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Proceedings Paper

Pre-operative segmentation of neck CT datasets for the planning of neck dissections
Author(s): Jeanette Cordes; Jana Dornheim; Bernhard Preim; Ilka Hertel; Gero Strauss
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Paper Abstract

For the pre-operative segmentation of CT neck datasets, we developed the software assistant NeckVision. The relevant anatomical structures for neck dissection planning can be segmented and the resulting patient-specific 3D-models are visualized afterwards in another software system for intervention planning. As a first step, we examined the appropriateness of elementary segmentation techniques based on gray values and contour information to extract the structures in the neck region from CT data. Region growing, interactive watershed transformation and live-wire are employed for segmentation of different target structures. It is also examined, which of the segmentation tasks can be automated. Based on this analysis, the software assistant NeckVision was developed to optimally support the workflow of image analysis for clinicians. The usability of NeckVision was tested within a first evaluation with four otorhinolaryngologists from the university hospital of Leipzig, four computer scientists from the university of Magdeburg and two laymen in both fields.

Paper Details

Date Published: 15 March 2006
PDF: 10 pages
Proc. SPIE 6144, Medical Imaging 2006: Image Processing, 61444I (15 March 2006); doi: 10.1117/12.654157
Show Author Affiliations
Jeanette Cordes, Univ. of Magdeburg (Germany)
Jana Dornheim, Univ. of Magdeburg (Germany)
Bernhard Preim, Univ. of Magdeburg (Germany)
Ilka Hertel, Univ. Hospital of Leipzig (Germany)
Innovative Ctr. Computer Assisted Surgery (Germany)
Gero Strauss, Univ. Hospital of Leipzig (Germany)
Innovative Ctr. Computer Assisted Surgery (Germany)


Published in SPIE Proceedings Vol. 6144:
Medical Imaging 2006: Image Processing
Joseph M. Reinhardt; Josien P. W. Pluim, Editor(s)

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