Customized selection of frequency maps in an acoustic simulation of a cochlear implant

Fitzgerald, Matthew B.; Morbiwala, Tasnim A.; Svirsky, Mario A.

doi:10.1109/iembs.2006.4398225

Cited by 6 publications

(6 citation statements)

References 9 publications

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“…In this way, participants can listen until they select a frequency table that maximizes speech intelligibility. Data obtained with normal-hearing individuals listening to an acoustic simulation of an implant suggests that these judgments are made on the basis of speech intelligibility as opposed to other factors (Fitzgerald et al, 2006;Fitzgerald et al, forthcoming), and pilot data with cochlear implant users also suggests this to be the case. With regard to the present line of research, we obtain self-selected frequency tables from users of bilateral implants in two listening conditions.…”

Section: Bilateral Cochlear Implantsmentioning

confidence: 99%

Current and Planned Cochlear Implant Research at New York University Laboratory for Translational Auditory Research

Svirsky

Fitzgerald²,

Neuman³

et al. 2012

J Am Acad Audiol

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The Laboratory of Translational Auditory Research (LTAR/NYUSM) is part of the Department of Otolaryngology at the New York University School of Medicine and has close ties to the New York University Cochlear Implant Center. LTAR investigators have expertise in multiple related disciplines including speech and hearing science, audiology, engineering, and physiology. The lines of research in the laboratory deal mostly with speech perception by hearing impaired listeners, and particularly those who use cochlear implants (CIs) or hearing aids (HAs). Although the laboratory's research interests are diverse, there are common threads that permeate and tie all of its work. In particular, a strong interest in translational research underlies even the most basic studies carried out in the laboratory. Another important element is the development of engineering and computational tools, which range from mathematical models of speech perception to software and hardware that bypass clinical speech processors and stimulate cochlear implants directly, to novel ways of analyzing clinical outcomes data. If the appropriate tool to conduct an important experiment does not exist, we may work to develop it, either in house or in collaboration with academic or industrial partners. Another notable characteristic of the laboratory is its interdisciplinary nature where, for example, an audiologistandan engineer might work closely to develop an approach that would not have been feasible if each had worked singly on the project. Similarly, investigators with expertise in hearing aids and cochlear implants might join forces to study how human listeners integrate information provided by a CI and a HA. The following pages provide a flavor of the diversity and the commonalities of our research interests.

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Section: Bilateral Cochlear Implantsmentioning

confidence: 99%

Current and Planned Cochlear Implant Research at New York University Laboratory for Translational Auditory Research

Svirsky

Fitzgerald²,

Neuman³

et al. 2012

J Am Acad Audiol

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“…In image‐guided CI programming, knowledge of electrode array placement within the cochlea is required to determine the appropriate frequency to match to each individual electrode, thereby reducing the effects of frequency placed mismatching (Meng et al ., ; Noble et al ., ). Additionally, postimplantation custom frequency maps can be generated, whereby frequencies are programmed specific to the anatomy of the patient and the placement of their electrode array (Fitzgerald et al ., ; Noble et al ., ; Ali et al ., ). Although research on the effect of frequency placed mismatching and the benefit of individualized image‐based frequency map fitting is in its infancy, initial results are showing clinical relevance (Di Nardo et al ., ; Hochmair et al ., ; Venail et al ., ; Meng et al ., ).…”

Section: Discussionmentioning

confidence: 99%

Effects of object‐to‐detector distance and beam energy on synchrotron radiation phase‐contrast imaging of implanted cochleae

