Automatic segmentation of the facial nerve and chorda tympani using image registration and statistical priors

Jack H. Noble, Frank M. Warren, Robert F. Labadie, Benoit M. Dawant

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Citations (Scopus)

Abstract

In cochlear implant surgery, an electrode array is permanently implanted in the cochlea to stimulate the auditory nerve and allow deaf people to hear. A minimally invasive surgical technique has recently been proposed - percutaneous cochlear access - in which a single hole is drilled from the skull surface to the cochlea. For the method to be feasible, a safe and effective drilling trajectory must be determined using a pre-operative CT. Segmentation of the structures of the ear would improve trajectory planning safety and efficiency and enable the possibility of automated planning. Two important structures of the ear, the facial nerve and chorda tympani, present difficulties in intensity based segmentation due to their diameter (as small as 1.0 and 0.4 mm) and adjacent inter-patient variable structures of similar intensity in CT imagery. A multipart, model-based segmentation algorithm is presented in this paper that accomplishes automatic segmentation of the facial nerve and chorda tympani. Segmentation results are presented for 14 test ears and are compared to manually segmented surfaces. The results show that mean error in structure wall localization is 0.2 and 0.3 mm for the facial nerve and chorda, proving the method we propose is robust and accurate.

Original languageEnglish (US)
Title of host publicationProgress in Biomedical Optics and Imaging - Proceedings of SPIE
Volume6914
DOIs
StatePublished - 2008
Externally publishedYes
EventMedical Imaging 2008: Image Processing - San Diego, CA, United States
Duration: Feb 17 2008Feb 19 2008

Other

OtherMedical Imaging 2008: Image Processing
CountryUnited States
CitySan Diego, CA
Period2/17/082/19/08

Fingerprint

Image registration
Trajectories
Cochlear implants
Planning
Surgery
Drilling
Electrodes

Keywords

  • Atlas-based segmentation
  • Chorda tympani
  • Cochlear implant
  • Facial nerve
  • Model-based segmentation
  • Optimal path

ASJC Scopus subject areas

  • Engineering(all)

Cite this

Noble, J. H., Warren, F. M., Labadie, R. F., & Dawant, B. M. (2008). Automatic segmentation of the facial nerve and chorda tympani using image registration and statistical priors. In Progress in Biomedical Optics and Imaging - Proceedings of SPIE (Vol. 6914). [69140P] https://doi.org/10.1117/12.772034

Automatic segmentation of the facial nerve and chorda tympani using image registration and statistical priors. / Noble, Jack H.; Warren, Frank M.; Labadie, Robert F.; Dawant, Benoit M.

Progress in Biomedical Optics and Imaging - Proceedings of SPIE. Vol. 6914 2008. 69140P.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Noble, JH, Warren, FM, Labadie, RF & Dawant, BM 2008, Automatic segmentation of the facial nerve and chorda tympani using image registration and statistical priors. in Progress in Biomedical Optics and Imaging - Proceedings of SPIE. vol. 6914, 69140P, Medical Imaging 2008: Image Processing, San Diego, CA, United States, 2/17/08. https://doi.org/10.1117/12.772034
Noble JH, Warren FM, Labadie RF, Dawant BM. Automatic segmentation of the facial nerve and chorda tympani using image registration and statistical priors. In Progress in Biomedical Optics and Imaging - Proceedings of SPIE. Vol. 6914. 2008. 69140P https://doi.org/10.1117/12.772034
Noble, Jack H. ; Warren, Frank M. ; Labadie, Robert F. ; Dawant, Benoit M. / Automatic segmentation of the facial nerve and chorda tympani using image registration and statistical priors. Progress in Biomedical Optics and Imaging - Proceedings of SPIE. Vol. 6914 2008.
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