Segmentation of the central-chest lymph nodes in 3D MDCT images

Kongkuo Lu, William E. Higgins

Research output: Contribution to journalArticlepeer-review

15 Scopus citations

Abstract

Central-chest lymph nodes play a vital role in lung-cancer staging. The definition of lymph nodes from three-dimensional (3D) multidetector computed-tomography (MDCT) images, however, remains an open problem. We propose two methods for computer-based segmentation of the central-chest lymph nodes from a 3D MDCT scan: the single-section live wire and the single-click live wire. For the single-section live wire, the user first applies the standard live wire to a single two-dimensional (2D) section after which automated analysis completes the segmentation process. The single-click live wire is similar but is almost completely automatic. Ground-truth studies involving human 3D MDCT scans demonstrate the robustness, efficiency, and intra-observer and inter-observer reproducibility of the methods.

Original languageEnglish (US)
Pages (from-to)780-789
Number of pages10
JournalComputers in Biology and Medicine
Volume41
Issue number9
DOIs
StatePublished - Sep 2011

All Science Journal Classification (ASJC) codes

  • Computer Science Applications
  • Health Informatics

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