> Details

Gaa, Johannes [Author]; Kahrs, Lüder Alexander [Author]; Müller, Samuel [Author]; Majdani, Omid [Author]; Ortmaier, Tobias [Author]; Ourselin, Sébastien [Author]; Styner, Martin A. [Author]

Cochlear shape description and analyzing via medial models - [published Version]

Reference
management

Bookmarks

Remove from
bookmarks

Share this on Whatsapp

Close

Bookmarks



You can manage bookmarks using lists, please log in to your user account for this.
  • Media type: E-Article; Text
  • Title: Cochlear shape description and analyzing via medial models
  • Contributor: Gaa, Johannes [Author]; Kahrs, Lüder Alexander [Author]; Müller, Samuel [Author]; Majdani, Omid [Author]; Ortmaier, Tobias [Author]; Ourselin, Sébastien [Author]; Styner, Martin A. [Author]
  • imprint: Bellingham, Wash. : SPIE, 2015
  • Published in: Image Processing : Medical Imaging 2015 : 24-26 February 2015, Orlando, Florida, United States ; Proceedings of SPIE 9413 (2015)
  • Issue: published Version
  • Language: English
  • DOI: https://doi.org/10.15488/2529; https://doi.org/10.1117/12.2082033
  • ISBN: 978-1-62841-503-2
  • ISSN: 0277-786X
  • Keywords: Cochlear implants ; Medial representation ; Medical computing ; Statistical shape model ; active shape models ; Image segmentation ; Computed tomography images ; inner ear ; Surgical interventions ; Medical image processing ; segmentation ; cochlea ; Computerized tomography ; Image processing ; Patient treatment ; Konferenzschrift ; Automated segmentation ; Population statistics ; Medical imaging ; Atoms
  • Origination:
  • Footnote: Diese Datenquelle enthält auch Bestandsnachweise, die nicht zu einem Volltext führen.
  • Description: Planning and analyzing of surgical interventions are often based on computer models derived from computed tomography images of the patient. In the field of cochlear implant insertion the modeling of several structures of the inner ear is needed. One structure is the overall helical shape of the cochlea itself. In this paper we analyze the cochlea by applying statistical shape models with medial representation. The cochlea is considered as tubular structure. A model representing the skeleton of training data and an atomic composition of the structure is built. We reduce the representation to a linear chain of atoms. As result a compact discrete model is possible. It is demonstrated how to place the atoms and build up their correspondence through a population of training data. The outcome of the applied representation is discussed in terms of impact on automated segmentation algorithms and known advantages of medial models are revisited. © 2015 SPIE.
  • Access State: Open Access