GENERARIZATION OF RICIAN DISTRIBUTION FOR SPECKLE PATTERN IN ULTRASOUND IMAGE PROCESSING AND RANDOM FLIGHTS PROBLEM IN SHANNON'S SIGNAL SPACE
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- OHTA Mitsuo
- Faculty of Engineering, Kinki University
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- MIYATA Shigeharu
- Faculty of Engineering, Kinki University
Bibliographic Information
- Other Title
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- 超音波画像処理におけるSpeckleパターンのRician分布に対する一般化とShannonの信号空間における酔歩問題 : 画像応用
Abstract
In the ultrasound diagnosis field, an analysis of speckle image texture in ultrasound B-scans is one of the important researches using stochastic signal processing method. In this paper, it is focused on finding out theoretically the probability density function of the speckle image texture for the magnitude. First, the occurrence mechanism of speckle image texture is treated as a random walk problem in an multi-dimensional signal space based on Shannon's sampling theorem, by newly introducing a Hankel transformation type characteristic function. As a result , a unified probability density function expression has been explicitly proposed and it has been clarified that the present expression agrees with the well-known Rayleigh and Rician probability density functions as two special cases. Then, the legitimacy and the effectiveness of proposed stochastic analysis method has been experimentally confirmed by applying it to the speckle pattern of clinical B-scan image actually utilized for diagnostic purpose.
Journal
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- ITE Technical Report
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ITE Technical Report 15 (30), 1-8, 1991
The Institute of Image Information and Television Engineers
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Details 詳細情報について
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- CRID
- 1390001204521877760
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- NII Article ID
- 110003684869
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- ISSN
- 24330914
- 03864227
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- Text Lang
- en
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- Data Source
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- JaLC
- CiNii Articles
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- Abstract License Flag
- Disallowed
