Tissue Extraction from Ultrasonic Image by Prediction Filtering (Special Section on Digital Signal Processing)

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概要

• 論文の詳細を見る

• 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.

• 社団法人電子情報通信学会の論文
• 1996-08-25

著者

• Ito Masayasu

  Department Of Electronic And Information Engineering Faculty Of Engineering Tokyo University Of Agri

• Takemura Atsushi

  Department Of Electronic And Information Engineering The Fuculty Of Technology Tokyo University Of A

関連論文

• An Investigation on Practicability of Reflection Mode Diffraction Tomography
• Improvement of Azimuthal Resolution of Ultrasonic Tomography by Electronic Compound Scanning : Medical Ultrasonics
• Treatment of uncomplicated gonococcal urethritis by double-dosing of 200mg cefixime at a 6-h interval
• Basic Investigation on Reflection Mode Ultrasonic Attenuation Tomography
• Tissue Extraction from Ultrasonic Image by Prediction Filtering (Special Section on Digital Signal Processing)

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