Intrinsic Profile Analysis of Intracranial Cerebrospinal Fluid

Purpose: We aim at studying intrinsic structures of the intracranial subarachnoid space. Material and methods: Magnetic resonance images were obtained using the SPACE sequence, and the segmentation of the superior intracranial subarachnoid space was performed using geometrical features and a topolog...

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Published in:	IRBM Vol. 38; no. 6; pp. 339 - 345
Main Authors:	Lebret, A., Kenmochi, Y., Tamaki, T.
Format:	Journal Article
Language:	English
Published:	Elsevier Masson SAS 01.11.2017 Elsevier BV Elsevier Masson
Subjects:	[INFO.INFO-IM]Computer Science [cs]/Medical Imaging [INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing [SDV.IB.IMA]Life Sciences [q-bio]/Bioengineering/Imaging Bioengineering Classification Computer Science Geodesic propagation Imaging Intracranial subarachnoid space Intrinsic shape analysis Life Sciences Medical Imaging Signal and Image Processing Intracranial subarachnoid space Geodesic propagation Intrinsic shape analysis Classification geodesic propagation intrinsic shape analysis classification
ISSN:	1959-0318
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Abstract	Purpose: We aim at studying intrinsic structures of the intracranial subarachnoid space. Material and methods: Magnetic resonance images were obtained using the SPACE sequence, and the segmentation of the superior intracranial subarachnoid space was performed using geometrical features and a topological assumption of the shapes. Given such segmentation results, we present a method based on a geodesic propagation technique, which allows us to make an intrinsic profile of the space. Intrinsic profiles are then analyzed qualitatively and quantitatively, in particular for classification into healthy and pathological cases based on their intrinsic bilateral asymmetry and histogram moments. Results: The proposed method was applied to a clinical dataset of 15 subjects, of which 7 were healthy volunteers and 8 were hydrocephalus patients. The intracranial cerebrospinal fluid is not (intrinsically) bilaterally asymmetric for healthy volunteers, while hydrocephalus would cause asymmetry. We also observed that the results of a two-class classification (healthy or not) based on histogram moments were suitable; sensitivity, specificity and precision are all 100%. Conclusions: The effectiveness of the proposed method of intrinsic profiling analyses is shown by preliminary experiments on healthy adults and hydrocephalus patients. •An intrinsic profile of the intracranial subarachnoid space is presented.•Intrinsic profiles are analyzed for characterizing healthy and pathological cases.•Experiments on healthy adults and hydrocephalus patients are shown.
AbstractList	Purpose: We aim at studying intrinsic structures of the intracranial subarachnoid space. Material and methods: Magnetic resonance images were obtained using the SPACE sequence, and the segmentation of the superior intracranial subarachnoid space was performed using geometrical features and a topological assumption of the shapes. Given such segmentation results, we present a method based on a geodesic propagation technique, which allows us to make an intrinsic profile of the space. Intrinsic profiles are then analyzed qualitatively and quantitatively, in particular for classification into healthy and pathological cases based on their intrinsic bilateral asymmetry and histogram moments. Results: The proposed method was applied to a clinical dataset of 15 subjects, of which 7 were healthy volunteers and 8 were hydrocephalus patients. The intracranial cerebrospinal fluid is not (intrinsically) bilaterally asymmetric for healthy volunteers, while hydrocephalus would cause asymmetry. We also observed that the results of a two-class classification (healthy or not) based on histogram moments were suitable; sensitivity, specificity and precision are all 100%. Conclusions: The effectiveness of the proposed method of intrinsic profiling analyses is shown by preliminary experiments on healthy adults and hydrocephalus patients. •An intrinsic profile of the intracranial subarachnoid space is presented.•Intrinsic profiles are analyzed for characterizing healthy and pathological cases.•Experiments on healthy adults and hydrocephalus patients are shown. Purpose: We aim at studying intrinsic structures of the intracranial subarachnoid space.Material and methods: Magnetic resonance images were obtained using the SPACE sequence, and the segmentation of the superior intracranial subarachnoid space was performed using geometrical features and a topological assumption of the shapes. Given such segmentation results, we present a method based on a geodesic propagation technique, which allows us to make an intrinsic profile of the space. Intrinsic profiles are then analyzed qualitatively and quantitatively, in particular for classification into healthy and pathological cases based on their intrinsic bilateral asymmetry and histogram moments.Results: The proposed method was applied to a clinical dataset of 15 subjects, of which 7 were healthy volunteers and 8 were hydrocephalus patients. The intracranial cerebrospinal fluid is not (intrinsically) bilaterally asymmetric for healthy volunteers, while hydrocephalus would cause asymmetry. We also observed that the results of a two-class classification (healthy or not) based on histogram moments were suitable; sensitivity, specificity and precision are all 100%.Conclusions: The effectiveness of the proposed method of intrinsic profiling analyses is shown by preliminary experiments on healthy adults and hydrocephalus patients.
Author	Kenmochi, Y. Lebret, A. Tamaki, T.
