Segmentation of lymph node regions in head-and-neck CT images using a combination of registration and active shape model

Antong Chen; Matthew A. Deeley; Kenneth J. Niermann; Luigi Moretti; Benoit M. Dawant

doi:10.1117/12.843823

12 March 2010 Segmentation of lymph node regions in head-and-neck CT images using a combination of registration and active shape model

Antong Chen, Matthew A. Deeley, Kenneth J. Niermann, Luigi Moretti, Benoit M. Dawant

Author Affiliations +

Proceedings Volume 7623, Medical Imaging 2010: Image Processing; 76231Q (2010) https://doi.org/10.1117/12.843823
Event: SPIE Medical Imaging, 2010, San Diego, California, United States

Abstract

Segmenting the lymph node regions in head and neck CT images has been a challenging topic in the area of medical image segmentation. The method proposed herein implements an atlas-based technique constrained by an active shape model (ASM) to segment the level II, III and IV lymph nodes as one structure. A leave-one-out evaluation study performed on 15 data sets shows that the results obtained with this technique are better than those obtained with a pure atlas-based segmentation method, in particular in regions of poor contrast.

Citation Download Citation

Antong Chen, Matthew A. Deeley, Kenneth J. Niermann, Luigi Moretti, and Benoit M. Dawant "Segmentation of lymph node regions in head-and-neck CT images using a combination of registration and active shape model", Proc. SPIE 7623, Medical Imaging 2010: Image Processing, 76231Q (12 March 2010); https://doi.org/10.1117/12.843823

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