Development of a Semi-Automated Detection Method and a Classification System for Bone Metastatic Lesions in Vertebral Body on 3D Chest CT 


Vol. 38,  No. 10, pp. 887-895, Oct.  2013


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  Abstract

Metastatic bone cancer, the cancer which occurred in the various organs and progressively spread to bone, is one of the complications in cancer patients. This cancer is divided into the osteoblast and osteolytic metastasis. Although Computer Tomography(CT) could be an useful tool in diagnosis of bone metastasis, lesions are often missed by the visual inspection and it makes clinicians difficult to detect metastasis earlier. Therefore, in this study, we construct a three-dimensional(3D) volume rendering data from tomography images of the chest CT, and apply a 3D based image processing algorithm to them for detection bone metastasis lesions. Then we perform a three-dimensional visualization of the detected lesions.From our test using 10 clinical cases, we confirmed 94.1% of average sensitivity for osteoblast, and 90.0% of average sensitivity, respectively. Consequently, our findings showed a promising possibility and potential usefulness in diagnosis of metastastic bone cancer.

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  Cite this article

[IEEE Style]

Y. J. Kim, S. H. Lee, J. Y. Choi, H. Y. Sun, K. G. Kim, "Development of a Semi-Automated Detection Method and a Classification System for Bone Metastatic Lesions in Vertebral Body on 3D Chest CT," The Journal of Korean Institute of Communications and Information Sciences, vol. 38, no. 10, pp. 887-895, 2013. DOI: .

[ACM Style]

Young Jae Kim, Seung Hyun Lee, Ja Young Choi, Hye Young Sun, and Kwang Gi Kim. 2013. Development of a Semi-Automated Detection Method and a Classification System for Bone Metastatic Lesions in Vertebral Body on 3D Chest CT. The Journal of Korean Institute of Communications and Information Sciences, 38, 10, (2013), 887-895. DOI: .

[KICS Style]

Young Jae Kim, Seung Hyun Lee, Ja Young Choi, Hye Young Sun, Kwang Gi Kim, "Development of a Semi-Automated Detection Method and a Classification System for Bone Metastatic Lesions in Vertebral Body on 3D Chest CT," The Journal of Korean Institute of Communications and Information Sciences, vol. 38, no. 10, pp. 887-895, 10. 2013.

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pISSN : 1226 - 4717
eISSN : 2287 - 3880