Kjer, H Martin; Fagertun, Jens; Wimmer, Wilhelm; Gerber, Nicolas; Vera, Sergio; Barazzetti, Livia; Mangado, Nerea; Ceresa, Mario; Piella, Gemma; Stark, Thomas; Stauber, Martin; Reyes, Mauricio; Weber, Stefan; Caversaccio, Marco; González Ballester, Miguel Ángel; Paulsen, Rasmus R (2018). Patient-specific estimation of detailed cochlear shape from clinical CT images. International Journal of Computer Assisted Radiology and Surgery, 13(3), pp. 389-396. Springer 10.1007/s11548-017-1701-7
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10.1007%2Fs11548-017-1701-7.pdf - Published Version Available under License Publisher holds Copyright. Download (1MB) | Preview |
PURPOSE
A personalized estimation of the cochlear shape can be used to create computational anatomical models to aid cochlear implant (CI) surgery and CI audio processor programming ultimately resulting in improved hearing restoration. The purpose of this work is to develop and test a method for estimation of the detailed patient-specific cochlear shape from CT images.
METHODS
From a collection of temporal bone [Formula: see text]CT images, we build a cochlear statistical deformation model (SDM), which is a description of how a human cochlea deforms to represent the observed anatomical variability. The model is used for regularization of a non-rigid image registration procedure between a patient CT scan and a [Formula: see text]CT image, allowing us to estimate the detailed patient-specific cochlear shape.
RESULTS
We test the accuracy and precision of the predicted cochlear shape using both [Formula: see text]CT and CT images. The evaluation is based on classic generic metrics, where we achieve competitive accuracy with the state-of-the-art methods for the task. Additionally, we expand the evaluation with a few anatomically specific scores.
CONCLUSIONS
The paper presents the process of building and using the SDM of the cochlea. Compared to current best practice, we demonstrate competitive performance and some useful properties of our method.
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