Propagation-based phase-contrast tomography of a guinea pig inner ear with cochlear implant using a model-based iterative reconstruction algorithm.

Propagation-based phase-contrast tomography of a guinea pig inner ear with cochlear implant using a model-based iterative reconstruction algorithm.

Hehn, Lorenz;Gradl, Regine;Voss, Andrej;Günther, Benedikt;Dierolf, Martin;Jud, Christoph;Willer, Konstantin;Allner, Sebastian;Hammel, Jörg U;Hessler, Roland;Morgan, Kaye S;Herzen, Julia;Hemmert, Werner;Pfeiffer, Franz;
Biomedical optics express 2018 Vol. 9 pp. 5330-5339
258
hehn2018propagationbasedbiomedical

Abstract

Propagation-based phase-contrast computed tomography has become a valuable tool for visualization of three-dimensional biological samples, due to its high contrast between materials with similar attenuation properties. However, one of the most-widely used phase-retrieval algorithms imposes a homogeneity assumption onto the sample, which leads to artifacts for numerous applications where this assumption is violated. Prominent examples are biological samples with highly-absorbing implants. Using synchrotron radiation, we demonstrate by the example of a guinea pig inner ear with a cochlear implant electrode, how a recently developed model-based iterative algorithm for propagation-based phase-contrast computed tomography yields distinct benefits for such a task. We find that the model-based approach improves the overall image quality, removes the detrimental influence of the implant and accurately visualizes the cochlea.

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