This chapter explores the critical role of cochlear imaging as applied to the field of cochlear implants (CI), focusing on the distinct phases of the implantation process: preoperative, intraoperative, and postoperative imaging. We explore various applications of imaging in otology, detailing its use in anatomical measurements for surgical diagnosis, surgical planning, and post-implantation CI fitting. Key imaging modalities such as X-ray and fluoroscopy, computed tomography (CT), cone-beam CT (CBCT), photon counting CT (PCCT), magnetic resonance imaging (MRI), and micro-CT are discussed, along with potential future advancements in imaging technology with synchrotron imaging. The integration of artificial intelligence (AI) in cochlear imaging is examined, highlighting how AI algorithms enhance imaging processes through segmentation to obtain accurate three-dimensional (3D) models of the patient’s anatomy, the fusion of information across modalities through image registration, landmark detection, and electrode array detection for estimating the placement of the electrode and patient-specific tonotopic mapping. This chapter also addresses the detection of congenital malformations and provides insights into the types of algorithms employed, their advantages, limitations, and principles of operation. Available datasets are presented, and the evaluation of these techniques is discussed. Finally, platforms integrating these techniques, which promise the transformative impact of AI on cochlear imaging, are showcased. In conclusion, the chapter offers final thoughts emphasizing the ongoing advancements in AI and imaging resolution that promise to further revolutionize cochlear imaging technology.

错误:搜索内容不能为空,请输入英文关键词
错误:关键词超出字数限制,请精简
高级检索

Medical Imaging and Artificial Intelligence in Cochlear Implantation

  • Jan Margeta,
  • Paula López Diez,
  • Behnam Molaee-Ardekani,
  • Thomas Demarcy

摘要

This chapter explores the critical role of cochlear imaging as applied to the field of cochlear implants (CI), focusing on the distinct phases of the implantation process: preoperative, intraoperative, and postoperative imaging. We explore various applications of imaging in otology, detailing its use in anatomical measurements for surgical diagnosis, surgical planning, and post-implantation CI fitting. Key imaging modalities such as X-ray and fluoroscopy, computed tomography (CT), cone-beam CT (CBCT), photon counting CT (PCCT), magnetic resonance imaging (MRI), and micro-CT are discussed, along with potential future advancements in imaging technology with synchrotron imaging. The integration of artificial intelligence (AI) in cochlear imaging is examined, highlighting how AI algorithms enhance imaging processes through segmentation to obtain accurate three-dimensional (3D) models of the patient’s anatomy, the fusion of information across modalities through image registration, landmark detection, and electrode array detection for estimating the placement of the electrode and patient-specific tonotopic mapping. This chapter also addresses the detection of congenital malformations and provides insights into the types of algorithms employed, their advantages, limitations, and principles of operation. Available datasets are presented, and the evaluation of these techniques is discussed. Finally, platforms integrating these techniques, which promise the transformative impact of AI on cochlear imaging, are showcased. In conclusion, the chapter offers final thoughts emphasizing the ongoing advancements in AI and imaging resolution that promise to further revolutionize cochlear imaging technology.