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Smoothing for the Optimal Surface of a 3D Image Model of the Human Ossicles

Published online by Cambridge University Press:  31 August 2011

J.-F. Yu
Affiliation:
Graduate Institute of Medical Mechatronics, Taiouan Interdisciplinary Otolaryngology Laboratory, Chang Gung University, Tao-Yuan, Taiwan 33302, R.O.C.
C.-I. Chen
Affiliation:
Department of Mechanical Engineering, Chung Hua University, Hsinchu, Taiwan 30012, R.O.C.
C.-L. Fan
Affiliation:
Graduate Institute of Medical Mechatronics, Taiouan Interdisciplinary Otolaryngology Laboratory, Chang Gung University, Tao-Yuan, Taiwan 33302, R.O.C.
C.-K. Chen*
Affiliation:
Graduate Institute of Clinical Medicine, College of MedicineTaipei Medical University, Taipei, Taiwan 11031, R.O.C. Department of Otolaryngology, Chang Gung Memorial Hospital and Chang Gung UniversityTao-Yuan, Taiwan 33302, R.O.C.
*
****Medical doctor, corresponding author
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Abstract

This study assessed the optimal process for the surface smoothing of 3D image models of in vivo human ossicles. A 3D image model of the ossicles was reconstructed from high resolution computed tomography imaging data. Three smoothing methods including constrained smoothing, unconstrained smoothing and smoothsurface will be discussed. The volume of the 3D image model produced by unconstrained smoothing differed substantially from the original model volume prior to smoothing. Constrained smoothing had an uneven effect on the surface of the 3D image models. Using the smoothsurface module, we were able to obtain an optimal surface of the 3D image model of the human ossicles including the malleus, incus and stapes, using 20 iterations and a λ value of 0.6.

Type
Articles
Copyright
Copyright © The Society of Theoretical and Applied Mechanics, R.O.C. 2011

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