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9 November 2017 Automated mediastinal lymph node detection from CT volumes based on intensity targeted radial structure tensor analysis
Hirohisa Oda, Kanwal K. Bhatia, Masahiro Oda, Takayuki Kitasaka, Shingo Iwano, Hirotoshi Homma, Hirotsugu Takabatake, Masaki Mori, Hiroshi Natori, Julia A. Schnabel, Kensaku Mori
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Journal of Medical Imaging, Vol. 4, Issue 4, 044502 (November 2017). https://doi.org/10.1117/1.JMI.4.4.044502
Abstract
This paper presents a local intensity structure analysis based on an intensity targeted radial structure tensor (ITRST) and the blob-like structure enhancement filter based on it (ITRST filter) for the mediastinal lymph node detection algorithm from chest computed tomography (CT) volumes. Although the filter based on radial structure tensor analysis (RST filter) based on conventional RST analysis can be utilized to detect lymph nodes, some lymph nodes adjacent to regions with extremely high or low intensities cannot be detected. Therefore, we propose the ITRST filter, which integrates the prior knowledge on detection target intensity range into the RST filter. Our lymph node detection algorithm consists of two steps: (1) obtaining candidate regions using the ITRST filter and (2) removing false positives (FPs) using the support vector machine classifier. We evaluated lymph node detection performance of the ITRST filter on 47 contrast-enhanced chest CT volumes and compared it with the RST and Hessian filters. The detection rate of the ITRST filter was 84.2% with 9.1 FPs/volume for lymph nodes whose short axis was at least 10 mm, which outperformed the RST and Hessian filters.
CC BY: © The Authors. Published by SPIE under a Creative Commons Attribution 4.0 Unported License. Distribution or reproduction of this work in whole or in part requires full attribution of the original publication, including its DOI.
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Hirohisa Oda, Kanwal K. Bhatia, Masahiro Oda, Takayuki Kitasaka, Shingo Iwano, Hirotoshi Homma, Hirotsugu Takabatake, Masaki Mori, Hiroshi Natori, Julia A. Schnabel, and Kensaku Mori "Automated mediastinal lymph node detection from CT volumes based on intensity targeted radial structure tensor analysis," Journal of Medical Imaging 4(4), 044502 (9 November 2017). https://doi.org/10.1117/1.JMI.4.4.044502
Received: 4 April 2017; Accepted: 16 October 2017; Published: 9 November 2017
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Cited by 8 scholarly publications.
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KEYWORDS
Lymphatic system
Target detection
Detection and tracking algorithms
Computed tomography
Optical spheres
Lung
Digital filtering
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