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PSNR Analysis of Ultrasound Images for Follow-up of Hepatocellular Carcinoma

간세포암 추적관찰 초음파영상의 PSNR 분석

  • Received : 2015.04.30
  • Accepted : 2015.08.25
  • Published : 2015.06.30

Abstract

In this paper, a method was proposed for objective and scientific judgment on disease conditions that is currently relied on subjective judgment of ultrasound practitioners. In the proposed method, mean squared errors (MSE) in ultrasound images for follow-up of HCC patients were obtained and the Peak Signal to Noise Ratio(PSNR) of the ultrasound images was analyzed. According to the results of analysis, MSE and PSNR values changed over time. This is attributable to changes in ultrasound images resulting from increases in utrasonic echoes following the progression of HCC. The results of the present study can be used as a method for scientific and objective judgment in ultrasonic scan instead of current subjective judgment by practitioners.

본 연구에서는 술자의 주관적인 판단에 의존하고 있는 질환 여부의 판정을 객관적이고 과학적인 방법으로 판정하기 위한 방안을 제안하였다. 제안된 방법에서는 간세포암 환자를 추적관찰 한 초음파영상을 MSE(Mean Squared Error : 평균제곱오차)를 구한 후 PSNR(Peak Signal to Noise Ratio)분석을 하였다. 분석한 결과 시간이 지남에 따라 MSE값과 PSNR값이 변화함을 알 수 있었다. 이러한 이유는 간세포암이 진행됨에 따라 초음파 에코의 증가로 초음파영상의 변화에 기인하는 것이다. 본 논문의 결과는 술자의 주관적인 판단에 의하여 행해지고 있는 초음파 검사를 과학적이고 객관적인 판정을 할 수 있는 방법으로 활용될 수 있을 것이다.

Keywords

References

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