| *商品について |
|
表紙はついていません（本文のみ中綴じ製本です）。
号単位でも購入できます。
すべてモノクロ印刷です。
Extended Summaryはついていません。
|
 |
| ・会員価格 ¥550 |
| ・一般価格 ¥770 |
|
|
| こちらはBookPark「電気学会 電子図書館（IEEJ Electronic Library）」による文献紹介ページです。 |
|
 |
 |
電気学会会員の方はこちらから一旦ログインのうえ、マイページからお入りください。
会員価格で購入することができます。
|
|
| 非会員の方はログインの必要はありません。このまま お進みください。 |
|
|
| ■論文No. |
|
| ■ページ数 |
6ページ |
■発行日
|
2017/04/01 |
| ■タイトル |
Near Real-time Measurement of Myocardial Contraction and Relaxation Based on High-frame-rate Ultrasound with a Graphical Processing Unit System |
| ■タイトル(英語) |
Near Real-time Measurement of Myocardial Contraction and Relaxation Based on High-frame-rate Ultrasound with a Graphical Processing Unit System |
| ■著者名 |
Takuma Asai (Graduate School of Biomedical Engineering, Tohoku University), Hirofumi Taki (Graduate School of Biomedical Engineering, Tohoku University), Hiroshi Kanai (Graduate School of Engineering, Tohoku University) |
| ■著者名(英語) |
Takuma Asai (Graduate School of Biomedical Engineering, Tohoku University), Hirofumi Taki (Graduate School of Biomedical Engineering, Tohoku University), Hiroshi Kanai (Graduate School of Engineering, Tohoku University) |
| ■価格 |
会員 ¥550 一般 ¥770 |
| ■書籍種類 |
論文誌(論文単位) |
| ■グループ名 |
【C】電子・情報・システム部門 |
| ■本誌 |
電気学会論文誌C（電子・情報・システム部門誌） Vol.137 No.4 （2017） 特集：量子・情報・エレクトロニクス医療応用
|
| ■本誌掲載ページ |
573-578ページ |
| ■原稿種別 |
論文／英語 |
| ■電子版へのリンク |
https://www.jstage.jst.go.jp/article/ieejeiss/137/4/137_573/_article/-char/ja/
|
| ■キーワード |
speckle tracking，myocardial contraction/relaxation property，two-dimensional (2D) displacement estimation，graphical processing unit (GPU) |
| ■要約(日本語) |
|
| ■要約(英語) |
Several speckle tracking methods have been proposed for noninvasive and quantitative evaluation of tissue motion. Since the low temporal resolution causes a large myocardial motion in the elevational direction and a large deformation, two-dimensional (2D) speckle tracking at a high frame rate is desirable for accurate estimation of myocardial contraction and relaxation. 2D speckle tracking at a high frame rate requires a high computational load, and the large suppression of calculation time is, therefore, essential for clinical use. In the present study, we investigate the minimum frame rate required for the estimation of myocardial contraction and relaxation. Furthermore, we employ a parallel computing principle using a graphical processing unit (GPU) system with 2,496 streaming processors to decrease the calculation time effectively. The employment of a parallel computing principle with a GPU system successfully decreased the calculation time to 1/50 of that using a desktop PC with a CPU. When the number of tracking points is 64, the calculation time was decreased to 28.7 s for the estimation during 1 s at a frame rate of 287 Hz, indicating that the proposed method with a GPU system has a potential to realize a near real-time estimation of myocardial contraction and relaxation. |
| ■版 型 |
A4 |
|
|
|
