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. 2021 Feb 24;11:4437. doi: 10.1038/s41598-021-83225-w

Three-dimensional tonotopic mapping of the human cochlea based on synchrotron radiation phase-contrast imaging

Hao Li 1,✉, Luke Helpard 2, Jonas Ekeroot 1, Seyed Alireza Rohani 3, Ning Zhu 4, Helge Rask-Andersen 1,✉,#, Hanif M Ladak 2,3,5,6,#, Sumit Agrawal 2,3,5,6,#
PMCID: PMC7904830  PMID: 33627724

Abstract

The human cochlea transforms sound waves into electrical signals in the acoustic nerve fibers with high acuity. This transformation occurs via vibrating anisotropic membranes (basilar and tectorial membranes) and frequency-specific hair cell receptors. Frequency-positions can be mapped within the cochlea to create a tonotopic chart which fits an almost-exponential function with lowest frequencies positioned apically and highest frequencies positioned at the cochlear base (Bekesy 1960, Greenwood 1961). To date, models of frequency positions have been based on a two-dimensional analysis with inaccurate representations of the cochlear hook region. In the present study, the first three-dimensional frequency analysis of the cochlea using dendritic mapping to obtain accurate tonotopic maps of the human basilar membrane/organ of Corti and the spiral ganglion was performed. A novel imaging technique, synchrotron radiation phase-contrast imaging, was used and a spiral ganglion frequency function was estimated by nonlinear least squares fitting a Greenwood-like function (F = A (10ax − K)) to the data. The three-dimensional tonotopic data presented herein has large implications for validating electrode position and creating customized frequency maps for cochlear implant recipients.

Subject terms: Anatomy, Health care, Medical research, Neurology, Physics

Introduction

The human cochlea is a spiral structure of the inner ear contained within the temporal bone, the densest bone in the body. To produce the sensation of hearing, sound vibrations are transmitted to the cochlea and transduced into electrical activity along the basilar membrane (BM). The BM is a soft-tissue structure which spatially separates acoustic vibrations based on frequency, resulting in a spatial cochlear frequency map. This spatial distribution of frequencies is referred to as cochlear tonotopy. Nerve fibers traverse from the BM to the spiral ganglion (SG), a structure closer to the axis of rotation of the cochlear spiral which contains neuron cell bodies.

The delicate tissue and sensory cells responsible for this mechanoelectrical transduction in the inner ear are at a high risk of damage, which can lead to sensorineural hearing loss. This sensory cell damage (and associated sensorineural hearing loss) can result from genetic causes, birth complications, infections, certain drugs, noise exposure, and with age. In the Global Burden of Disease Study, hearing loss was found to be the fourth leading cause of disability; higher than diabetes, dementia, and chronic obstructive pulmonary disease1. According to the World Health Organization2, 466 million people worldwide have disabling hearing loss, 34 million of which are children. In recent years, there has been remarkable progress in the treatment of severe and profound sensorineural hearing loss with cochlear implantation (CI) both in children and adults. In CI, electrode arrays are inserted into the cochlea to directly stimulate the nerve fibers with electrical signals, thereby by-passing the failing sensory cells and mechanoelectrical transduction. CI has become the preferred method for treating many individuals with hearing loss, including children born with deafness. Additionally, individuals with hearing loss but with some remaining low-frequency hearing can be treated with CI to conserve their residual hearing.

Accurate tonotopic stimulation, meaning cochlear implant electrodes stimulate according to their post-operative tonotopic locations, is expected to provide the best functional outcome for CI patients3–5. Detailed measurements of anatomical structures such as the BM and SG can aid in the understanding of how cochlear frequency maps vary between individuals, however accurate visualization of these structures is not possible using common clinical imaging modalities such as computed tomography (CT) and magnetic resonance imaging (MRI). Previous measurements of cochlear anatomy have heavily relied on histological analysis, however these techniques have inherent artefacts and spatial limitations, often related to the decalcification, sectioning, and staining of the specimens6,7. Stakhovskaya et al.8 published histologically-derived SG tonotopy measurements, which have become the most widely accepted and utilized information for SG frequency mapping. This previous work was based on two-dimensional histological sections and has not been validated in three-dimensions.

