A prerequisite for the modeling and understanding of the inner ear mechanics needs the accurate created membranous labyrinth. I present a semi-automated methodology for accurate reconstruction of the membranous labyrinth in vivo from high-resolution temporal bone CT data of normal human subjects. I created the new technique which was combined with the segmentation methodology, transparent, thresholding, and opacity curve algorithms. This technique allowed the simultaneous multiple image creating without any overlapping regions in the inner ear has been developed. The reconstructed 3D images improved the membranous labyrinth geometry to realistically represent physiologic dimensions. These generated membranous structures were in good agreement with the published ones, while this approach was the most realistic in terms of the membranous labyrinth. 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 scientists can create the membranous labyrinth in vivo in real time like a retinal camera.