van den Boogert Thomas, van Hoof Marc, Handschuh Stephan, Glueckert Rudolf, Guinand Nils, Guyot Jean-Philippe, Kingma Herman, Perez-Fornos Angelica, Seppen Bart, Johnson Chacko Lejo, Schrott-Fischer Anneliese, van de Berg Raymond
Division of Balance Disorders, Department of Otorhinolaryngology, Head, and Neck Surgery, Faculty of Health Medicine and Life Sciences, School for Mental Health and Neuroscience, Maastricht University Medical Centre, Maastricht, Netherlands.
VetCore Facility for Research, University of Veterinary Medicine Vienna, Vienna, Austria.
Front Neuroanat. 2018 May 22;12:41. doi: 10.3389/fnana.2018.00041. eCollection 2018.
Knowledge of the neuro-anatomical architecture of the inner ear contributes to the improvement and development of cochlear and vestibular implants. The present knowledge is mainly based on two-dimensional images (histology) or derived models that simplify the complexity of this architecture. This study investigated the feasibility of visualizing relevant neuro-anatomical structures of the inner ear in a dynamic three-dimensional reproduction, using a combination of staining, micro-CT imaging and an image processing algorithm. Four fresh cadaveric temporal bones were postfixed with osmium tetroxide (OsO) and decalcified with EDTA. Micro-CT was used for scanning at 10 μm (4 scans) and 5.5 μm (1 scan) voxel resolution. A new image processing algorithm was developed and the scans were visualized in open source software. OsO enhanced the contrast in all scans and the visualization was substantially improved by the image processing algorithm. The three-dimensional renderings provided detailed visualization of the whole inner ear. Details were visible up to the size of individual neurons, nerve crossings and the specific neuro-anatomical structures such as the tunnel of Corti. The combination of OsO, micro-CT and the proposed image processing algorithm provides an accurate and detailed visualization of the three-dimensional micro-anatomy of the human inner ear.
对内耳神经解剖结构的了解有助于人工耳蜗和前庭植入物的改进与发展。目前的认知主要基于二维图像(组织学)或简化了该结构复杂性的衍生模型。本研究使用染色、微型计算机断层扫描(micro-CT)成像和图像处理算法相结合的方法,探讨了在动态三维再现中可视化内耳相关神经解剖结构的可行性。对四块新鲜尸体颞骨用四氧化锇(OsO)进行后固定,并用乙二胺四乙酸(EDTA)进行脱钙处理。使用micro-CT分别以10μm(4次扫描)和5.5μm(1次扫描)的体素分辨率进行扫描。开发了一种新的图像处理算法,并在开源软件中对扫描图像进行可视化处理。OsO增强了所有扫描图像的对比度,并且通过图像处理算法显著改善了可视化效果。三维渲染图提供了整个内耳的详细可视化图像。可以看到单个神经元、神经交叉以及特定神经解剖结构(如柯蒂氏管)大小的细节。OsO、micro-CT和所提出的图像处理算法相结合,能够准确、详细地可视化人类内耳的三维微观解剖结构。