Automatic segmentation of the facial nerve and chorda tympani in CT images using spatially dependent feature values
Automatic segmentation of the facial nerve and chorda tympani in CT images using spatially dependent feature values
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DOI：
10.1118/1.3005479
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发表时间：
2008-12-01
期刊：
影响因子：
3.8
通讯作者：
Dawant, Benoit M.
中科院分区：
文献类型：
--
作者：
Noble, Jack H.;Warren, Frank M.;Dawant, Benoit M.
在人工耳蜗植入手术中，电极阵列被永久植入耳蜗，以刺激听觉神经，让聋人听到。最近提出了一种微创手术技术-经皮耳蜗入路，其中从颅骨表面钻一个孔到耳蜗。为了使该方法可行，必须使用术前CT确定安全有效的钻孔轨迹。耳的结构的分割将提高轨迹规划的安全性和效率，并且使得自动规划成为可能。耳的两个重要结构，面神经和鼓索，由于它们的尺寸（直径分别小至1.0和0.3 mm），缺乏与相邻结构的对比度，以及患者间差异大，难以用传统方法分割。本文提出了一种基于模型的多部分分割算法，实现了面神经和鼓索的自动分割。10个测试耳朵的分割结果，手动分割表面进行比较。结果表明，面神经和腱索的结构壁定位的最大误差近似于2个体素，表明作者提出的方法是鲁棒的和准确的。
In cochlear implant surgery, an electrode array is permanently implanted in the cochlea to stimulate the auditory nerve and allow deaf people to hear. A minimally invasive surgical technique has recently been proposed-percutaneous cochlear access-in which a single hole is drilled from the skull surface to the cochlea. For the method to be feasible, a safe and effective drilling trajectory must be determined using a preoperative CT. Segmentation of the structures of the ear would improve trajectory planning safety and efficiency and enable the possibility of automated planning. Two important structures of the ear, the facial nerve and the chorda tympani, are difficult to segment with traditional methods because of their size (diameters as small as 1.0 and 0.3 mm, respectively), the lack of contrast with adjacent structures, and large interpatient variations. A multipart, model-based segmentation algorithm is presented in this article that accomplishes automatic segmentation of the facial nerve and chorda tympani. Segmentation results are presented for ten test ears and are compared to manually segmented surfaces. The results show that the maximum error in structure wall localization is similar to 2 voxels for the facial nerve and the chorda, demonstrating that the method the authors propose is robust and accurate.