Automatic fascia extraction and classification for measurement of muscle layer thickness

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  • 筋層の厚さ測定を目的とする筋膜の自動判別・分類手法

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<p>In this report, we proposed a method of classification of fascia and other tissue using Histograms of Oriented Gradients (HOG) and Support Vector Machine (SVM) in ultrasound images. The muscle layer can be determined by detecting the fascia. The decline of muscle and bone density due to aging is increased the likelihood of injury. So it is considered a serious problem. To cope with this problem, we proposed a method of automatic fascia classification to visualize muscle thickness. Our method use SVM based on the texture analysis of ultrasound images. Our method achieves about 90% Accuracy and Recall by considering that the fascia is a continuous tissue. Experimental results show the effectiveness of our proposed automatic fascia extraction method.</p>

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