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ID 112272
タイトル別表記
Texture in aging
著者
Sogawa, Kazuki Tokushima University
Takamatsu, Naoko Tokushima University|Vihara Hananosato Hospital
Mori, Atsuko Tokushima University
Yamazaki, Hiroki Tokushima University
キーワード
skeletal muscle
ultrasound
texture
run-length matrix
autoregressive model
資料タイプ
学術雑誌論文
抄録
Texture analysis characterizes regions in an image by their texture content and has been utilized to infer the underlying structures of medical images such as skeletal muscles. Although potentially useful in tissue diagnosis and assessing disease progression of neuromuscular diseases, the use of texture analysis in such purposes are limited, due to lack of information such as effects of aging. Thus, we performed texture analysis of medial gastrocnemius in healthy individuals form their 20s to late 80s. Among the 283 texture features in 6 classes, the features related to histogram, co-occurrence matrix, absolute gradient, and wavelet were correlated to age in 17-40% of the parameters, while none of the features related to run-length matrix and autoregressive model had significant correlation to age. This study showed that age-dependency in many texture features are present and need to be taken into account in elucidating the clinical significance. By contrast, the features related to run-length matrix and autoregressive model could have clinical utility.
掲載誌名
The Journal of Medical Investigation
ISSN
13496867
13431420
cat書誌ID
AA12022913
AA11166929
出版者
Faculty of Medicine Tokushima University
65
3-4
開始ページ
274
終了ページ
279
並び順
274
発行日
2018-08
出版社版DOI
出版社版URL
フルテキストファイル
言語
eng
著者版フラグ
出版社版
部局
医学系