subject:(Cochlear Implant Programming)

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Vanderbilt University

1. Cakir, Ahmet. Use of patient-specific models for computer-assisted cochlear implant programming.

Degree: PhD, Computer Science, 2019, Vanderbilt University

► Sensorineural hearing loss affects over 10% of the U.S. population and is most commonly caused by damage to the hair cells that transduce sound into… (more)

▼ Sensorineural hearing loss affects over 10% of the U.S. population and is most commonly caused by damage to the hair cells that transduce sound into action potentials in the afferent neurons of the auditory nerve fibers. Direct electrical stimulation of the spiral ganglion cell bodies using a surgically implanted neuroprosthetic device known as a cochlear implant (CI) bypasses damaged hair cells and effectively restores hearing sensation for individuals experiencing severe-to-profound hearing loss. Although these devices have been remarkably successful at restoring hearing, it is rare to achieve natural fidelity, and many patients experience poor outcomes. The selection of appropriately sized electrode array is one of the factors that limits outcomes. An ideal electrode covers the entire frequency spectrum of the cochlea without causing cochlear trauma. Another factor is the post-implantation programming process that audiologists clinically use because, while existing devices permit manipulation of many settings that could lead to better performance, there are no objective cues available to indicate what setting changes will lead to better performance. Thus, the adjustment process often converges to sub-optimal settings and may require dozens of programming sessions. In this dissertation, several approaches are proposed to estimate subject-specific cochlear length, which can be used to select appropriately sized electrode arrays, and neural activation patterns (NAPs) that contain information on which group of nerve fibers are activated by each intra-cochlear electrode. NAPs are predicted via physics-based computational models of electrically stimulated cochlea coupled with auditory nerve fiber activation models that are parameterized by neural health. These models can potentially guide CI programming as we have shown that NAPs can be used to determine channel interaction artefacts which negatively affect hearing outcomes. We have also clinically validated the in-vivo estimations of subject specific health of auditory nerve fiber populations in different regions of the inner ear as regions of dead or degenerated nerve fibers in the inner ear are common among individuals experiencing hearing loss and are a major contributor to the high variability in hearing outcomes with CIs. Advisors/Committee Members: Benoit M. Dawant (committee member), Robert F. Labadie (committee member), Bennett A. Landman (committee member), Michael I. Miga (committee member), Jack H. Noble (Committee Chair).

Subjects/Keywords: computational models; neural activation; cochlear implant programming; Cochlear

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APA (6^th Edition):

Cakir, A. (2019). Use of patient-specific models for computer-assisted cochlear implant programming. (Doctoral Dissertation). Vanderbilt University. Retrieved from http://hdl.handle.net/1803/12955

Chicago Manual of Style (16^th Edition):

Cakir, Ahmet. “Use of patient-specific models for computer-assisted cochlear implant programming.” 2019. Doctoral Dissertation, Vanderbilt University. Accessed January 18, 2021. http://hdl.handle.net/1803/12955.

MLA Handbook (7^th Edition):

Cakir, Ahmet. “Use of patient-specific models for computer-assisted cochlear implant programming.” 2019. Web. 18 Jan 2021.

Vancouver:

Cakir A. Use of patient-specific models for computer-assisted cochlear implant programming. [Internet] [Doctoral dissertation]. Vanderbilt University; 2019. [cited 2021 Jan 18]. Available from: http://hdl.handle.net/1803/12955.

Council of Science Editors:

Cakir A. Use of patient-specific models for computer-assisted cochlear implant programming. [Doctoral Dissertation]. Vanderbilt University; 2019. Available from: http://hdl.handle.net/1803/12955

2. Browning, Leanne. Audiologists’ preferences in programming cochlear implants.

Degree: 2019, James Madison University

URL: https://commons.lib.jmu.edu/diss201019/212

► Cochlear implants have become a viable option for those with severe to profound sensorineural hearing loss who gain little benefit from hearing aids and have… (more)

▼ Cochlear implants have become a viable option for those with severe to profound sensorineural hearing loss who gain little benefit from hearing aids and have poor word recognition ability. However, the techniques audiologists use to program these devices are not standardized (Sorkin, 2013). There is little data available which analyzes how audiologists handle clinical cochlear implant programming between the top manufacturers. These companies supply default settings in their products but is it unknown how often audiologists use these in practice in the United States. In the present study, a questionnaire based on previous European data from Vaerenberg et al. (2014) was designed to address which settings professionals are using with their patients, how they approach bimodal fitting with a cochlear implant and a hearing aid, and which tests they use to evaluate patient and device performance. This questionnaire was distributed through the platform, Qualtrics, to cochlear implant audiologists throughout the United States by email. 47 responses were recorded with a response rate of 70%. Results indicate a preference for the default value for some parameters, like default pulse width, but not others. Additionally, there are differences between manufacturers, including in the use of default strategy. Relative to Cochlear, there is a trend toward less use of default strategy for MED-EL and especially Advanced Bionics. Preferences for bimodal fitting techniques trend toward using a partner company’s hearing aid, like Cochlear and ReSound. There is no significant correlation between number of implants activated and preference for default. New and experienced audiologists may benefit from this research in that they may better understand the state of the art of cochlear implant programming. It is clear that there is much variability among audiologists’ cochlear implant programming practices, and documenting these differences is important for the betterment of the field. Advisors/Committee Members: Yingjiu Nie, Ayaskanta Rout.

