 article-title: Accurate, robust, and automated longitudinal and cross-sectional brain change analysis. publication-title: Neuroimage doi: 10.1006/nimg.2002.1040 – start-page: 171 year: 2005 ident: ref15 article-title: Generalized Gaussian structures: Models for polymer systems with complex topologies. Polymer Analysis, Polymer Theory – volume: 25 start-page: 466 year: 2001 ident: ref20 article-title: Normalized accurate measurement of longitudinal brain change. publication-title: J Comput Assist Tomogr doi: 10.1097/00004728-200105000-00022 – volume: 50 start-page: 121 year: 2001 ident: ref1 article-title: Recommended diagnostic criteria for multiple sclerosis: guidelines from the International Panel on the diagnosis of multiple sclerosis. publication-title: Ann Neurol doi: 10.1002/ana.1032 – volume: 52 start-page: 7281 year: 2007 ident: ref29 article-title: Noninvasive assessment of the rheological behavior of human internal organs using multifrequency MR elastography: A study of brain and liver viscoelasticity. publication-title: Phys Med Biol doi: 10.1088/0031-9155/52/24/006 – year: 2011 ident: ref13 article-title: Alteration of brain viscoelasticity after shunt treatment in normal pressure hydrocephalus. publication-title: Neuroradiology – volume: 39 start-page: 231 year: 2008 ident: ref8 article-title: Magnetic resonance elastography of the brain. publication-title: Neuroimage doi: 10.1016/j.neuroimage.2007.08.030 – volume: 125 start-page: 1676 year: 2002 ident: ref17 article-title: Measurement of atrophy in multiple sclerosis: pathological basis, methodological aspects and clinical relevance. publication-title: Brain doi: 10.1093/brain/awf177 – volume: 46 start-page: 652 year: 2009 ident: ref10 article-title: The impact of aging and gender on brain viscoelasticity. publication-title: Neuroimage doi: 10.1016/j.neuroimage.2009.02.040 – volume: 21 start-page: 265 year: 2008 ident: ref7 article-title: Non-invasive measurement of brain viscoelasticity using magnetic resonance elastography. publication-title: NMR Biomed doi: 10.1002/nbm.1189 – volume: 15 start-page: 239 year: 2002 ident: ref4 article-title: The clinico-radiological paradox in multiple sclerosis revisited. publication-title: Curr Opin Neurol doi: 10.1097/00019052-200206000-00003 – volume: 20 start-page: 45 year: 2001 ident: ref25 article-title: Segmentation of brain MR images through a hidden Markov random field model and the expectation-maximization algorithm. publication-title: IEEE Trans Med Imaging doi: 10.1109/42.906424 – volume: 6 start-page: e23451 year: 2011 ident: ref11 article-title: The influence of physiological aging and atrophy on brain viscoelastic properties in humans. publication-title: PlosOne doi: 10.1371/journal.pone.0023451 – volume: 55 start-page: 6445 year: 2010 ident: ref16 article-title: Viscoelasticity-based Magnetic resonance elastography of skeletal muscle. publication-title: Phys Med Biol doi: 10.1088/0031-9155/55/21/007 – volume: 13 start-page: 111 year: 1991 ident: ref5 article-title: Elastography: a quantitative method for imaging the elasticity of biological tissues. publication-title: Ultrason Imaging doi: 10.1177/016173469101300201 – ident: ref28 – volume: 5 start-page: 841 year: 2006 ident: ref3 article-title: MRI and the diagnosis of multiple sclerosis: expanding the concept of “no better explanation”. publication-title: Lancet Neurol doi: 10.1016/S1474-4422(06)70572-5 – volume: 21 start-page: 755 year: 2008 ident: ref9 article-title: In vivo brain viscoelastic properties measured by magnetic resonance elastography. publication-title: NMR Biomed doi: 10.1002/nbm.1254 – volume: 17 start-page: 825 year: 2002 ident: ref24 article-title: Improved optimization for the robust and accurate linear registration and motion correction of brain images. publication-title: Neuroimage doi: 10.1006/nimg.2002.1132 – volume: 2 start-page: 601 year: 1996 ident: ref6 article-title: Magnetic resonance elastography. publication-title: Nature Med doi: 10.1038/nm0596-601 – ident: ref27 – volume: 17 start-page: 143 year: 2002 ident: ref19 article-title: Fast robust automated brain extraction. publication-title: Hum Brain Mapp doi: 10.1002/hbm.10062 – volume: 127 start-page: 111 year: 2004 ident: ref18 article-title: Changes in cerebral perfusion precede plaque formation in multiple sclerosis: a longitudinal perfusion MRI study. publication-title: Brain doi: 10.1093/brain/awh007 – volume: 49 start-page: 2520 year: 2010 ident: ref14 article-title: MR-elastography reveals degradation of tissue integrity in multiple sclerosis. publication-title: Neuroimage doi: 10.1016/j.neuroimage.2009.06.018 – reference: 11293691 - IEEE Trans Med Imaging. 2001 Jan;20(1):45-57 – reference: 8616724 - Nat Med. 1996 May;2(5):601-3 – reference: 20931563 - NMR Biomed. 2011 May;24(4):385-92 – reference: 12135961 - Brain. 2002 Aug;125(Pt 8):1676-95 – reference: 12045719 - Curr Opin Neurol. 2002 Jun;15(3):239-45 – reference: 11456302 - Ann Neurol. 2001 Jul;50(1):121-7 – reference: 18065839 - Phys Med Biol. 2007 Dec 21;52(24):7281-94 – reference: 19539039 - Neuroimage. 2010 Feb 1;49(3):2520-5 – reference: 12482100 - Neuroimage. 2002 Sep;17(1):479-89 – reference: 11516708 - Med Image Anal. 2001 Jun;5(2):143-56 – reference: 17614101 - NMR Biomed. 2008 Mar;21(3):265-71 – reference: 21931599 - PLoS One. 2011;6(9):e23451 – reference: 17913514 - Neuroimage. 2008 Jan 1;39(1):231-7 – reference: 12377157 - Neuroimage. 2002 Oct;17(2):825-41 – reference: 14570816 - Brain. 2004 Jan;127(Pt 1):111-9 – reference: 16987731 - Lancet Neurol. 2006 Oct;5(10):841-52 – reference: 15817511 - Brain. 2005 Jun;128(Pt 6):1454-60 – reference: 18457350 - NMR Biomed. 2008 Aug;21(7):755-64 – reference: 11351200 - J Comput Assist Tomogr. 2001 May-Jun;25(3):466-75 – reference: 20952814 - Phys Med Biol. 2010 Nov 7;55(21):6445-59 – reference: 12391568 - Hum Brain Mapp. 2002 Nov;17(3):143-55 – reference: 1858217 - Ultrason Imaging. 1991 Apr;13(2):111-34 – reference: 21538046 - Neuroradiology. 2012 Mar;54(3):189-96 – reference: 19281851 - Neuroimage. 2009 Jul 1;46(3):652-7 – reference: 20054006 - Neurology. 2010 Feb 2;74(5):427-34 – reference: 15501092 - Neuroimage. 2004;23 Suppl 1:S208-19 |
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| Snippet | Viscoelastic properties indicate structural alterations in biological tissues at multiple scales with high sensitivity. Magnetic Resonance Elastography (MRE)... Introduction Viscoelastic properties indicate structural alterations in biological tissues at multiple scales with high sensitivity. Magnetic Resonance... IntroductionViscoelastic properties indicate structural alterations in biological tissues at multiple scales with high sensitivity. Magnetic Resonance... Introduction Viscoelastic properties indicate structural alterations in biological tissues at multiple scales with high sensitivity. Magnetic Resonance... |
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| SubjectTerms | Adult Autoimmune diseases Automation Biology Biomechanics Brain Brain - pathology Brain - physiopathology Brain damage Brain research Disease Elasticity Elasticity - physiology Elasticity Imaging Techniques Encephalitis Female Histopathology Humans Hypotheses In vivo methods and tests Inflammation Magnetic resonance Male Medical imaging equipment Medical research Medicine Middle Aged Multiple sclerosis Multiple Sclerosis, Chronic Progressive - pathology NMR Nuclear magnetic resonance Parenchyma Patients Registration Rheology Studies Tissues Viscoelasticity Viscosity |
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| Title | Brain Viscoelasticity Alteration in Chronic-Progressive Multiple Sclerosis |
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