In this study, the first detailed three-dimensional (3D) measurements of the BM and SG are presented using synchrotron radiation phase-contrast imaging (SR-PCI). This imaging technique has the advantage of simultaneous bone and soft tissue visualization without the need for sectioning and staining9. Using SR-PCI, it is possible to visualize cellular level information9 in the cochlea, in addition to making 3D geometric measurements of complex anatomy such as the helicotrema10 and hook region. The objective of the present work is to use manual dendrite tracing in SR-PCI data to determine accurate 3D tonotopic coordinates of the human SG.

Material and methods

Human temporal bones and ethics

The study was approved by Western University, London, Ontario, Canada in accordance with the Anatomy Act of Ontario and Western’s Committee for Cadaveric Use in Research (approval no. 06092020). Ten fixed adult human cadaveric cochleae were used in this study. Specimens were obtained with permission from the body bequeathal program at Western University, London, Ontario, Canada in accordance with the Anatomy Act of Ontario and Western’s Committee for Cadaveric Use in Research (approval no. 06092020). All methods were carried out in accordance with relevant guidelines. No staining, sectioning, or decalcification were performed on the specimens.

Imaging technique

The SR-PCI technique used in the present investigation was recently described by Elfarnawany et al.11 and Koch et al.12. Each sample was scanned using SR-PCI combined with CT at the Bio-Medical Imaging and Therapy (BMIT) 05ID-2 beamline at the Canadian Light Source, Inc. (CLSI) in Saskatoon, SK, Canada. The imaging field of view was set to 4000 × 950 pixels corresponding to 36.0 × 8.6 mm, and 3000 projections over a 180° rotation were acquired per CT scan. Computed tomography reconstruction was performed, and the 3D image volume had an isotropic voxel size of 9 μm. The acquisition time to capture all projections per view was ~ 30 min.

3D Reconstruction and construction of frequency maps

For 3D reconstructions of the BM, SG, and other cochlear anatomy, structures were traced and color-labeled manually on each SR-PCI CT slice (approximately 1400 slices per sample). The open source medical imaging software, 3D Slicer (www.slicer.org, version 4.10)13, was used to create detailed 3D representations of the BM, SG, and connective dendrites between these structures, which allowed for accurate delineation when compared to traditional two-dimensional (2D) slices. Dendrites were individually traced from the BM to the SG at each frequency coordinate in three-dimensions, allowing for 3D analysis of SG tonotopy. The BM tonotopic frequency at each dendrite location was calculated using Greenwood’s function14, which relates proportional length along the BM to characteristic frequency. Individually tracing the BM, SG, and connective dendrites in three-dimensions allowed for precise tonotopic representations of both the BM and SG, especially in areas such as the hook region and helicotrema where the dendrites follow a non-radial trajectory from the BM to the SG. Since the spatial resolution of SR-PCI is coarser than light microscopy using the present fixation and non-staining, cellular details within the SG were occasionally challenging to discern. However, dendrites tracing from the BM were visible, along with Rosenthal’s canal (the bony conduit containing the SG), which has previously been analyzed in SR-PCI data15.

Angular frequency coordinates were additionally obtained for the BM and SG in all samples by measuring the angular depth of each manually traced dendrite connection and corresponding tonotopic frequency. A reformatted image slice was obtained through the mid-modiolar axis of each cochlea in three-dimensions, and this reformatted image slice was rotated about the mid-modiolar axis through the length of the BM and SG. With 0 degrees defined as the center of the round window (RW), the angular depth of each frequency coordinate along the BM and SG was obtained. Manually measured angle-frequency coordinates were interpolated to obtain a set of coordinates at common intervals across all samples for the purposes of inter-sample averaging and comparison.

