Abstract
Intravenous contrast agent-enhanced magnetic resonance imaging of the endolymphatic space (ELS) of the inner ear permits direct, in-vivo, non-invasive visualization of labyrinthine structures and thus verification of endolymphatic hydrops (ELH). However, current volumetric assessment approaches lack normalization. The aim of this study was to develop a probabilistic atlas of the inner ear’s bony labyrinth as a first step towards an automated and reproducible volume-based quantification of the ELS. The study included three different datasets: a source dataset (D1) to build the probabilistic atlas and two testing sets (D2, D3). D1 included 24 right-handed patients (12 females; mean age 51.5 ± 3.9 years) and D2 5 patients (3 female; mean age 48.8 ± 5.01 years) with vestibular migraine without ELH or any measurable vestibular deficits. D3 consisted of five patients (one female; mean age 46 ± 5.2 years) suffering from unilateral Menière’s disease and ELH. Data processing comprised three steps: preprocessing using an affine and deformable fusion registration pipeline, computation of an atlas for the left and right inner ear using a label-assisted approach, and validation of the atlas based on localizing and segmenting previously unseen ears. The three-dimensional probabilistic atlas of the inner ear’s bony labyrinth consisted of the internal acoustic meatus and inner ears (including cochlea, otoliths, and semicircular canals) for both sides separately. The analyses showed a high level of agreement between the atlas-based segmentation and the manual gold standard with an overlap of 89% for the right ear and 86% for the left ear (measured by dice scores). This probabilistic in vivo atlas of the human inner ear’s bony labyrinth and thus of the inner ear’s total fluid space for both ears represents a necessary step towards a normalized, easily reproducible and reliable volumetric quantification of the perilymphatic and endolymphatic space in view of MR volumetric assessment of ELH. The proposed atlas lays the groundwork for state-of-the-art approaches (e.g., deep learning) and will be provided to the scientific community.
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Abbreviations
- 3D:
-
Three dimensional
- CISS:
-
Constructive interference in steady state
- DS:
-
Dice score
- ELH:
-
Endolymphatic hydrops
- ELS:
-
Endolymphatic space
- FLAIR:
-
Fluid-attenuated inversion recovery
- GRAPPA:
-
Generalized auto-calibrating partially parallel acquisition
- MR:
-
Magnetic resonance
- iv:
-
Intravenous
- it:
-
Intratympanal
- iMRI:
-
Gadolinium-enhanced high-resolution magnetic resonance imaging of the inner ear
- itMRI:
-
Intratympanal applied iMRI
- ivMRI:
-
Intravenous applied delayed iMRI
- L:
-
Left
- MD:
-
Menière’s disease
- MRI:
-
Magnetic resonance imaging
- R:
-
Right
- RH:
-
Right handed
- RMSE:
-
Root-mean-square error
- SD:
-
Standard deviation
- SVV:
-
Subjective visual vertical
- TNOV:
-
Total number of voxels
- TV:
-
Total volume
- vHIT:
-
Videooculography during head impulse test
- VM:
-
Vestibular migraine
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Acknowledgements
Partially funded by the Society for the Advancement of Science and Research at the Medical Faculty of the Ludwig Maximilians University Munich (Verein zur Förderung von Wissenschaft und Forschung an der Medizinischen Fakultät der Ludwig-Maximilians-Universität München), the Friedrich-Baur-Stiftung (FBS), the Graduate School of Systemic Neurosciences (GSN), and the German Federal Ministry of Education and Research (German Center for Vertigo and Balance Disorders-IFBLMU, Grant code 01EO140). This is part of the dissertation of F. Nejatbakhshesfahani. We thank Gregory C. Sharp for his help in choosing the right applications in 3D Slicer, Gary E Christensen and his group for sending us a CT-template of the inner ear, and Albert Berman for introducing this project.
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All the procedures conducted with the participants of this study were carried out according to the Declaration of Helsinki. The protocol of the study was approved by the Institutional Review Board approval was obtained prior to the initiation of the study (No 641-15).
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Each patient provided informed consent.
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This manuscript is part of a supplement sponsored by the German Federal Ministry of Education and Research within the funding initiative for integrated research and treatment centers.
V. Kirsch and F. Nejatbakhshesfahani share first authorship.
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Kirsch, V., Nejatbakhshesfahani, F., Ahmadi, SA. et al. A probabilistic atlas of the human inner ear’s bony labyrinth enables reliable atlas-based segmentation of the total fluid space. J Neurol 266 (Suppl 1), 52–61 (2019). https://doi.org/10.1007/s00415-019-09488-6
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DOI: https://doi.org/10.1007/s00415-019-09488-6