Subjects/Keywords: cochlear implant; audiology; hearing aid; programming; bimodal; Speech Pathology and Audiology

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Browning, L. (2019). Audiologists’ preferences in programming cochlear implants. (Doctoral Dissertation). James Madison University. Retrieved from https://commons.lib.jmu.edu/diss201019/212

Chicago Manual of Style (16^th Edition):

Browning, Leanne. “Audiologists’ preferences in programming cochlear implants.” 2019. Doctoral Dissertation, James Madison University. Accessed January 18, 2021. https://commons.lib.jmu.edu/diss201019/212.

MLA Handbook (7^th Edition):

Browning, Leanne. “Audiologists’ preferences in programming cochlear implants.” 2019. Web. 18 Jan 2021.

Vancouver:

Browning L. Audiologists’ preferences in programming cochlear implants. [Internet] [Doctoral dissertation]. James Madison University; 2019. [cited 2021 Jan 18]. Available from: https://commons.lib.jmu.edu/diss201019/212.

Council of Science Editors:

Browning L. Audiologists’ preferences in programming cochlear implants. [Doctoral Dissertation]. James Madison University; 2019. Available from: https://commons.lib.jmu.edu/diss201019/212

Vanderbilt University

3. Reda, Fitsum Aklilu. Automatic Segmentation of Structures and Registration of CT Images for Image-Guided Otologic Surgery and Implant Programming.

Degree: PhD, Electrical Engineering, 2014, Vanderbilt University

URL: http://hdl.handle.net/1803/11124

► A cochlear implant (CI) is a neural prosthetic device that restores hearing by directly stimulating the auditory nerve using an electrode array surgically placed in… (more)

▼ A cochlear implant (CI) is a neural prosthetic device that restores hearing by directly stimulating the auditory nerve using an electrode array surgically placed in the cochlea. Conventional CI implantation techniques require major excavation of the skull to achieve access and place an electrode array into the cochlea. After placement, CIs are typically programmed to attempt to optimize hearing outcome. Recently, image-guidance has been proposed to minimize the invasiveness of conventional CI surgery techniques as well as to design new strategies to improve CI programming outcomes. These image-guided techniques necessitate the automatic segmentation of the structures of the ear in pre- or post-implantation CTs, or the automatic registration of pre- and intra-implantation CTs. The structures of the ear include the facial nerve, the chorda tympani, the labyrinth, the ear canal, the tympani membrane, the ossicles, and the inner ear structures, which include the scala tympani, the scala vestibuli and the spiral ganglion. In this dissertation, we present a set of innovative image processing techniques we have developed to achieve the necessary segmentation or registration tasks. The set of techniques includes methods for automatic segmentation of the structures of the ear in pediatric pre-implantation CT, a new pose-invariant pre- to intra-implantation CT registration method, new algorithms for automatic segmentation of the inner ear structures in post-unilateral-implantation CT, and novel shape library-based algorithms for automatic segmentation of the inner ear structures in post-bilateral-implantation CT. All these techniques have been validated both qualitatively, by experts in ear anatomy, and quantitatively, by comparing the results they produce to expert generated results. Advisors/Committee Members: Dr. J. Michael Fitzpatrick (committee member), Dr. Robert F. Labadie (committee member), Dr. Jack H. Noble (committee member), Dr. Robert J. Webster III (committee member), Dr. Benoit M. Dawant (Committee Chair).

Subjects/Keywords: Image Segmentation; Image Registration; Statistical Shape Models; Surface-to-Image Registration; Shape Alignment; Cochlear Imaplnt; Cochlear Implant Surgery; Cochlear Implant Programming; CT; Ear; Minimally-invasive Surgery

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Reda, F. A. (2014). Automatic Segmentation of Structures and Registration of CT Images for Image-Guided Otologic Surgery and Implant Programming. (Doctoral Dissertation). Vanderbilt University. Retrieved from http://hdl.handle.net/1803/11124

Chicago Manual of Style (16^th Edition):

Reda, Fitsum Aklilu. “Automatic Segmentation of Structures and Registration of CT Images for Image-Guided Otologic Surgery and Implant Programming.” 2014. Doctoral Dissertation, Vanderbilt University. Accessed January 18, 2021. http://hdl.handle.net/1803/11124.