To mathematically describe the 3D SG tonotopic coordinates obtained herein, a non-linear least-squares fit was performed to determine a Greenwood-like exponential function which relates percentage length along the SG to tonotopic frequency. Although percentage distances along the SG are generally not obtainable measurements in clinical or research imaging modalities, an exponential function was fit to the SG tonotopic coordinates to provide an anatomical description and to allow for mathematical comparison between BM and SG distributions.

Results

Three-dimensionally rendered structures derived from SR-PCI images of one human cochlea are shown in Fig. 1A–C. The intra-cochlear soft tissues were modeled, and the tonotopic coordinates of the BM and SG based on dendritic mapping are presented with octave bands. One SR-PCI image slice of the cochlea is shown in Fig. 1D. The mean length of the BM was 34.6 mm (range 31.5–36.9 mm) and the mean length of the SG was 14.6 mm (range 14–15.1 mm). Angular frequency coordinates of the BM and SG are presented in Figs. 2 and 3. The mean angular length from the center of the RW was 925° (range 868°–1073°) for the BM and 720° (662°–799°) for the SG. The mean frequency locations in all ten modeled cochleae are shown in Fig. 2A. Both the shape and dimensions of the cochleae were observed to vary, and this influenced the spatial location of tonotopic frequencies and octave bands. The total length and extensions of various octave bands of the BM varied considerably compared to those of the SG.

Figure 1.

Figure 1

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(A) SR-PCI data of a left human cochlea. 3D Slicer (www.slicer.org, version 4.10.1)13 was used to create a detailed 3D representation including intra-cochlear soft tissue. The basilar membrane and spiral ganglion were segmented, and the frequency coordinates were calculated using Greenwood’s formula14 and dendrite tracing. (B,C) For the spiral ganglion, the dendrites were traced from the basilar membrane to make a corresponding frequency map (shown with color scale). Note the angle of dendritic connections are not radial to the mid-modiolar axis in the apical and basal region (denoted by *). (D) Representative tomographic X-ray section showing the segmented round window (red), neural elements (yellow) and basilar membrane (green). GIMP 2 (www.gimp.org) was used to create the figures.

Figure 2.

Figure 2

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(A) Segmentations of soft tissues from ten cochleae shown in orthographic 3D view. 3D Slicer (www.slicer.org, version 4.10.1)13 was used to create the 3D representations. Frequency maps of the basilar membrane were developed according to Greenwood14. Corresponding dendrites were traced to the spiral ganglion and corresponding octave bands are outlined. Scale bar is 2.5 mm. (B) Average rotational angles for tonotopic frequencies of the BM and SG. Angular rotations are calculated from the mid-point of the round window. Ranges in position of angular rotations are shown with blue arrows. (C) Average length of BM and SG presented against frequency for all cochleae. Values within the color bars represent the mean distance to reach each tonotopic frequency, with values along the top and bottom of the color bars representing the maximum and minimum distances to reach each frequency, respectively.

Figure 3.

Figure 3

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(A) Basilar membrane length is plotted against diameter A. No correlation was noted between these values (r = 0.18). (B) Table showing mean angular frequencies obtained from ten specimens imaged using synchrotron radiation phase-contrast imaging. (C) Average basilar membrane and spiral ganglion frequencies plotted against cochlear angular depth. This average curve was determined by calculating the mean angular depth of each frequency in all samples. (D) Results of least squares fitting an exponential function to 3D SR-PCI SG tonotopic data. Greenwood’s function for the BM tonotopic distribution is illustrated in green for reference, and the SG function relating proportional length to tonotopic frequency developed herein is illustrated in orange.

