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Journal of Diagnostic Medical Sonography
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Image Segmentation for Evaluating Axillary Lymph Nodes

Kevin D. Evans, PHD, RT, RDMS, RVS, FSDMS

Ohio State University, School of Allied Medical Professions, Columbus, Ohio, Evans.36{at}osu.edu

Steffen Sammet, MD, PHD

Ohio State University, School of Allied Medical Professions, Columbus, Ohio

Yvette Ramos, RDMS, RVT

Ohio State University, School of Allied Medical Professions, Columbus, Ohio

Michael V. Knopp, MD, PHD

Ohio State University, School of Allied Medical Professions, Columbus, Ohio

A review is provided of the literature that has been published on image segmentation relative to sonography. Manual and automatic techniques for partitioning a sonogram are highlighted. In addition, a preliminary set of results is provided on the interrater reliability of the manual segmentation of axillary lymph nodes that have been sonographically imaged. A correlation between sonographers conducting manual segmentation is very high (r = 0.9 with P < .00 at the .01 alpha level). This work is set to provide additional information on lymph node cubic volume and the agreement between manual and automatic segmentation of axillary lymph nodes.

Key Words: image segmentation • breast sonography • axillary lymph nodes

This version was published on November 1, 2008

Journal of Diagnostic Medical Sonography, Vol. 24, No. 6, 329-336 (2008)
DOI: 10.1177/8756479308324954
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