Data Descriptor: A multiscale imaging and modelling dataset of the human inner ear
Data Descriptor: A multiscale imaging and modelling dataset of the human inner ear
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DOI：
10.1038/sdata.2017.132
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发表时间：
2017-09-19
期刊：
影响因子：
9.8
通讯作者：
Gonzalez Ballester, Miguel A.
中科院分区：
文献类型：
--
作者：
Gerber, Nicolas;Reyes, Mauricio;Gonzalez Ballester, Miguel A.
了解人类内耳解剖结构及其内部结构对于推进听力植入技术至关重要。虽然成像设备的出现使研究人员能够提高对颅内结构的理解，但收集适当数据的困难导致研究样本很少。为了协助耳蜗研究界，正在提供大量的人类颞骨图像。因此，该数据描述符描述了使用锥形束计算机断层扫描和微型CT模态采集的一组丰富的图像体积，伴随着耳蜗和子室的手动描绘，编码其解剖变异性的统计形状模型，以及用于电极插入和电模拟的数据。这些数据为未来需要高分辨率数据和用于利用科学假设的耳蜗相关统计数据对象的研究提供了重要资产。它与解剖学家、听力学家、计算机科学家在图像分析、计算机模拟、成像形成的不同领域以及生物医学工程师为耳蜗植入、电极设计等设计新策略有关。
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.