NDLI: The identification of bone regions for the assistance of temporal bone surgery through analysis of the drill acoustics

Content Provider	IEEE Xplore Digital Library
Author	Brady, P. Hill, M. Connell, J. Barrett, J. OaHare, D. Sullivan, P.O. Fennessy, B.
Copyright Year	2009
Description	Author affiliation: Department of Otolaryngology/Head & Neck Surgery, South Infirmary Victoria University Hospital, Cork City, Ireland (Sullivan, P.O.; Fennessy, B.) \|\| Smart Systems Integration Group, NIMBUS Centre for Embedded Systems Research, Department of Electronic Engineering, Cork Institute of Technology, Ireland (Brady, P.; Hill, M.; Connell, J.; Barrett, J.) \|\| Department of Mathematics, Cork Institute of Technology, Ireland (OaHare, D.)
Abstract	This paper presents a method to identify the bone regions encountered during a temporal bone dissection. This should aid the otolaryngologist in the identification of anatomical landmarks whilst training and performing surgical procedures. The approach adopts the mel frequency cepstrum coefficients and the Mahalanobis distance metric to indentify the temporal bone regions from the acoustic signature of the surgical drill. Audio data from a mastoidectomy, that involved the dissection of the sigmoid sinus, thin tegmen and thick tegmen bone regions with diamond and cutting type burrs of sizes 6mm, 3mm and 1mm were analysed. An identification accuracy of 97.72 ± 1.77 % was achieved with the mel frequency cepstrum approach. This is a significant improvement over the previous approach that utilises the power spectral density and the correlation coefficient to identify the same bone regions only 90.59 ± 1.58 % of the time. Three case studies were considered as a feasibility study for the implementation of this method into a smart embedded drill environment. With a priori knowledge of the burr type, an identification accuracy of 96.54 ± 4.12 % was achieved. When the burr type was not considered this accuracy decreased to 94.2 ± 3.17 %. An accuracy of 90.88 ± 7.53 % was obtained when identifying both the tool type and the bone region from the drill sound.
Starting Page	1
Ending Page	7
File Size	271604
Page Count	7
File Format	PDF
ISBN	9781424446407
DOI	10.1109/ISABEL.2009.5373665
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-11-24
Publisher Place	Slovakia
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Cepstral analysis Surgery Cepstrum Anatomical structure Ear Acoustic materials Bones Ceramics Steel Mel frequency cepstral coefficient
Content Type	Text
Resource Type	Article

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