Christensen Gary E, He Jianchun, Dill John A, Rubinstein Jay T, Vannier Michael W, Wang Ge
Department of Electrical and Computer Engineering, The University of Iowa, 4016 SC, Iowa City, IA 52242, USA.
Acad Radiol. 2003 Sep;10(9):988-99. doi: 10.1016/s1076-6332(03)00121-1.
This article presents a new method for measuring the shape of the cochlea, vestibule, semi-circular canals, and internal auditory canal using image registration and a deformable inner ear atlas.
Computed tomography images of the inner ear are analyzed by placing them into a common orientation and then registering a digital atlas of the inner ear to the data set. The atlas is deformed from its original shape to match the shape of the inner ear in the computed tomography data set using inverse consistent elastic image registration. This process produces an individualized inner ear atlas containing subject-specific measurements and segmentations of the inner ear anatomy in the target computed tomography data set. The shape measurements include the volume and length of the cochlea, vestibule, semi-circular canals, and internal auditory canal; and the angles between the semi-circular canals.
A simulated population of inner ear shapes were generated based on the shape of a real population of inner ear shapes and were used to characterize the measurement error of this method. The deformable atlas was used to measure the shape of the left and right inner ear of six individuals.
Measurement error for 15 of the 24 measurements of our simulated population had an average error of less than 1% and only one measurement had an average error greater than 2.54%. The deformable human inner ear atlas shows promise as a new method for automatically measuring the shape of the labyrinth.
本文介绍了一种使用图像配准和可变形内耳图谱来测量耳蜗、前庭、半规管和内耳道形状的新方法。
通过将内耳的计算机断层扫描图像置于共同方位进行分析，然后将内耳的数字图谱与数据集进行配准。使用反向一致弹性图像配准使图谱从其原始形状变形以匹配计算机断层扫描数据集中内耳的形状。此过程产生一个个性化的内耳图谱，其中包含目标计算机断层扫描数据集中内耳解剖结构的特定受试者测量值和分割结果。形状测量包括耳蜗、前庭、半规管和内耳道的体积和长度；以及半规管之间的角度。
基于真实内耳形状群体的形状生成了一个模拟内耳形状群体，并用于表征该方法的测量误差。使用可变形图谱测量了六名个体左右内耳的形状。
在我们模拟群体的24项测量中，有15项测量误差的平均误差小于1%，只有一项测量的平均误差大于2.54%。可变形人体内耳图谱有望成为一种自动测量迷路形状的新方法。