The diameter A is defined as the long diameter of the basal, first turn of the cochlear spiral, measured from round window to lateral wall. This diameter is frequently used to estimate the cochlear length, indicating that the diameter A may occasionally underestimate cochlear length and therefore result in inaccurate estimations of BM tonotopic coordinates. In this series, the cochlea having the longest BM (37 mm), actually had the shortest diameter A (8.6 mm, Fig. 3A, Supplementary Fig. 1). The diameter A is plotted in comparison to BM length in Fig. 3A. A very weak correlation was observed between the diameter A and the complete BM length (r = 0.18), which is consistent with the prior analysis by Erixon and Rask-Andersen16, which demonstrated an R2 value of 0.39. Although the prior analysis revealed a higher correlation for the basal turn and two-turn length, there are potential consequences associated with predicting the total BM length using solely the diameter A due to the apical turn variability. Interestingly, we see here among the ten specimens some unusual anatomic variants where the cochlear coiling was different. These specimen are additional reasons for the low/absent correlation here. Excluding these two specimen gives a much higher correlation.

Average tonotopic frequencies of angular depths are shown in Fig. 2B. The results from all ten specimens are shown separately in Supplementary Fig. 1. Figure 2C demonstrates the variations in length of the different octave bands projected in a full-spectrum audiogram. The mean length of the 16,000–20,677 Hz frequency band was 1.8 mm for the BM and 0.4 mm for the SG. This represents 5% of the entire BM length and less than 3% of the SG length. The most basal part of the SG was narrow and contained cells innervating the BM surrounding the RW membrane17. The length of the BM octave bands decreased from base to apex and this decrement was more pronounced for the SG. The mean length of the 8–16 kHz octave band was 4.9 mm for BM and 3.4 mm for SG.

The shape and course of the dendrite columns and neural branching varied along the cochlear spiral. Dendrites had a direct radial course in the first turn except at the RW. Apically, the dendrites started to rotate to a non-radial trajectory near the 700 Hz region, corresponding to approximately 400 degrees of angular depth.

The tonotopic frequency ranges of the BM and SG at discrete angular depths are presented in tabular form in Fig. 3B. The average BM and SG angular frequency profiles are illustrated in Fig. 3C. The result of fitting an exponential function to the SG tonotopic distribution is shown in Fig. 3D.

3D model of SG, BM and dendrites are publicly accessible through Auditory Biophysics Laboratory website (https://abl.uwo.ca/).

Discussion

In the present study, SR-PCI data was used to obtain detailed 3D reconstructions of the human BM, SG and cochlear dendrites. In 1999, Vogel18 published work using absorption-based X-ray CT to image the human inner ear, in which a spatial resolution in the range of 10 μm was achieved. Although synchrotron radiation was used by Vogel, the absorption-based contrast did not provide adequate soft tissue discernment in structures such as the BM. Lareida et al.19 and Muller et al.20 used 1% OsO4 in 0.05 M cacodylate buffer staining to visualize structures such as the organ of Corti and nerve fiber bundles using absorption based X-ray CT with a synchrotron source. The ability to discern structures with staining was a significant improvement, however the RW and OW were opened during sample preparation, and artefacts have been reported to arise from the staining of soft tissues6,21. Rau et al.22 utilized SR-PCI to visualize fine structures such as organ of Corti hair cells in gerbil cochleae, however 3D reconstructions were not presented. Elfarnawany et al.11 were the first to perform SR-PCI on intact human cochleae, and obtained 3D reconstructions of cochlear soft tissues and achieved visualization of cytoarchitecture9. In PCI, the phase shifts caused by varying material properties within the sample are transformed into detectable variations in x-ray intensity, which can provide edge contrast to highlight soft tissues. Phase contrast is therefore combined with synchrotron radiation to improve soft-tissue contrast while maintaining accurate visualization of bone11, while avoiding the artefacts introduced with staining, sectioning, and decalcification used in histopathology6.

