Automatic identification of IASLC-defined mediastinal lymph node stations on CT scans using multi-atlas organ segmentation

20 March 2015 Automatic identification of IASLC-defined mediastinal lymph node stations on CT scans using multi-atlas organ segmentation

Joanne Hoffman, Jiamin Liu, Evrim Turkbey, Lauren Kim, Ronald M. Summers

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Proceedings Volume 9414, Medical Imaging 2015: Computer-Aided Diagnosis; 94141R (2015) https://doi.org/10.1117/12.2082190
Event: SPIE Medical Imaging, 2015, Orlando, Florida, United States

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.

Citation Download Citation

Joanne Hoffman, Jiamin Liu, Evrim Turkbey, Lauren Kim, and Ronald M. Summers "Automatic identification of IASLC-defined mediastinal lymph node stations on CT scans using multi-atlas organ segmentation", Proc. SPIE 9414, Medical Imaging 2015: Computer-Aided Diagnosis, 94141R (20 March 2015); https://doi.org/10.1117/12.2082190

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