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.
journal_name
Med Biol Eng Computjournal_title
Medical & biological engineering & computingauthors
Kim HC,Park HJ,Ham SY,Nam KW,Choi SY,Oh JS,Choi H,Jeong GS,Park SW,Kim MG,Sun Kdoi
10.1007/s11517-008-0367-2subject
Has Abstractpub_date
2008-08-01 00:00:00pages
815-23issue
8eissn
0140-0118issn
1741-0444journal_volume
46pub_type
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