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Gerber N, Reyes M, Barazzetti L, et al. A multiscale imaging and modelling dataset of the human inner ear. Sci Data. 2017;4:170132doi: 10.1038/sdata.2017.132.
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., & Ballester, M. A. G. (2017). A multiscale imaging and modelling dataset of the human inner ear. Scientific data, 4170132. https://doi.org/10.1038/sdata.2017.132
Gerber, Nicolas, et al. "A multiscale imaging and modelling dataset of the human inner ear." Scientific data vol. 4 (2017): 170132. doi: https://doi.org/10.1038/sdata.2017.132
Gerber N, Reyes M, Barazzetti L, Kjer HM, Vera S, Stauber M, Mistrik P, Ceresa M, Mangado N, Wimmer W, Stark T, Paulsen RR, Weber S, Caversaccio M, Ballester MAG. A multiscale imaging and modelling dataset of the human inner ear. Sci Data. 2017 Sep 19;4:170132. doi: 10.1038/sdata.2017.132. PMID: 28925991; PMCID: PMC5604133.
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Sci Data. 2017 Sep 19;4:170132. doi: 10.1038/sdata.2017.132.

A multiscale imaging and modelling dataset of the human inner ear.

Scientific data

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

Affiliations

  1. ARTORG Center for Biomedical Engineering Research, University of Bern, Switzerland.
  2. Institute for Surgical Technology and Biomechanics, University of Bern, Bern 3100, Switzerland.
  3. Technical University of Denmark, Copenhagen 2800, Denmark.
  4. Alma IT Systems, Barcelona 8007, Spain.
  5. Scanco Medical AG, Brüttisellen 8306, Switzerland.
  6. Med-El, Innsbruck 6020, Austria.
  7. Universitat Pompeu Fabra, Barcelona 8007, Spain.
  8. Department of Otorhinolaryngology, Technical University Munich, Munich 80333, Germany.
  9. Department of ENT, Head and Neck Surgery, Inselspital, University Hospital of Bern, Bern 3100, Switzerland.
  10. ICREA, Barcelona 8007, Spain.

PMID: 28925991 PMCID: PMC5604133 DOI: 10.1038/sdata.2017.132

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.

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