16 November 2017 Cochlear implant phantom for evaluating computed tomography acquisition parameters
Author Affiliations +
Cochlear implants (CIs) are surgically implantable neuroprosthetic devices used to treat profound hearing loss. Recent literature indicates that there is a correlation between the final intracochlear positioning of the CI electrode arrays and the ultimate hearing outcome of the patient, indicating that further studies to better understand the relationship between electrode position and outcomes could have significant implications for future surgical techniques, array design, and processor programming methods. Postimplantation high-resolution computed tomography (CT) imaging is the best modality for localizing electrodes and provides the resolution necessary to visually identify electrode position, although with an unknown degree of accuracy depending on image acquisition parameters, like the hounsfield unit (HU) range of reconstruction, orientation, radiation dose, and image resolution. We report on the development of a phantom and on its use to study how four acquisition parameters, including image resolution and HU range of reconstruction, affect how accurately the true position of the electrodes can be found in a dataset of CT scans acquired from multiple helical and cone beam scanners. We also show how the phantom can be used to evaluate the effect of acquisition parameters on automatic electrode localization techniques.
© 2017 Society of Photo-Optical Instrumentation Engineers (SPIE)
Srijata Chakravorti, Srijata Chakravorti, Brian J. Bussey, Brian J. Bussey, Yiyuan Zhao, Yiyuan Zhao, Benoit M. Dawant, Benoit M. Dawant, Robert F. Labadie, Robert F. Labadie, Jack H. Noble, Jack H. Noble, } "Cochlear implant phantom for evaluating computed tomography acquisition parameters," Journal of Medical Imaging 4(4), 045002 (16 November 2017). https://doi.org/10.1117/1.JMI.4.4.045002 . Submission: Received: 15 April 2017; Accepted: 27 October 2017
Received: 15 April 2017; Accepted: 27 October 2017; Published: 16 November 2017

Back to Top