한국산학기술학회논문지 (Journal of the Korea Academia-Industrial cooperation Society)

  • 제12권5호
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  • Pages.2261-2266
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  • 2011
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  • 1975-4701(pISSN)
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  • 2288-4688(eISSN)
한국산학기술학회 (The Korea Academia-Industrial cooperation Society)
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초음파 도플러 컬러 유동 사상에서 신호 대 잡음비 특성의 향상

Enhancement of SNR Characteristics in Ultrasound Doppler Color Flow Mapping

  • Kwon, Sung-Jae (Department of Communication Engineering, Daejin University)
  • 투고 : 2011.02.21
  • 심사 : 2011.05.12
  • 발행 : 2011.05.31
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초록

초음파 컬러 유동 사상에서 가장 많이 사용되는 Kasai 알고리듬은 래그-1 자기상관 방법으로서 적은 계산량으로 비교적 우수하게 도플러 평균주파수를 추정한다. 하지만 특히 깊은 곳을 영상화하는 경우 낮은 신호 대 잡음비로 인해 추정성능이 저하된다. 본 논문에서는 낮은 신호 대 잡음비에서도 Kasai 알고리듬보다 우수한 디에일리어스된 래그-2 자기상관방법을 제안하고 시뮬레이션을 통해 성능을 검증하였다. 제안한 방법은 잡음이 존재하는 경우 도플러 평균주파수 추정 성능을 평균 자승 오차 측면에서 전반적으로 약 2~3dB 정도 개선시켜줌을 확인하였다.

Being the most widely used in ultrasound Doppler color flow mapping, the Kasai algorithm, also known as lag-1 autocorrelation method, is capable of estimating the Doppler mean frequency relatively accurately with a modest amount of computation. Particularly in the case of imaging deep lying areas, however, its performance suffers due to low signal-to-noise ratios. The purpose of this paper is to propose a dealiased lag-2 autocorrelation method which is superior to the Kasai algorithm even at low signal-to-noise ratios and to compare their performances through simulations. The proposed algorithm is found to be better by about 2 to 3 dB than the Kasai algorithm in terms of Doppler mean frequency estimation error in the presence of measurement noise.

키워드

참고문헌

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