Literature DB >> 8315148

Quantifying ear-canal geometry with multiple computer-assisted tomographic scans.

D P Egolf1, D K Nelson, H C Howell, V D Larson.   

Abstract

Several audiological tests require knowledge of the sound-pressure spectrum at the eardrum. However, microphone readings are typically made at another, more-accessible position in the auditory canal. Recordings are then "adjusted" to the plane of the eardrum via mathematical models of the ear canal and eardrum. As bandwidths of audiological instruments have increased, ear-canal models have, by necessity, become more precise geometrically. Reported herein is a noninvasive procedure for acquiring geometry of the ear canal in fine detail. The method employs a computer-assisted tomographic (CAT) scanner in two steps to make radiographic images of parasagittal cross sections at uniform intervals along the lateral length of the canal. Accuracy was evaluated by comparing areas of cross sections appearing in radiographic images of a cadaver ear canal to cross sectional areas of corresponding michrotome slices of an injection mold of the same canal. Percent differences between these two areas had a mean value of 9.65% for 26 different cross sections of the one ear canal studied. Ear canal volume estimated from the CAT images was 6.12% different from the estimated volume of the injection mold: an improvement over the reported 39% maximum error of conventional acoustic volume measurements.

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Year:  1993        PMID: 8315148     DOI: 10.1121/1.405802

Source DB:  PubMed          Journal:  J Acoust Soc Am        ISSN: 0001-4966            Impact factor:   1.840


  8 in total

1.  Inverse solution of ear-canal area function from reflectance.

Authors:  Daniel M Rasetshwane; Stephen T Neely
Journal:  J Acoust Soc Am       Date:  2011-12       Impact factor: 1.840

2.  Measurements of ear-canal cross-sectional areas from live human ears with implications for wideband acoustic immittance measurements.

Authors:  Susan E Voss; Nicholas J Horton; Katherine E Fairbank; Lu Xia; Lauren R K Tinglin; Kathryn D Girardin
Journal:  J Acoust Soc Am       Date:  2020-11       Impact factor: 1.840

3.  Compensating for ear-canal acoustics when measuring otoacoustic emissions.

Authors:  Karolina K Charaziak; Christopher A Shera
Journal:  J Acoust Soc Am       Date:  2017-01       Impact factor: 1.840

4.  Morphometric Analysis of the External Auditory Canal by Computed Tomography in Indian Population.

Authors:  Pragya Singh; Mahesh Kumar Mittal; Neeraj Narayan Mathur; Mukul Sinha; Sanjeet Panesar; Garvit Khatri; Brij Bhushan Thukral
Journal:  Indian J Otolaryngol Head Neck Surg       Date:  2017-09-11

5.  A comparison of ear-canal-reflectance measurement methods in an ear simulator.

Authors:  Kren Rahbek Nørgaard; Karolina K Charaziak; Christopher A Shera
Journal:  J Acoust Soc Am       Date:  2019-08       Impact factor: 1.840

6.  On the calculation of reflectance in non-uniform ear canals.

Authors:  Kren Rahbek Nørgaard; Karolina K Charaziak; Christopher A Shera
Journal:  J Acoust Soc Am       Date:  2019-08       Impact factor: 1.840

Review 7.  Alternative ear-canal measures related to absorbance.

Authors:  Stephen T Neely; Stefan Stenfelt; Kim S Schairer
Journal:  Ear Hear       Date:  2013-07       Impact factor: 3.570

8.  Analysis of the mechano-acoustic influence of the tympanic cavity in the auditory system.

Authors:  A Garcia-Gonzalez; C Castro-Egler; A Gonzalez-Herrera
Journal:  Biomed Eng Online       Date:  2016-03-31       Impact factor: 2.819

  8 in total

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