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Keywords	Intracranial subarachnoid space Geodesic propagation Intrinsic shape analysis Classification geodesic propagation intrinsic shape analysis classification
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References	Cormen, Leiserson, Rivest, Stein (br0140) 2009 Corns, Martin (br0030) 2012; 30 Raviv, Bronstein, Bronstein, Kimmel (br0100) 2007 Sethian (br0130) 1999 Lebret, Kenmochi, Hodel, Rahmouni, Decq, Petit (br0060) 2015; 44 Rabin, Peyré, Cohen (br0090) 2010 Matsumae, Sato, Hirayama, Hayashi, Takizawa, Atsumi (br0020) 2016; 56 Hodel, Silvera, Bekaert, Rahmouni, Bastuji-Garin, Vignaud (br0120) 2011; 21 Bai, Latecki (br0080) 2008; 30 Pratt (br0160) 2007 Klingenberg, Barluenga, Meyer (br0110) 2002; 56 Lebret, Hodel, Rahmouni, Decq, Petit (br0050) 2013; 37 Cortes, Vapnik (br0170) 1995; 20 Sakka, Coll, Chazal (br0010) 2011; 128 Ngo, Kenmochi, Passat, Talbot (br0150) 2014; 49 Rosén, Hansson, Blennow, Zetterberg (br0040) 2013; 8 Ling, Jacobs (br0070) 2007; 29 Sakka (10.1016/j.irbm.2017.10.001_br0010) 2011; 128 Lebret (10.1016/j.irbm.2017.10.001_br0060) 2015; 44 Pratt (10.1016/j.irbm.2017.10.001_br0160) 2007 Hodel (10.1016/j.irbm.2017.10.001_br0120) 2011; 21 Cortes (10.1016/j.irbm.2017.10.001_br0170) 1995; 20 Corns (10.1016/j.irbm.2017.10.001_br0030) 2012; 30 Rabin (10.1016/j.irbm.2017.10.001_br0090) 2010 Ngo (10.1016/j.irbm.2017.10.001_br0150) 2014; 49 Matsumae (10.1016/j.irbm.2017.10.001_br0020) 2016; 56 Klingenberg (10.1016/j.irbm.2017.10.001_br0110) 2002; 56 Cormen (10.1016/j.irbm.2017.10.001_br0140) 2009 Ling (10.1016/j.irbm.2017.10.001_br0070) 2007; 29 Bai (10.1016/j.irbm.2017.10.001_br0080) 2008; 30 Rosén (10.1016/j.irbm.2017.10.001_br0040) 2013; 8 Sethian (10.1016/j.irbm.2017.10.001_br0130) 1999 Raviv (10.1016/j.irbm.2017.10.001_br0100) 2007 Lebret (10.1016/j.irbm.2017.10.001_br0050) 2013; 37
References_xml	– volume: 30 start-page: 142 year: 2012 end-page: 148 ident: br0030 article-title: Hydrocephalus publication-title: Surgery – volume: 30 start-page: 1282 year: 2008 end-page: 1292 ident: br0080 article-title: Path similarity skeleton graph matching publication-title: IEEE Trans Pattern Anal Mach Intell – volume: 56 start-page: 1909 year: 2002 end-page: 1920 ident: br0110 article-title: Shape analysis of symmetric structures: quantifying variation among individuals and asymmetry publication-title: Evolution – volume: 37 start-page: 224 year: 2013 end-page: 233 ident: br0050 article-title: Cerebrospinal fluid volume analysis for hydrocephalus diagnosis and clinical research publication-title: Comput Med Imaging Graph – start-page: 1 year: 2007 end-page: 7 ident: br0100 article-title: Symmetries of non-rigid shapes publication-title: NRTL – year: 2007 ident: br0160 article-title: Digital image processing – volume: 21 start-page: 402 year: 2011 end-page: 410 ident: br0120 article-title: Intracranial cerebrospinal fluid spaces imaging using a pulse-triggered three-dimensional turbo spin echo MR sequence with variable flip-angle distribution publication-title: Eur Radiol – volume: 8 year: 2013 ident: br0040 article-title: Fluid biomarkers in Alzheimer's disease – current concepts publication-title: Mol Neurodegener – volume: 49 start-page: 418 year: 2014 end-page: 433 ident: br0150 article-title: Topology-preserving conditions for 2d digital images under rigid transformations publication-title: J Math Imaging Vis – volume: 56 start-page: 416 year: 2016 end-page: 441 ident: br0020 article-title: Research into the physiology of cerebrospinal fluid reaches a new horizon: intimate exchange between cerebrospinal fluid and interstitial fluid may contribute to maintenance of homeostasis in the central nervous system publication-title: Neurol Med Chir (Tokyo) – volume: 29 start-page: 286 year: 2007 end-page: 299 ident: br0070 article-title: Shape classification using the inner-distance publication-title: IEEE Trans Pattern Anal Mach Intell – year: 1999 ident: br0130 article-title: Level set methods and fast marching methods: evolving interfaces in computational geometry fluid mechanics, computer vision, and materials science – volume: 128 start-page: 309 year: 2011 end-page: 316 ident: br0010 article-title: Anatomy and physiology of cerebrospinal fluid publication-title: Eur Ann Otorhinolaryngol Head Neck Dis – start-page: 771 year: 2010 end-page: 784 ident: br0090 article-title: Geodesic shapes and surfaces retrieval