医用超音波画像における生体組織領域の特徴と境界の抽出

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タイトル別名
  • Feature and Border Extraction of Tissue Region in Medical Ultrasonic Image
  • イヨウ チョウオンパ ガゾウ ニ オケル セイタイ ソシキ リョウイキ ノ ト

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Today, information obtained a medical image is important for a diagnosis, such as X-ray C. T., M. R. I., ultrasonic image. Especially, ultrasonic image has the merits of the simplicity of the machine, low cost, and safety. On the other hand, ultrasonic image is sometimes poor in quality because of much noise. Therefore, the diagnosis by ultrasonic image has been depended on the judgement of skilled doctors. It is necessary to develope a method of an automatic diagnosis that is based on a qualitative evaluation. In this paper, we present a novel method of the regional extraction by using a statistical character of the echo speckle pattern in ultrasonic image. The discriminating function is defined to recognize the similarity of the statiscical character. It is based on a multi-dimensional autoregressive model. Using the proposed regional extraction method, it is made possible to discriminate and extract plural number of regions in one image. We also propose the developed method to extract the border of the tissue region, that is an application of the regional extraction method. Finally, we have evaluated those methods by analysing the ultrasonic image including the region of the tissue in human body and the simulated data.

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