Wavelets 변환을 이용한 초음파 신호의 분석 (II)

An analysis of Ultrasound signals using wavelet transform (II)

  • 홍세원 (인제대학교 보건대학 의용공학과) ;
  • 김덕재 (인제대학교 보건대학 의용공학과) ;
  • 최홍호 (인제대학교 보건대학 의용공학과)
  • Hong, S.W. (Department of Biomedical Engineering, College of Health, Inje University) ;
  • Kim, D.J. (Department of Biomedical Engineering, College of Health, Inje University) ;
  • Choi, H.H. (Department of Biomedical Engineering, College of Health, Inje University)
  • 발행 : 1997.11.28

초록

In this study, we proposed an application of wavelet transform or analysis of ultrasound echo signals to improve troubles of convenianced methods such as SDM, SSM. We examined method using wavelet transform to prove again our proposal which we have proposed prior time. At first, we made phantoms by adding 0.01, 0.015, 0.02, 0.025, 0.03, 0.035, 0.04, 0.045, 0.05($g/cm^3$) on constant quantity of distilled water and agar, and collected echo signals. We used SDM(spectral difference method) and WTM(wavelet transform method) as signal processing method. To compare with WTM, SDM was used. In WTM, we selected detail signals of level 3 of Daubechies 16, and got derivative, calculated area of it. Next, we calculated slopes. In SDM, it was 0.0308 and in WTM, it was 0.5248. As a result, we knew that we could know that the values using WTM showed more detailed than those using SDM. So we could concluded wavelet transform is very useful and powerful in ultrasound tissue characterization.

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