Automatic mediastinal lymph node detection in chest CT

Marco Feuerstein; Daisuke Deguchi; Takayuki Kitasaka; Shingo Iwano; Kazuyoshi Imaizumi; Yoshinori Hasegawa; Yasuhito Suenaga; Kensaku Mori

doi:10.1117/12.811101

4 March 2009 Automatic mediastinal lymph node detection in chest CT

Marco Feuerstein, Daisuke Deguchi, Takayuki Kitasaka, Shingo Iwano, Kazuyoshi Imaizumi, Yoshinori Hasegawa, Yasuhito Suenaga, Kensaku Mori

Author Affiliations +

Proceedings Volume 7260, Medical Imaging 2009: Computer-Aided Diagnosis; 72600V (2009) https://doi.org/10.1117/12.811101
Event: SPIE Medical Imaging, 2009, Lake Buena Vista (Orlando Area), Florida, United States

Abstract

Computed tomography (CT) of the chest is a very common staging investigation for the assessment of mediastinal, hilar, and intrapulmonary lymph nodes in the context of lung cancer. In the current clinical workflow, the detection and assessment of lymph nodes is usually performed manually, which can be error-prone and timeconsuming. We therefore propose a method for the automatic detection of mediastinal, hilar, and intrapulmonary lymph node candidates in contrast-enhanced chest CT. Based on the segmentation of important mediastinal anatomy (bronchial tree, aortic arch) and making use of anatomical knowledge, we utilize Hessian eigenvalues to detect lymph node candidates. As lymph nodes can be characterized as blob-like structures of varying size and shape within a specific intensity interval, we can utilize these characteristics to reduce the number of false positive candidates significantly. We applied our method to 5 cases suspected to have lung cancer. The processing time of our algorithm did not exceed 6 minutes, and we achieved an average sensitivity of 82.1% and an average precision of 13.3%.

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Marco Feuerstein, Daisuke Deguchi, Takayuki Kitasaka, Shingo Iwano, Kazuyoshi Imaizumi, Yoshinori Hasegawa, Yasuhito Suenaga, and Kensaku Mori "Automatic mediastinal lymph node detection in chest CT", Proc. SPIE 7260, Medical Imaging 2009: Computer-Aided Diagnosis, 72600V (4 March 2009); https://doi.org/10.1117/12.811101

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