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

Authors
Kim, H. C.Park, H. J.Ham, S. Y.Nam, K. W.Choi, S. Y.Oh, J. S.Choi, H.Jeong, G. S.Park, S. W.Kim, M. G.Sun, K.
Issue Date
Aug-2008
Publisher
SPRINGER HEIDELBERG
Keywords
funnel chest; pectus excavatum; chest-wall deformity; quantitative evaluation; assessment index
Citation
MEDICAL & BIOLOGICAL ENGINEERING & COMPUTING, v.46, no.8, pp.815 - 823
Indexed
SCIE
SCOPUS
Journal Title
MEDICAL & BIOLOGICAL ENGINEERING & COMPUTING
Volume
46
Number
8
Start Page
815
End Page
823
URI
https://scholar.korea.ac.kr/handle/2021.sw.korea/122897
DOI
10.1007/s11517-008-0367-2
ISSN
0140-0118
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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College of Medicine > Department of Medical Science > 1. Journal Articles
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