Stakhovskaya et al.8 previously published a human SG tonotopic map which was large advancement in the field. The work, however, was limited by the histological approach used. In order to trace dendrites between the BM and SG, Stakhovskaya et al. prepared histological sections which resulted in measurements that are limited to 2D. The present study is the first to perform 3D reconstruction and dendrite tracing of intact human cochleae, allowing for accurate tonotopic mapping of the BM and SG through fully attached complex anatomy. Accurate 3D visualization is particularly important in regions such as the cochlear hook, where dendrites follow a non-radial trajectory and tonotopic compression is observed in the SG.

The imaging and anatomical reconstruction techniques applied in the present study were recently used by Li et al.15 to study SG. The SG was observed to extend approximately two turns relative to the BM, which is consistent with the description by Guild et al.23. The present results also agree with the computer-based 3D reconstruction based on serial celloidin sections performed by Ariyasu et al.24. Moreover, histological analyses by Stakhovskaya et al.8 found that the SG extends 720° when measured from the start of the RW and a frequency map with rotational data was established8,25. These amassed results contrast to the one and half turn description by Nadol and Merchant26, who separated four SG regions where almost one third of all neurons were located in the upper half of the SG. According to Guild et al.23, the most densely innervated portion of the hearing organ is the upper basal and neighboring lower middle turn. This is consistent with the present findings.

The present 3D modelling shows that SG length ranges from 14.02 to 15.08 mm with octave band dimensions and distances from the base having low variability relative to the BM. The SG ends with a thickening or apical bulb that is crowded with neurons27. Here, the frequency bands are narrow, where the four octave bands below 1 kHz are all located within the apical 3.4 mm of the SG (Fig. 2C). These compressed neurons may constitute an obstacle for selective place stimulation of low-frequency neurons by a cochlear implant. From an anatomical standpoint, optimal reach of the SG would seem to be at two turns, thereby covering the entire frequency range. In the present model, the distance from the RW to this point was 14–15 mm and showed little variability. The corresponding length to reach the BM at two turns was around 31 mm and showed greater variability. Due to individual variability in cochlear shape, the stimulation pattern of peripheral neural components16,28–33 and the BM may be significantly influenced. The ranges of frequency band dimensions increased basally for both the SG and BM (Supplementary Fig. 1). In the SG, tonotopic frequencies were observed to be spread over a shorter length (both linear and angular) compared to the BM. This compression of frequencies is particularly prominent in the low frequency cochlear apex (Fig. 3C) where dendrites from a large region of the BM map to a narrow portion on the SG. Therefore, it is expected that a higher spectral resolution can be obtained if low frequency cochlear implant stimulation occurs at peripheral neurons at the level of the BM instead of the SG. One idea may be to extend insertion of CI more apically, even though this may interfere with soft tissue preservation. Nonetheless, to receive accurate frequency-place stimulation with CI, variances in BM band length should be taken into account. Furthermore, angle-to-frequency correlations can enhance place pitch assessments of cochlear implant contacts according to the neural frequency bands34,35. Previous relationships derived between angular depth and characteristic BM frequencies have relied upon assumptions of the total angular length of cochleae8, and in future work the results presented herein may be used to derive angle-to-frequency relationships that are individualized based on specific BM angular length. As CI electrode positions are clearly visible in clinical CT, angle measuring would allow clinicians to obtain individualized cochlear implant programming plans using clinically obtainable values.

This is the first study to determine 3D SG tonotopy through direct dendrite tracing in intact cochleae using SR-PCI data. Tonotopic distributions of the BM and SG were assessed with respect to linear and angular length, and a Greenwood-like function was fit to relate proportional length along the SG to the associated tonotopic frequency.