MLA Handbook (7^th Edition):

Reda, Fitsum Aklilu. “Automatic Segmentation of Structures and Registration of CT Images for Image-Guided Otologic Surgery and Implant Programming.” 2014. Web. 18 Jan 2021.

Vancouver:

Reda FA. Automatic Segmentation of Structures and Registration of CT Images for Image-Guided Otologic Surgery and Implant Programming. [Internet] [Doctoral dissertation]. Vanderbilt University; 2014. [cited 2021 Jan 18]. Available from: http://hdl.handle.net/1803/11124.

Council of Science Editors:

Reda FA. Automatic Segmentation of Structures and Registration of CT Images for Image-Guided Otologic Surgery and Implant Programming. [Doctoral Dissertation]. Vanderbilt University; 2014. Available from: http://hdl.handle.net/1803/11124

University of Melbourne

4. Gajadeera, Emalka Ashanthi. A study of electrical stimulation levels over 10 years for adults using Nucleus cochlear implants.

Degree: 2017, University of Melbourne

URL: http://hdl.handle.net/11343/192343

► Cochlear implants have improved sound perception for thousands of people with severe and profound sensorineural hearing loss. To ensure a good quality sound signal, the… (more)

▼ Cochlear implants have improved sound perception for thousands of people with severe and profound sensorineural hearing loss. To ensure a good quality sound signal, the implant must be individually programmed throughout the user’s lifetime. Programming determines the electrical stimulation level requirements for each electrode of the implant. The frequency with which programming occurs has so far been based primarily on clinical experience and resources available to the clinic for programming purposes. To develop an evidence-based schedule for the frequency of programming, a comprehensive investigation of the change in electrical stimulation level requirements over time for a large group of adults is necessary. The overall purpose of this retrospective study was therefore to investigate the change in electrical stimulation levels up to 10 years postimplantation for a large group of adults using Nucleus cochlear implants. In addition, this study also aimed to investigate whether demographic characteristics and electrode array segments were predictive of the change in electrical stimulation levels. The Cochlear Implant Clinic of the Royal Victorian Eye and Ear Hospital, Victoria, Australia, has been providing programming services for cochlear implant users for over 25 years. The electrical stimulation data obtained at the programming sessions were extracted for 680 participants who used a Nucleus® cochlear implant over the course of 10 years. For each implant user, programming data for the following time points were extracted from Cochlear Limited’s TM Custom Sound 3.2® fitting software: 2, 3, 6, 9 months postimplantation and biennial time points from 1 year up to 10 years postimplantation. For each time point, the mean T level, C level, and dynamic range (DR) were calculated separately for four electrode array segments: apical (mean of electrodes 22, 20, 18), medial (16, 14, and 10) upper-basal (7, 6), and lower-basal (4, 3). The degree of change (DC) in levels between consecutive time points was also calculated. Long-term changes in electrical stimulation levels were also investigated for 128 participants from the same group who had adequate programming data up to 10 years postimplantation. The trends and amount of change in programming levels were investigated separately for the four electrode array segments using regression analyses. The effects of several demographic characteristics (e.g., aetiology and onset of hearing loss) were also investigated. For the 680 participants, the average T levels and C levels were consistent from 3 months and 6 months postimplantation, respectively. In terms of the degree of change between time points, the majority of participants showed an average of ≤ 20% change in levels as a function of DR after the 3- to 6-month time point comparison postimplantation. Long-term patterns of change for 128 individual participants showed that, for 42% of these participants, the electrical stimulation levels remained relatively stable without any significant trends for either the T levels or…

Subjects/Keywords: cochlear implant; hearing loss; deafness; mapping; programming; sensorineural; Nucleus; threshold; comfort level

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Gajadeera, E. A. (2017). A study of electrical stimulation levels over 10 years for adults using Nucleus cochlear implants. (Doctoral Dissertation). University of Melbourne. Retrieved from http://hdl.handle.net/11343/192343

Chicago Manual of Style (16^th Edition):

Gajadeera, Emalka Ashanthi. “A study of electrical stimulation levels over 10 years for adults using Nucleus cochlear implants.” 2017. Doctoral Dissertation, University of Melbourne. Accessed January 18, 2021. http://hdl.handle.net/11343/192343.

MLA Handbook (7^th Edition):

Gajadeera, Emalka Ashanthi. “A study of electrical stimulation levels over 10 years for adults using Nucleus cochlear implants.” 2017. Web. 18 Jan 2021.

Vancouver:

Gajadeera EA. A study of electrical stimulation levels over 10 years for adults using Nucleus cochlear implants. [Internet] [Doctoral dissertation]. University of Melbourne; 2017. [cited 2021 Jan 18]. Available from: http://hdl.handle.net/11343/192343.

Council of Science Editors:

Gajadeera EA. A study of electrical stimulation levels over 10 years for adults using Nucleus cochlear implants. [Doctoral Dissertation]. University of Melbourne; 2017. Available from: http://hdl.handle.net/11343/192343

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