TY - JOUR
T1 - Data Descriptor: A multiscale imaging and modelling dataset of the human inner ear
AU - Gerber, Nicolas
AU - Reyes, Mauricio
AU - Barazzetti, Livia
AU - Kjer, Hans Martin
AU - Vera, Sergio
AU - Stauber, Martin
AU - Mistrik, Pavel
AU - Ceresa, Mario
AU - Mangado, Nerea
AU - Wimmer, Wilhelm
AU - Stark, Thomas
AU - Paulsen, Rasmus Reinhold
AU - Weber, Stefan
AU - Caversaccio, Marco
AU - Gonzalez Ballester, Miguel A.
PY - 2017
Y1 - 2017
N2 - 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.
AB - 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.
U2 - 10.1038/sdata.2017.132
DO - 10.1038/sdata.2017.132
M3 - Journal article
C2 - 28925991
VL - 4
JO - Scientific Data
JF - Scientific Data
SN - 2052-4463
M1 - 170132
ER -