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Extraction of Metastatic Lymph Nodes from MR Images Using Two Deformable Model-based Approaches

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We presented and evaluated two deformable model-based approaches, region plus contour deformation (RPCD), and level sets to extract metastatic cervical nodal lesions from pretreatment T2-weighted magnetic resonance images. The RPCD method first uses a region deformation to achieve a rough boundary of the target node from a manually drawn initial contour, based on signal statistics. After that, an active contour deformation is employed to drive the rough boundary to the real node–normal tissue interface. Differently, the level sets move a manually drawn initial contour toward the desired nodal boundary under the control of the evolvement speed function, which is influenced by image gradient force. The two methods were tested by extracting 33 metastatic cervical nodes from 18 nasopharyngeal carcinoma patients. Experiments on a basis of pixel matching to reference standard showed that RPCD and level sets achieved averaged percentage matching at 82–84% and 87–88%, respectively. In addition, both methods had significantly lower interoperator variances than the manual tracing method. It was suggested these two methods could be useful tools for the evaluation of metastatic nodal volume as an indicator of classification and treatment response, or be alternatives for the delineation of metastatic nodal lesions in radiation treatment planning.

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Acknowledgements

This study is supported by grants from the National Medical Research Council of Singapore (NMRC/0837/2004) and the Singapore Millennium Foundation Postdoctoral Award (2004-SMF-1150). Authors also thank the support from the Biomedical Engineering Research Centre, Nanyang Technological University, Singapore.

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Authors and Affiliations

  1. School of Chemical and Biomedical Engineering, Nanyang Technological University, Singapore, Singapore

    Jia-Yin Zhou & Kap-Luk Chan

  2. School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore, Singapore

    Wen Fang & Kap-Luk Chan

  3. Department of Diagnostic Radiology, National University of Singapore, Singapore, Singapore

    Vincent F. H. Chong

  4. Department of Oncologic Imaging, National Cancer Centre, Singapore, Singapore

    James B. K. Khoo

  5. Biomedical Engineering Research Centre, Nanyang Technological University, 50 Nanyang Avenue, Singapore, Singapore, 639798

    Jia-Yin Zhou

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  1. Jia-Yin Zhou
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  2. Wen Fang
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  4. Vincent F. H. Chong
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  5. James B. K. Khoo
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Correspondence to Jia-Yin Zhou.

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Zhou, JY., Fang, W., Chan, KL. et al. Extraction of Metastatic Lymph Nodes from MR Images Using Two Deformable Model-based Approaches. J Digit Imaging 20, 336–346 (2007). https://doi.org/10.1007/s10278-006-1037-2

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