Poznyakovskiy Anton A, Zahnert Thomas, Kalaidzidis Yannis, Schmidt Rolf, Fischer Björn, Baumgart Johannes, Yarin Yury M
Clinic of Oto-Rhino-Laryngology, Department of Medicine, Universitätsklinikum Dresden, Dresden, Germany.
Hear Res. 2008 Sep;243(1-2):95-104. doi: 10.1016/j.heares.2008.06.008. Epub 2008 Jun 28.
The modeling of the mechanical process of hearing requires an accurate geometrical model of the inner ear (cochlea). The purpose of this study was the creation of a 3-D model of the fluid chambers of Guinea pig cochlea, which could serve as a basis for further mechanical modeling. Micro computer tomography used in this study is a noninvasive method to visualize bony structures. The visualization of the membranous labyrinth was achieved by additional staining of the specimen with OsO(4). The resulting stack of images has been transformed into a cylindrical coordinate system. To suppress noise on tomography images, a nonlinear smoothing method, anisotropic diffusion, were applied. A new approach has been proposed to estimate algorithm parameters automatically. Then, a segmentation using active contours (snakes) was performed. In this study, a new energy linking the contours on adjacent slices has been added to the standard approach. This compensates the inconsistencies between adjacent contours. The images segmented in this way were used as a basis for a 3-D reconstruction of the hearing organ.
听觉机械过程的建模需要精确的内耳(耳蜗)几何模型。本研究的目的是创建豚鼠耳蜗流体腔室的三维模型,该模型可作为进一步机械建模的基础。本研究中使用的微型计算机断层扫描是一种可视化骨结构的非侵入性方法。通过用OsO(4)对标本进行额外染色实现膜迷路的可视化。所得图像堆栈已转换为圆柱坐标系。为了抑制断层扫描图像上的噪声,应用了一种非线性平滑方法——各向异性扩散。提出了一种自动估计算法参数的新方法。然后,使用活动轮廓(蛇形算法)进行分割。在本研究中,一种将相邻切片上的轮廓连接起来的新能量已被添加到标准方法中。这补偿了相邻轮廓之间的不一致性。以这种方式分割的图像被用作听觉器官三维重建的基础。