Zusammenfassung
The exact cochlear length and size are required is an important factor of selecting the suitable cochlear implant. We present a fast cochlear length and volume size estimation method from clinical multi-modal medical images. The method utilizes atlas-model-based segmentation to estimate a transformation from a model to an input volume. The result is used to transform a well-defined segmentation and a points-set of a scala tympani to the input image that segments and estimates the scala tympani length in a few seconds using standard hardware e.g. a laptop.
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Al-Dhamari I, Bauer S, Paulus D, et al. ACIR: automatic cochlea image registration. Proc SPIE. 2017;10133(10):1–5.
Al-Dhamari I, Bauer S, Paulus D, et al. Automatic cochlear length and volume size estimation. OR 20 Context-Aware Oper Theaters, Comput Assist Rob Endosc. 2018; p. 54–61.
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© 2019 Springer Fachmedien Wiesbaden GmbH, ein Teil von Springer Nature
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Al-Dhamari, I., Bauer, S., Paulus, D., Hilal, R., Lissek, F., Jacob, R. (2019). Abstract: Automatic Estimation of Cochlear Duct Length and Volume Size. In: Handels, H., Deserno, T., Maier, A., Maier-Hein, K., Palm, C., Tolxdorff, T. (eds) Bildverarbeitung für die Medizin 2019. Informatik aktuell. Springer Vieweg, Wiesbaden. https://doi.org/10.1007/978-3-658-25326-4_15
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DOI: https://doi.org/10.1007/978-3-658-25326-4_15
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