Rohani

Iyaniwura

Zhu

et al. 2018

Journal of Microscopy

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Summary Objectives To demonstrate that synchrotron radiation phase‐contrast imaging (SR‐PCI) can be used to visualize the intrascalar structures in implanted human cochleae and to find the optimal combination of the parameters object‐to‐detector distance (ODD) and beam energy (E) for visualization. Materials and Methods Three cadaveric implanted human temporal bones underwent SR‐PCI with varying combinations of parameters ODD (3, 2 and 1 m) and E (47, 60 and 72 keV). All images were then reconstructed to a three‐dimensional (3D) stack of slices. The acquired 3D images were compared using contrast‐to‐noise ratios (CNRs) of the basilar membrane (CNRitalicBM) and the electrode array (CNRE) and the standard deviation of the beam streaks (σS). Postprocessing calculations were performed using Matlab (Version 2017b, MathWorks Inc., Natick, MA, U.S.A.) with a standard significance level p < 0.05 to determine the most optimal combination of parameters. Results SR‐PCI with computed tomography reconstruction provided good visualization of the anatomical features of the implanted cochleae, specifically the exact location of the electrode with respect to the BM. A single‐factor ANOVA revealed a significant difference of variance for both CNRE and CNRBM, but failed to show significance for σS. A two‐sample t‐test failed to show any significant difference between CNRE columns of (3 m, 72 keV) and (2 m, 60 keV). The CNRBM was significantly different only at two pairs of columns, when (1 m, 72 keV) was compared against (2 m, 72 keV) and (3 m, 72 keV). Conclusions The results of this study show that SR‐PCI is a viable method to visualize implanted human cochleae. SR‐PCI is less invasive, less labour intensive and is associated with a much lower acquisition time compared to other methods for postimplantation imaging in humans, such as histological sectioning. We found that the optimal combination of E and ODD parameters was 72 keV and 2 m, respectively. These parameters resulted in high‐contrast images of the electrode as well as all internal structures of the cochleae. Lay Description Cochlear implants (CI) are currently the preferred method of treatment for hearing loss. Cochlear implantation surgery involves placement of a metallic, wire‐shaped electrode inside the cochlea, the main organ of the human hearing system. Knowledge of the exact location of the electrode after implantation is beneficial in improving the extent of restored hearing. Common clinical imaging modalities such as computed‐tomography (CT) are not ideal for providing such information, due to lack of resolution and streaking caused by the metallic electrode. Recent studies have developed algorithms to extract the electrode location from clinical computed‐tomography images and have been validated using histology or micro computed‐tomography (micro‐CT). Synchrotron radiation phase contrast imaging (SR‐PCI) is a high‐resolution imaging technique used to visualize small structures in three dimensions. Recently, SR‐PCI has been shown to be an alternative to histolog...

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“…Filterbanks for the acoustic model were based on those previously used11–12. The first filterbank to be created was identical to the standard frequency table for the Nucleus Freedom device (Cochlear Corp.).…”

Section: Methodsmentioning

confidence: 99%

A New Software Tool to Optimize Frequency Table Selection for Cochlear Implants

Jethanamest

Tan

Fitzgerald

et al. 2010

Otology &Amp; Neurotology

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Hypothesis-When cochlear implant (CI) users are allowed to self-select the "most intelligible" frequency-to-electrode table, some of them choose one that differs from the default frequency table that is normally used in clinical practice.Background-Cochlear implants (CI) reproduce the tonotopicity of normal cochleas using frequency-to-electrode tables that assign stimulation of more basal electrodes to higher frequencies and more apical electrodes to lower frequency sounds. Current audiological practice uses a default frequency-to-electrode table for most patients. However, individual differences in cochlear size, neural survival and electrode positioning may result in different tables sounding most intelligible to different patients. No clinical tools currently exist to facilitate this fitting.

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Customized selection of frequency maps in an acoustic simulation of a cochlear implant

Cited by 6 publications

References 9 publications

Current and Planned Cochlear Implant Research at New York University Laboratory for Translational Auditory Research

Current and Planned Cochlear Implant Research at New York University Laboratory for Translational Auditory Research

Effects of object‐to‐detector distance and beam energy on synchrotron radiation phase‐contrast imaging of implanted cochleae

A New Software Tool to Optimize Frequency Table Selection for Cochlear Implants

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