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Development of automatized new indices for radiological assessment of chest-wall deformity and its quantitative evaluation

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Abstract

Pre-operative diagnosis of chest-wall deformity is important for successful surgical correction and post-operative evaluation of funnel chest patients. However, conventional indices that define the severity of deformity have several limitations; manually calculated and cannot supply information about asymmetry. We developed four indices that can represent both the depression and the asymmetry of the chest-wall, and can automatically be extracted by computerized image processing technique. Three indices, including eccentricity index (EI), flatness index (FI), and circularity index (CI), were suggested to represent the depression of the chest-wall, and one index, rotation index (RI), to represent the asymmetry of the chest-wall. To verify the feasibility of new indices, several synthetic images and real CT images were used to analyze the performance of new indices and the statistical relationship with conventional Haller index. The experimental results showed possible application of suggested indices to the diagnosis of funnel chest patient. Suggested indices showed clear trends of change with the severity of chest-wall deformation in regards to both the depression and the asymmetry. Results of statistical analysis showed high correlation between new indices and HI, showing possibility of replacing HI.

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Acknowledgments

This study was supported by a grant from the Korea Health 21 R&D Project of the Ministry of Health and Welfare (Grant No. A020609) and the Brain Korea 21 Project of the Ministry of Education and Human Resources Development, Republic of Korea. This research was carried out with support from the Image Analysis Technological Foundation Planning and Development Board of the Korean Institute of Science and Technology Evaluation and Planning, Republic of Korea (M10429040003-04L2904-00310). This work was supported by Grant No. R01-2006-000-11368-0 from the Basic Research Program of the Korea Science and Engineering Foundation.

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Authors and Affiliations

  1. Department of Biomedical Engineering, Brain Korea 21 Project for Biomedical Science, College of Medicine, Korea University, Seoul, South Korea

    H. C. Kim, G. S. Jeong & K. Sun

  2. Department of Thoracic and Cardiovascular Surgery, College of Medicine, Korea University, Seoul, South Korea

    H. J. Park & K. Sun

  3. Department of Radiology, College of Medicine, Korea University, Seoul, South Korea

    S. Y. Ham

  4. Korea Artificial Organ Center, Korea University, 126-1, Anam-Dong 5-Ga, Sungbuk-Gu, Seoul, South Korea

    H. C. Kim, K. W. Nam, G. S. Jeong & K. Sun

  5. Department of Medical Engineering, Korea University, Seoul, South Korea

    S. Y. Choi

  6. Department of Electronics and Information Engineering, Korea University Sejong Campus, Jochiwon-eup, Yeongi-gun, Chungcheongnam-do, Jochiwon, South Korea

    J. S. Oh & M. G. Kim

  7. Department of Medical Science (Biomedical Engineering), College of Medicine, Korea University, Seoul, South Korea

    H. Choi

  8. Department of Radiology, Konkuk University Hospital, Seoul, South Korea

    S. W. Park

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  1. H. C. Kim
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  6. J. S. Oh
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  7. H. Choi
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  8. G. S. Jeong
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  9. S. W. Park
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  10. M. G. Kim
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  11. K. Sun
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Corresponding authors

Correspondence to M. G. Kim or K. Sun.

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Kim, H.C., Park, H.J., Ham, S.Y. et al. Development of automatized new indices for radiological assessment of chest-wall deformity and its quantitative evaluation. Med Biol Eng Comput 46, 815–823 (2008). https://doi.org/10.1007/s11517-008-0367-2

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  • DOI: https://doi.org/10.1007/s11517-008-0367-2

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