Ibraheem Al-Dhamari, Rania Helal, Tougan Abdelaziz, Stephan Waldeck, Dietrich Paulus
Objectives: To propose an automated fast cochlear segmentation, length, and volume estimation method from clinical 3D multimodal images which has a potential role in the choice of cochlear implant type, surgery planning, and robotic surgeries. Methods: Two datasets from different countries were used. These datasets include 219 clinical 3D images of cochlea from 3 modalities: CT, CBCT, and MR. The datasets include different ages, genders, and types of cochlear implants. We propose an atlas-model-based method for cochlear segmentation and measurement based on high-resolution μ CT model and A -value...
November 3, 2023: Cochlear Implants International