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耳蜗神经根的计算机辅助三维重建

Computer-aided three-dimensional reconstruction of the cochlear nerve root.

作者信息

Sinha U K, Terr L I, Galey F R, Linthicum F H

出版信息

Arch Otolaryngol Head Neck Surg. 1987 Jun;113(6):651-5. doi: 10.1001/archotol.1987.01860060077019.

Abstract

Computer-aided three-dimensional reconstruction techniques have been used for reconstruction of the cochlear nuclei and the cochlear nerve root. The cochlear nuclei, the nerve root, and the other adjacent structures were studied in serial frontal and horizontal sections. Boundaries of these structures were digitized into a computer and eight three-dimensional models were produced. Two solid models (reconstructions) showed the spatial surface topography, while the others revealed the appearance of the nerve root within the nuclei. The reconstructions also showed the position of the tenia of the tela choroidea on the surface of the nuclei and its relation to the root. This knowledge makes it possible to use the tenia as a landmark for determination of the root position within the nuclei. As the nerve enters the nucleus and forms the root, there is an appreciable reduction in its thickness. At the same time, the distance between the nuclei surface and the root, which has a cone shape, increases. The cone is curved along its longitudinal axis toward the inferior cerebellar peduncle. The top of the root borders the dorsal cochlear nucleus. This study stems from work in this institution on placement of the central electroauditory prosthesis on the cochlear nuclei surface. The results obtained further knowledge of the anatomy of the nuclei, specifically the areas used for the prosthesis implantation and the underlying tissue.

摘要

计算机辅助三维重建技术已被用于重建蜗神经核和蜗神经根。在连续的额状面和水平面切片中研究了蜗神经核、神经根及其他相邻结构。这些结构的边界被数字化输入计算机,并生成了八个三维模型。两个实体模型(重建模型)展示了空间表面形态,而其他模型则揭示了神经核内神经根的外观。重建模型还显示了脉络丛带在神经核表面的位置及其与神经根的关系。这些知识使得可以将脉络丛带用作确定神经根在神经核内位置的标志。当神经进入神经核并形成神经根时,其厚度会明显减小。同时,神经核表面与呈锥形的神经根之间的距离增加。锥体沿其纵轴朝着小脑下脚弯曲。神经根的顶部与背侧蜗神经核相邻。本研究源于该机构关于在蜗神经核表面植入中央电听觉假体的工作。所获得的结果进一步加深了对神经核解剖结构的了解,特别是用于假体植入的区域和深层组织。

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