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Automatic cochlear multimodal 3D image segmentation and analysis using atlas–model-based method

Ibraheem Al-Dhamari, Rania Helal, Tougan Taha Abdelaziz, Stephan Waldeck, Dietrich Paulus

Year
2023
Citations
10

Abstract

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. -value. The method was evaluated using 3D landmarks located by two experts. , the cochlear length ranged from 36.69 to 45.91 mm at the lateral wall and from 29.12 to 39.05 mm at the organ of Corti. -value. This automatic cochlear image segmentation and analysis method can help clinician process multimodal cochlear images in approximately 5 seconds using a simple computer. The proposed method is publicly available for free download as an extension for 3D Slicer software.

Keywords

SegmentationComputer scienceArtificial intelligenceAtlas (anatomy)Cochlear implantCochlear implantationComputer visionImage segmentationSpeech recognitionAudiology

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