Improvement of Automated Identification of the Heart Wall in Echocardiography by Suppressing Clutter Component
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概要
- 論文の詳細を見る
For the facilitation of analysis and elimination of the operator dependence in estimating the myocardial function in echocardiography, we have previously developed a method for automated identification of the heart wall. However, there are misclassified regions because the magnitude-squared coherence (MSC) function of echo signals, which is one of the features in the previous method, is sensitively affected by the clutter components such as multiple reflection and off-axis echo from external tissue or the nearby myocardium. The objective of the present study is to improve the performance of automated identification of the heart wall. For this purpose, we proposed a method to suppress the effect of the clutter components on the MSC of echo signals by applying an adaptive moving target indicator (MTI) filter to echo signals. In vivo experimental results showed that the misclassified regions were significantly reduced using our proposed method in the longitudinal axis view of the heart.
- 2013-07-25
著者
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Kanai Hiroshi
Graduate School Of Biomedical Engineering Tohoku University
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Hasegawa Hideyuki
Graduate School Of Biomedical Engineering Tohoku University
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Takahashi Hiroki
Graduate School of Biomedical Engineering, Tohoku University, Sendai 980-8579, Japan
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