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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Vydané v:IRBM Ročník 38; číslo 6; s. 339 - 345
Hlavní autori: Lebret, A., Kenmochi, Y., Tamaki, T.
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: Elsevier Masson SAS 01.11.2017
Elsevier BV
Elsevier Masson
Predmet:
[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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Popis
Shrnutí: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.
ISSN:1959-0318
DOI:10.1016/j.irbm.2017.10.001