Data Descriptor: A multiscale imaging and modelling dataset of the human inner ear

Nicolas Gerber, Mauricio Reyes, Livia Barazzetti, Hans Martin Kjer, Sergio Vera, Martin Stauber, Pavel Mistrik, Mario Ceresa, Nerea Mangado, Wilhelm Wimmer, Thomas Stark, Rasmus Reinhold Paulsen, Stefan Weber, Marco Caversaccio, Miguel A. Gonzalez Ballester

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Abstract

Understanding the human inner ear anatomy and its internal structures is paramount to advance hearing implant technology. While the emergence of imaging devices allowed researchers to improve understanding of intracochlear structures, the difficulties to collect appropriate data has resulted in studies conducted with few samples. To assist the cochlear research community, a large collection of human temporal bone images is being made available. This data descriptor, therefore, describes a rich set of image volumes acquired using cone beam computed tomography and micro-CT modalities, accompanied by manual delineations of the cochlea and sub-compartments, a statistical shape model encoding its anatomical variability, and data for electrode insertion and electrical simulations. This data makes an important asset for future studies in need of high-resolution data and related statistical data objects of the cochlea used to leverage scientific hypotheses. It is of relevance to anatomists, audiologists, computer scientists in the different domains of image analysis, computer simulations, imaging formation, and for biomedical engineers designing new strategies for cochlear implantations, electrode design, and others.
Original languageEnglish
Article number170132
JournalScientific Data
Volume4
Number of pages12
ISSN2052-4463
DOIs
Publication statusPublished - 2017

Cite this

Gerber, N., Reyes, M., Barazzetti, L., Kjer, H. M., Vera, S., Stauber, M., Mistrik, P., Ceresa, M., Mangado, N., Wimmer, W., Stark, T., Paulsen, R. R., Weber, S., Caversaccio, M., & Gonzalez Ballester, M. A. (2017). Data Descriptor: A multiscale imaging and modelling dataset of the human inner ear. Scientific Data, 4, [170132]. https://doi.org/10.1038/sdata.2017.132