Supplementary Information

Supplementary Information. (740.1KB, docx)

Acknowledgements

The study was supported by the Swedish Research Council [2017-03801], the Tysta Skolan Foundation, the Swedish Hearing Research Foundation, generous private funds from Börje Runögård, Sweden. Part of the research described in this paper was performed at the Bio-Medical Imaging and Therapy (BMIT) facility at the Canadian Light Source, which is funded by the Canada Foundation for Innovation, the Natural Sciences and Engineering Research Council of Canada, the National Research Council Canada, the Canadian Institutes of Health Research, the Government of Saskatchewan, Western Economic Diversification Canada, and the University of Saskatchewan. The authors acknowledge support from the Natural Sciences and Engineering Research Council of Canada and the Province of Ontario. Part of the research described in this article was performed at the Bio-Medical Imaging and Therapy (BMIT) facility at the Canadian Light Source, Inc. (CLSI), which is funded by the Canada Foundation for Innovation, the Natural Sciences and Engineering Research Council of Canada, the National Research Council Canada, the Canadian Institutes of Health Research, the Government of Saskatchewan, Western Economic Diversification Canada, and the University of Saskatchewan.

Author contributions

S.A, L.H. and H.R. wrote the main manuscript text. S.A., H.L., H.Li. and H.R. planned the study. S.A, L.H, H.L. and H.R. analyzed anatomical results. H.L. processed file data in Sweden, made 3D reconstructions, segmentation and modeling. SAR and S.A. prepared sample specimens and was responsible for applying SR-PCI to image the cochlea and relevant data processing. H.L. reviewed the article, focusing on editing the Materials and Methods section and was also responsible for optimizing and applying SR-PCI to imaging of the cochlea, and relevant data processing. S.A, H.L. and H.R. prepared the figures. J.E. and L.H. aided with the statistical analysis and fitting equations. N.Z. provided technical support during imaging.

Funding

Open Access funding provided by Uppsala University.

Competing interests

MED-EL Medical Electronics, R&D, GmbH, and Innsbruck, Austria provided salary support for one research group member (H.Li.) in accordance with the contract agreement with Uppsala University, Sweden during 2018. All remaining authors have no conflict of interest.

Footnotes

Publisher's note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

These authors contributed equally: Helge Rask-Andersen, Hanif M. Ladak and Sumit Agrawal.

Contributor Information

Hao Li, Email: hao.li@surgsci.uu.se.

Helge Rask-Andersen, Email: helge.rask-andersen@surgsci.uu.se.

Supplementary Information

The online version contains supplementary material available at 10.1038/s41598-021-83225-w.

