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http://dx.doi.org/10.7840/kics.2013.38C.10.887

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

Kim, Young Jae (국립암센터 융합기술연구부 의공학연구과, 광운대학교 플라즈마 바이오 디스플레이학과)
Lee, Seung Hyun (광운대학교 플라즈마 바이오 디스플레이학과)
Choi, Ja Young (서울대학교병원 영상의학과)
Sun, Hye Young (서울대학교병원 영상의학과)
Kim, Kwang Gi (국립암센터 융합기술연구부 의공학연구과)
Publication Information
The Journal of Korean Institute of Communications and Information Sciences / v.38C, no.10, 2013 , pp. 887-895 More about this Journal
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.
Keywords
Bone metastasis; Vertebral body; CT; Computer aided diagnosis; 3D Visualization;
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