Tissue Extraction of Ultrasonic Image by Using Two-Dimensional AR Model

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  • 2次元場自己回帰モデルを用いた超音波画像における組織抽出
  • 2ジゲンバ ジコ カイキ モデル オ モチイタ チョウオンパ ガゾウ ニ オケ

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An image obtained by ultrasonic medical equipment is poor in quality because of speckle noise, that is caused by the quality of ultrasonic beam and so on. Thus, it is very difficult to detect internal organs or the diseased tissues from a medical ultrasonic image by the processing, which is used only gray-scale of the image. To analyze the ultrasonic image, it is necessary to use not only gray-scale but also appropriate statistical character. In this paper, we suggest a new method to extract regions of internal organs from an ultrasonic image by the discrimination function. The discrimination function is based on gray-scale and statistical characters of the image. This function is determined by using parameters of the multi-dimensional autoregressive model.

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