References

  • 1.Vos T, et al. Global, regional, and national incidence, prevalence, and years lived with disability for 310 diseases and injuries, 1990–2015: A systematic analysis for the Global Burden of Disease Study 2015. Lancet. 2016;388:1545–1602. doi: 10.1016/S0140-6736(16)31678-6. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 2.World Health Organization. Deafness and hearing loss. https://www.who.int/en/news-room/fact-sheets/detail/deafness-and-hearing-loss (2018).
  • 3.Oxenham AJ, Bernstein JGW, Penagos H. Correct tonotopic representation is necessary for complex pitch perception. Proc. Natl. Acad. Sci. 2004;101:1421–1425. doi: 10.1073/pnas.0306958101. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 4.Limb CJ, Roy AT. Technological, biological, and acoustical constraints to music perception in cochlear implant users. Hear. Res. 2014;308:13–26. doi: 10.1016/j.heares.2013.04.009. [DOI] [PubMed] [Google Scholar]
  • 5.Jiam NT, et al. Association between flat-panel computed tomographic imaging-guided place-pitch mapping and speech and pitch perception in cochlear implant users. JAMA Otolaryngol. Head Neck Surg. 2018;145:109–116. doi: 10.1001/jamaoto.2018.3096. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6.Pichat J, Iglesias JE, Yousry T, Ourselin S, Modat M. A survey of methods for 3D histology reconstruction. Med. Image Anal. 2018;46:73–105. doi: 10.1016/j.media.2018.02.004. [DOI] [PubMed] [Google Scholar]
  • 7.Taqi SA, Sami SA, Sami LB, Zaki SA. A review of artifacts in histopathology. J. Oral Maxillofac. Pathol. 2018;22:279. doi: 10.4103/jomfp.JOMFP_125_15. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8.Stakhovskaya O, Sridhar D, Bonham BH, Leake PA. Frequency map for the human cochlear spiral ganglion: Implications for cochlear implants. JARO J. Assoc. Res. Otolaryngol. 2007;8:220–233. doi: 10.1007/s10162-007-0076-9. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9.Iyer JS, et al. Visualizing the 3D cytoarchitecture of the human cochlea in an intact temporal bone using synchrotron radiation phase contrast imaging. Biomed. Opt. Express. 2018;9:3757–3767. doi: 10.1364/BOE.9.003757. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 10.Helpard L, Li H, Rask-Andersen H, Ladak HM, Agrawal SK. Characterization of the human helicotrema: Implications for cochlear duct length and frequency mapping. J. Otolaryngol. Head Neck Surg. 2020;49:1–7. doi: 10.1186/s40463-019-0398-8. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11.Elfarnawany M, et al. Micro-CT versus synchrotron radiation phase contrast imaging of human cochlea. J. Microsc. 2017;265:349–357. doi: 10.1111/jmi.12507. [DOI] [PubMed] [Google Scholar]
  • 12.Koch RW, Elfarnawany M, Zhu N, Ladak HM, Agrawal SK. Evaluation of cochlear duct length computations using synchrotron radiation phase-contrast imaging. Otol. Neurotol. 2017;38:e92–e99. doi: 10.1097/MAO.0000000000001410. [DOI] [PubMed] [Google Scholar]
  • 13.Fedorov A, et al. 3D Slicer as an image computing platform for the Quantitative Imaging Network. Magn. Reson. Imaging. 2012;30:1323–1341. doi: 10.1016/j.mri.2012.05.001. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14.Greenwood DD. Critical bandwidth and the frequency coordinates of the basilar membrane. J. Acoust. Soc. Am. 1961 doi: 10.1121/1.1908437. [DOI] [Google Scholar]
  • 15.Li H, et al. Synchrotron radiation-based reconstruction of the human spiral ganglion. Ear Hear. 2019 doi: 10.1097/aud.0000000000000738. [DOI] [PubMed] [Google Scholar]
  • 16.Erixon E, Rask-Andersen H. How to predict cochlear length before cochlear implantation surgery. Acta Otolaryngol. 2013;133:1258–1265. doi: 10.3109/00016489.2013.831475. [DOI] [PubMed] [Google Scholar]
  • 17.Rask-Andersen H, Kinnefors A, Illing RB. On a novel type of neuron with proposed mechanoreceptor function in the human round window membrane—an immunohistochemical study. Rev. Laryngol. Otol. Rhinol. (Bord) 1999;120:203–207. [PubMed] [Google Scholar]
  • 18.Vogel, U. New Approach for 3D Imaging and Geometry Modeling of the Human Inner Ear. ORL vol. 61 (1999). [DOI] [PubMed]
