人工耳蜗植入CT图像分析的自动化技术
图像与视频处理
2021-08-23 v1 计算机视觉与模式识别
摘要
本学位论文的目标是使IGCIP术后阶段所需的图像处理技术完全自动化,并对(a)IGCIP中所用自动图像处理技术的鲁棒性,以及(b)IGCIP整体流程对各单独组件的敏感性进行透彻分析。已开发的自动方法包括:在植入后CT中自动定位紧密与稀疏排布的CI电极阵列,以及基于刺激模式自动选择电极配置。结合现有为IGCIP开发的自动技术,所提自动方法实现了端到端的IGCIP流程,以植入前与植入后CT图像为输入,输出患者定制化的电极配置。
引用
@article{arxiv.1909.10922,
title = {Automatic techniques for cochlear implant CT image analysis},
author = {Yiyuan Zhao},
journal= {arXiv preprint arXiv:1909.10922},
year = {2021}
}
备注
This is a preprint of Yiyuan Zhao's Ph.D. dissertation from Vanderbilt University, Nashville, TN, USA. Trivial formatting modifications have been made in the arxiv version for readability. Vanderbilt University Electronic These & Dissertation (https://etd.library.vanderbilt.edu/) has the original submission on May 11 2018, and will be released on May 11 2020