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Proceedings Paper

Automatic identification of IASLC-defined mediastinal lymph node stations on CT scans using multi-atlas organ segmentation
Author(s): Joanne Hoffman; Jiamin Liu; Evrim Turkbey; Lauren Kim; Ronald M. Summers
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Paper Abstract

Station-labeling of mediastinal lymph nodes is typically performed to identify the location of enlarged nodes for cancer staging. Stations are usually assigned in clinical radiology practice manually by qualitative visual assessment on CT scans, which is time consuming and highly variable. In this paper, we developed a method that automatically recognizes the lymph node stations in thoracic CT scans based on the anatomical organs in the mediastinum. First, the trachea, lungs, and spines are automatically segmented to locate the mediastinum region. Then, eight more anatomical organs are simultaneously identified by multi-atlas segmentation. Finally, with the segmentation of those anatomical organs, we convert the text definitions of the International Association for the Study of Lung Cancer (IASLC) lymph node map into patient-specific color-coded CT image maps. Thus, a lymph node station is automatically assigned to each lymph node. We applied this system to CT scans of 86 patients with 336 mediastinal lymph nodes measuring equal or greater than 10 mm. 84.8% of mediastinal lymph nodes were correctly mapped to their stations.

Paper Details

Date Published: 20 March 2015
PDF: 7 pages
Proc. SPIE 9414, Medical Imaging 2015: Computer-Aided Diagnosis, 94141R (20 March 2015); doi: 10.1117/12.2082190
Show Author Affiliations
Joanne Hoffman, National Institutes of Health (United States)
Jiamin Liu, National Institutes of Health (United States)
Evrim Turkbey, National Institutes of Health (United States)
Lauren Kim, National Institutes of Health (United States)
Ronald M. Summers, National Institutes of Health (United States)

Published in SPIE Proceedings Vol. 9414:
Medical Imaging 2015: Computer-Aided Diagnosis
Lubomir M. Hadjiiski; Georgia D. Tourassi, Editor(s)

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