  • 19.Lareida A, et al. High-resolution X-ray tomography of the human inner ear: Synchrotron radiation-based study of nerve fibre bundles, membranes and ganglion cells. J. Microsc. 2009;234:95–102. doi: 10.1111/j.1365-2818.2009.03143.x. [DOI] [PubMed] [Google Scholar]
  • 20.Müller, B. et al. Anatomy of the murine and human cochlea visualized at the cellular level by synchrotron-radiation-based micro-computed tomography. In Developments in X-Ray Tomography V (2006). 10.1117/12.680540.
  • 21.Balint R, Lowe T, Shearer T. Optimal contrast agent staining of ligaments and tendons for X-ray computed tomography. PLoS ONE. 2016;11:e0153552. doi: 10.1371/journal.pone.0153552. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 22.Rau C, Robinson IK, Richter C-P. Visualizing soft tissue in the mammalian cochlea with coherent hard X-rays. Microsc. Res. Tech. 2006;69:660–665. doi: 10.1002/jemt.20336. [DOI] [PubMed] [Google Scholar]
  • 23.Guild SR, Crowe SJ, Bunch CC, Polvogt LM. Correlations of differences in the density of innervation of the organ of Corti with differences in the acuity of hearing, including evidence as to the location in the human cochlea of the receptors for certain tones. Acta Otolaryngol. 1931;15:269–308. doi: 10.3109/00016483109119096. [DOI] [Google Scholar]
  • 24.Ariyasu L, Galey FR, Hilsinger R, Byl FM. Computer-generated three-dimensional reconstruction of the cochlea. Otolaryngol. Neck Surg. 1989;100:87–91. doi: 10.1177/019459988910000201. [DOI] [PubMed] [Google Scholar]
  • 25.Sridhar, D., Stakhovskaya, O. & Leake, P. A. A frequency-position function for the human cochlear spiral ganglion. In Audiology and Neurotology (2006). 10.1159/000095609. [DOI] [PMC free article] [PubMed]
  • 26.Merchant, S. N. & Nadol, J. B. Schuknecht’s Pathology of the Ear. (PMPH-USA, 2010).
  • 27.Pamulova L, Linder B, Rask-Andersen H. Innervation of the apical turn of the human cochlea: A light microscopic and transmission electron microscopic investigation. Otol. Neurotol. 2006;27:270–275. doi: 10.1097/01.mao.0000187239.56583.d2. [DOI] [PubMed] [Google Scholar]
  • 28.Erixon E, Högstorp H, Wadin K, Rask-Andersen H. Variational anatomy of the human cochlea: Implications for cochlear implantation. Otol. Neurotol. 2009;30:14–22. doi: 10.1097/MAO.0b013e31818a08e8. [DOI] [PubMed] [Google Scholar]
  • 29.Avci E, Nauwelaers T, Lenarz T, Hamacher V, Kral A. Variations in microanatomy of the human cochlea. J. Comp. Neurol. Res. Syst. Neurosci. 2014;3261:3245–3261. doi: 10.1002/cne.23594. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 30.Schurzig D, et al. Cochlear helix and duct length identification—Evaluation of different curve fitting techniques. Cochlear Implants Int. 2018;19:268–283. doi: 10.1080/14670100.2018.1460025. [DOI] [PubMed] [Google Scholar]
  • 31.Würfel W, Lanfermann H, Lenarz T, Majdani O. Cochlear length determination using Cone Beam Computed Tomography in a clinical setting. Hear. Res. 2014;316:65–72. doi: 10.1016/j.heares.2014.07.013. [DOI] [PubMed] [Google Scholar]
  • 32.Meng J, Li S, Zhang F, Li Q, Qin Z. Cochlear size and shape variability and implications in cochlear implantation surgery. Otol. Neurotol. 2016;37:1307–1313. doi: 10.1097/MAO.0000000000001189. [DOI] [PubMed] [Google Scholar]
  • 33.Timm ME, et al. Patient specific selection of lateral wall cochlear implant electrodes based on anatomical indication ranges. PLoS ONE. 2018;13:1–14. doi: 10.1371/journal.pone.0206435. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 34.Grasmeder ML, Verschuur CA, Batty VB. Optimizing frequency-to-electrode allocation for individual cochlear implant users. J. Acoust. Soc. Am. 2014 doi: 10.1121/1.4900831. [DOI] [PubMed] [Google Scholar]
  • 35.Jiam NT, Pearl MS, Carver C, Limb CJ. Flat-panel CT imaging for individualized pitch mapping in cochlear implant users. Otol. Neurotol. 2016;37:672–679. doi: 10.1097/MAO.0000000000001060. [DOI] [PubMed] [Google Scholar]

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