The Membranous Labyrinth in vivo from High-Resolution Temporal Bone CT Data

appearance surface rendering, helps complex 3D Abstract Purpose: A prerequisite for the modeling and understanding of the inner ear mechanics needs the accurate created membranous labyrinth. We will present a semi-automated methodology for accurate reconstruction of the membranous labyrinth in the cochlea from high-resolution temporal bone CT data. Method: We created the new imaging technique which was combined with the segmentation methodology, transparent, Thresholding, and opacity curve algorithms. This technique allowed the simultaneous multiple images creating without any overlapping regions in the inner ear has been developed from temporal bone CT data. Results: The reconstructed 3D images improved the in vivo cochlear membranous labyrinth geometry to realistically rep resented physiologic dimensions. These generated membranous structures were in good agreement with the previously published ones, while this approach was the most realistic in terms of the membranous labyrinth in the cochlea. Conclusions: The precise volume rendering depends on proprietary algorithms so that different results can be obtained, and the images appear qualitatively different. For each anatomical question, a different visualization technique should be used to obtain an optimal result. All researchers can create the in vivo 3D membranous labyrinth in the cochlea in real-time like a retinal camera. This technique will be applied to a cone-beam CT dataset.