Three-dimensional modeling of the cochlea by use of an arc fitting approach. Issue 16 (9th December 2016)

• Record Type: Journal Article
• Authors: Schurzig, Daniel; Lexow, G. Jakob; Majdani, Omid; Lenarz, Thomas; Rau, Thomas S.
• Is Part Of: Computer methods in biomechanics and biomedical engineering. Volume 19:Issue 16(2016)
• Page Start: 1785
• Page End: 1799
• Publication Date: 2016-12-09
• Subjects: Segmentation -- cochlea modeling -- geometry simplification -- CAD model generation; Biomechanics -- Data processing -- Periodicals; Biomedical engineering -- Periodicals; Biomechanics -- Periodicals; Biomedical Engineering -- methods -- Periodicals; Computing Methodologies -- Periodicals; 612.7
• DOI: 10.1080/10255842.2016.1188921
• Languages: English
• ISSNs: 1025-5842

Abstract

Abstract : Purpose: A cochlea modeling approach is presented allowing for a user defined degree of geometry simplification which automatically adjusts to the patient specific anatomy. Model generation can be performed in a straightforward manner due to error estimation prior to the actual generation, thus minimizing modeling time. Therefore, the presented technique is well suited for a wide range of applications including finite element analyses where geometrical simplifications are often inevitable.Methods: The method is presented for n=5 cochleae which were segmented using a custom software for increased accuracy. The linear basilar membrane cross sections are expanded to areas while the scalae contours are reconstructed by a predefined number of arc segments. Prior to model generation, geometrical errors are evaluated locally for each cross section as well as globally for the resulting models and their basal turn profiles. The final combination of all reconditioned features to a 3D volume is performed in Autodesk Inventor using the loft feature.Results: Due to the volume generation based on cubic splines, low errors could be achieved even for low numbers of arc segments and provided cross sections, both of which correspond to a strong degree of model simplification. Model generation could be performed in a time efficient manner.Conclusion: The proposed simplification method was proven to be well suited for the helical cochlea geometry. The generated output data can be imported into commercial software tools for various analyses representing a time efficient way to create cochlea models optimally suited for the desired task.