Asclepios Research Team, Inria Sophia Antipolis-Mediterranée, France; Department of Cochlear Implant Scientific Research, Oticon Medical, France.
Asclepios Research Team, Inria Sophia Antipolis-Mediterranée, France; Head and Neck University Institute (IUFC), Nice, France.
Comput Med Imaging Graph. 2017 Jul;59:1-12. doi: 10.1016/j.compmedimag.2017.04.002. Epub 2017 Apr 12.
The aim of this study is to define an automated and reproducible framework for cochlear anatomical analysis from high-resolution segmented images and to provide a comprehensive and objective shape variability study suitable for cochlear implant design and surgery planning. For the scala tympani (ST), the scala vestibuli (SV) and the whole cochlea, the variability of the arc lengths and the radial and longitudinal components of the lateral, central and modiolar paths are studied. The robustness of the automated cochlear coordinate system estimation is validated with synthetic and real data. Cochlear cross-sections are statistically analyzed using area, height and width measurements. The cross-section tilt angle is objectively measured and this data documents a significant feature for occurrence of surgical trauma.
本研究旨在定义一种从高分辨率分割图像中进行耳蜗解剖分析的自动化和可重复的框架，并提供一种全面且客观的形状可变性研究，适用于耳蜗植入物设计和手术规划。对于鼓阶（ST）、前庭阶（SV）和整个耳蜗，研究了外侧、中央和中间路径的弧长以及径向和纵向分量的可变性。使用合成和真实数据验证了自动耳蜗坐标系估计的稳健性。使用面积、高度和宽度测量对耳蜗横截面进行统计分析。客观测量横截面倾斜角，该数据记录了手术创伤发生的一个显著特征。
