Share Email Print
cover

Proceedings Paper

Statistical shape modeling of human cochlea: alignment and principal component analysis
Author(s): Anton A. Poznyakovskiy; Thomas Zahnert; Björn Fischer; Nikoloz Lasurashvili; Yannis Kalaidzidis; Dirk Mürbe
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper Abstract

The modeling of the cochlear labyrinth in living subjects is hampered by insufficient resolution of available clinical imaging methods. These methods usually provide resolutions higher than 125 μm. This is too crude to record the position of basilar membrane and, as a result, keep apart even the scala tympani from other scalae. This problem could be avoided by the means of atlas-based segmentation. The specimens can endure higher radiation loads and, conversely, provide better-resolved images. The resulting surface can be used as the seed for atlas-based segmentation. To serve this purpose, we have developed a statistical shape model (SSM) of human scala tympani based on segmentations obtained from 10 μCT image stacks. After segmentation, we aligned the resulting surfaces using Procrustes alignment. This algorithm was slightly modified to accommodate single models with nodes which do not necessarily correspond to salient features and vary in number between models. We have established correspondence by mutual proximity between nodes. Rather than using the standard Euclidean norm, we have applied an alternative logarithmic norm to improve outlier treatment. The minimization was done using BFGS method. We have also split the surface nodes along an octree to reduce computation cost. Subsequently, we have performed the principal component analysis of the training set with Jacobi eigenvalue algorithm. We expect the resulting method to help acquiring not only better understanding in interindividual variations of cochlear anatomy, but also a step towards individual models for pre-operative diagnostics prior to cochlear implant insertions.

Paper Details

Date Published: 28 February 2013
PDF: 6 pages
Proc. SPIE 8670, Medical Imaging 2013: Computer-Aided Diagnosis, 86702N (28 February 2013); doi: 10.1117/12.2007589
Show Author Affiliations
Anton A. Poznyakovskiy, Universitätsklinikum Carl Gustav Carus Dresden (Germany)
Thomas Zahnert, Universitätsklinikum Carl Gustav Carus Dresden (Germany)
Björn Fischer, Fraunhofer-Institut für Zerstörungsfreie Prüfverfahren (Germany)
Nikoloz Lasurashvili, Universitätsklinikum Carl Gustav Carus Dresden (Germany)
Yannis Kalaidzidis, Max-Planck-Institut für molekulare Zellbiologie und Genetik (Germany)
Belozersky Institute Physico-Chemical Biology, Moscow State Univ. (Russian Federation)
Dirk Mürbe, Saxonian Cochlea-Implant-Ctr., Universitätsklinikum Carl Gustav Carus Dresden (Germany)


Published in SPIE Proceedings Vol. 8670:
Medical Imaging 2013: Computer-Aided Diagnosis
Carol L. Novak; Stephen Aylward, Editor(s)

© SPIE. Terms of Use
Back to Top