via optimal mass transport publication-title: Proc. of ECCV'10 – volume: 20 start-page: 273 year: 1995 end-page: 297 ident: br0170 article-title: Support-vector networks publication-title: Mach Learn – year: 2009 ident: br0140 article-title: Introduction to algorithms – volume: 44 start-page: 26 year: 2015 end-page: 40 ident: br0060 article-title: Volumetric relief map for intracranial cerebrospinal fluid distribution analysis publication-title: Comput Med Imaging Graph – volume: 44 start-page: 26 year: 2015 ident: 10.1016/j.irbm.2017.10.001_br0060 article-title: Volumetric relief map for intracranial cerebrospinal fluid distribution analysis publication-title: Comput Med Imaging Graph doi: 10.1016/j.compmedimag.2015.06.001 – volume: 29 start-page: 286 issue: 2 year: 2007 ident: 10.1016/j.irbm.2017.10.001_br0070 article-title: Shape classification using the inner-distance publication-title: IEEE Trans Pattern Anal Mach Intell doi: 10.1109/TPAMI.2007.41 – year: 2007 ident: 10.1016/j.irbm.2017.10.001_br0160 – volume: 37 start-page: 224 issue: 3 year: 2013 ident: 10.1016/j.irbm.2017.10.001_br0050 article-title: Cerebrospinal fluid volume analysis for hydrocephalus diagnosis and clinical research publication-title: Comput Med Imaging Graph doi: 10.1016/j.compmedimag.2013.03.005 – year: 1999 ident: 10.1016/j.irbm.2017.10.001_br0130 – volume: 30 start-page: 1282 issue: 7 year: 2008 ident: 10.1016/j.irbm.2017.10.001_br0080 article-title: Path similarity skeleton graph matching publication-title: IEEE Trans Pattern Anal Mach Intell doi: 10.1109/TPAMI.2007.70769 – start-page: 1 year: 2007 ident: 10.1016/j.irbm.2017.10.001_br0100 article-title: Symmetries of non-rigid shapes – start-page: 771 year: 2010 ident: 10.1016/j.irbm.2017.10.001_br0090 article-title: Geodesic shapes and surfaces retrieval via optimal mass transport – year: 2009 ident: 10.1016/j.irbm.2017.10.001_br0140 – volume: 56 start-page: 1909 issue: 10 year: 2002 ident: 10.1016/j.irbm.2017.10.001_br0110 article-title: Shape analysis of symmetric structures: quantifying variation among individuals and asymmetry publication-title: Evolution doi: 10.1111/j.0014-3820.2002.tb00117.x – volume: 30 start-page: 142 issue: 3 year: 2012 ident: 10.1016/j.irbm.2017.10.001_br0030 article-title: Hydrocephalus publication-title: Surgery – volume: 21 start-page: 402 issue: 2 year: 2011 ident: 10.1016/j.irbm.2017.10.001_br0120 article-title: Intracranial cerebrospinal fluid spaces imaging using a pulse-triggered three-dimensional turbo spin echo MR sequence with variable flip-angle distribution publication-title: Eur Radiol doi: 10.1007/s00330-010-1925-1 – volume: 20 start-page: 273 issue: 3 year: 1995 ident: 10.1016/j.irbm.2017.10.001_br0170 article-title: Support-vector networks publication-title: Mach Learn doi: 10.1007/BF00994018 – volume: 128 start-page: 309 issue: 6 year: 2011 ident: 10.1016/j.irbm.2017.10.001_br0010 article-title: Anatomy and physiology of cerebrospinal fluid publication-title: Eur Ann Otorhinolaryngol Head Neck Dis doi: 10.1016/j.anorl.2011.03.002 – volume: 56 start-page: 416 year: 2016 ident: 10.1016/j.irbm.2017.10.001_br0020 article-title: Research into the physiology of cerebrospinal fluid reaches a new horizon: intimate exchange between cerebrospinal fluid and interstitial fluid may contribute to maintenance of homeostasis in the central nervous system publication-title: Neurol Med Chir (Tokyo) doi: 10.2176/nmc.ra.2016-0020 – volume: 8 issue: 20 year: 2013 ident: 10.1016/j.irbm.2017.10.001_br0040 article-title: Fluid biomarkers in Alzheimer's disease – current concepts publication-title: Mol Neurodegener – volume: 49 start-page: 418 issue: 2 year: 2014 ident: 10.1016/j.irbm.2017.10.001_br0150 article-title: Topology-preserving conditions for 2d digital images under rigid transformations publication-title: J Math Imaging Vis doi: 10.1007/s10851-013-0474-z
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Snippet	Purpose: We aim at studying intrinsic structures of the intracranial subarachnoid space. Material and methods: Magnetic resonance images were obtained using... Purpose: We aim at studying intrinsic structures of the intracranial subarachnoid space.Material and methods: Magnetic resonance images were obtained using the...
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Title	Intrinsic Profile Analysis of Intracranial Cerebrospinal Fluid
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