12 March 2010 Segmentation of lymph node regions in head-and-neck CT images using a combination of registration and active shape model
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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.
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Antong Chen, Matthew A. Deeley, Kenneth J. Niermann, Luigi Moretti, 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); doi: 10.1117/12.843823; https://doi.org/10.1117/12.843823
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