Journal of the Korean Society of Radiology (한국방사선학회논문지)

The Korean Society of Radiology (한국방사선학회)
권호 표지
DOI QR코드

DOI QR Code

A Study on Effectiveness of Designed Composite Filter with Noise Reduction in Ultrasound Image for Diffuse Liver Disease

미만성 간질환의 초음파 영상에서 노이즈 감소를 위한 복합필터의 설계 및 유용성에 관한 연구

  • Lee, Jin-Soo (Department of Radiology, University Haeundae Paik Hospital) ;
  • Kim, Changsoo (Department of Radiological Science, Catholic University of Pusan) ;
  • Im, In-Chul (Department of Radiological Science, Dongeui University) ;
  • Yang, Sung-Hee (Department of Radiology, Ilsin Christian Hospital)
  • 이진수 (인제대학교 해운대백병원 영상의학과) ;
  • 김창수 (부산가톨릭대학교 보건과학대학 방사선학과) ;
  • 임인철 (동의대학교 방사선학과) ;
  • 양성희 (일신기독병원 영상의학과)
  • Received : 2017.01.20
  • Accepted : 2017.04.30
  • Published : 2017.04.30
Download PDF
⟨ Previous Next ⟩

Abstract

This paper proposes a composite filter for noise reduction of image. To improve the image quality by reducing the noise in the liver ultrasound image, we tried to help the accurate image analysis. In the experiment, the top seven composite filters were selected by combining the Gaussian blur filter, the sharpening filter, and the median filter using the ATS-539 ultrasonic phantom, and applied to the ultrasound image in which this was done. As a result, it was found that the values of SNR, CNR and MSR all increased when the top seven composite filters were applied. In addition, PSNR of more than 30 dB, close to SSIM 1 showed that the image loss rate is small. Therefore, the appropriate application of the proposed composite filter in this research will be useful for accurate video reading and analysis.

본 연구는 영상의 노이즈 감소를 위한 복합필터 제안과 간 초음파영상에서 노이즈 제거를 통한 영상품질의 향상으로 정확한 영상 해석에 도움을 주고자 하였다. 실험은 ATS-539 다목적용 초음파팬텀을 이용하여 Gaussian blurring filter, Sharpening filter, Median filter의 조합으로 상위 7개의 복합필터를 선정하고 이를 간 초음파영상에 적용하였다. 그 결과 상위 7개 복합필터 적용하였을 때 SNR, CNR, MSR 값이 모두 증가하는 것으로 나타났다. 이 중 복합필터 1과 2가 가장 높은 값을 나타내었다. 또한 PSNR 30 dB이상, SSIM 1에 가까운 결과값을 나타내어 영상의 손실률이 적음을 알 수 있었다. 따라서 본 연구에서 제안한 복합필터의 적절한 적용은 정확한 영상의 판독과 해석에 도움을 줄 수 있을 것이다.

Keywords

References

  1. Y. S. Kim, "Practical Ultrasonography in Hepatobiliary system", Single Topic Symposium, Vol. 2013, No. 1, pp. 28-40, 2013.
  2. Y. D. Lee, S. U. Jeon, S. Y. Lee, J. H. Park, S. S. Ha, D. H. Kim, W. Y. Tak, Y. O. Kwon, S. K. Kim, Y. H. Choi, J. M. Jung, D. J. Kim, H. I. Bae "Diagnostic Accuracy of Ultrasonography-guided Needle Biopsy of the Liver as determined by Postsurgical sampling", Clinical and Molecular Hepatology, Vol. 6, No. 3, pp. 321-327, 2000.
  3. C. S. Kim, S. J. Ko, S. S. Kang, J. H. Kim, D. H. Kim, S. Y. Choi, "Computer-Aided Diagnosis for Liver Cirrohsis using Texture features Information Analysis in Computed Tomography", J. Korean Contents Association, Vol. 12, No. 4, pp.358-366, 2012.
  4. J. S. Lee, C. S. Kim, "Image Analysis of Diffuse Liver Disease using Computer-Aided Diagnosis in the Liver US Image", Journal of the Korean Society of Radiology, Vol. 9, No. 4, pp. 233-240, 2015.
  5. H. J. Chang, R. T. George, K. H. Schuleri, K. Evers, K. Kitagawa, J. A. Lima, A. C. Lardo, "Prospective Electrocardiogram-gated delayed enhanced multidetector computed tomography accurately quantifies infarct size and reduces radiation exposure", JACC, Cardiovascular Imaging, Vol. 2, Issue 4, pp. 421-420, 2008.
  6. K. S. Jung, H. S. Min, Y. S. Song, "Effect of Strcutured Information Provided on Self Care Knowledge, Self Care Performance, and Functional Status of Liver Cirrhosis Patients", Korea Journal of Rehabilitation Nursing, Vol. 10, No. 1, pp. 29-36, 2007.
  7. J. S. Lee, S. J. Ko, S. S. Kang, J. H. Kim, D. H. Kim, C. S. Kim, "Quantitative Evaluation of Image Quality using Automatic Exposure Control & Sensitivity in the Digital Chest Image", IThe Korea Contents Society, Vol. 13, No. 8, pp. 275-283, 2013.
  8. J. W. Lim, E. G. Kim, "Noise Reduction by Filter Improvement in Mixed Noise Image", Journal of the Institute of Electronics Engineers of Korea, Vol. 50, No. 5, pp. 231-241, 2013.
  9. S. Y. Shin, M. H. Lim, K. E. Kim, "Digital Image Processing of Side Scan Sonar for Underwater Manmade Structure", Journal of the Korean Society of Marine Engineering, Vol. 33, No. 2, pp. 344-354, 2009. https://doi.org/10.5916/jkosme.2009.33.2.344
  10. S. S. Hong, H. C. Kim, "A study on Dose and Image Quality according to X-ray Photon Detection Method in Digital Radiograhy System", Journal of the Institute of Electronics Engineers of Korea, Vol. 50, No. 12, pp. 247-253, 2013.
  11. L. Wang, J. Lu, Y. Li, T. Yahagi, T. Okamoto, "Noise Removal for Medical X-ray Images in Wavelet Domain", Electrical Engineering in Japan, Vol. 163, No. 3, pp. 237-244, 2008.
  12. P. Bao. Zhang. L. Zhang, "Noise reduction for magnetic resonance images via adaptive multiscale products thresholding", IEEE Tra, Vol. 39, No. 11, pp. 625-636, 2014.
  13. S. C. Kim, B. I. Kim, "Analysis on Subjective Image Quality Assessments for Smart Phone/Pad Environments", Electronics and Telecommunications Trends, Vol. 28, No. 3, pp. 125-136, 2013.
  14. K. S. Kang, J. H. Lee, "Appraisal of MRI Image", Journal of the Korean Society of Radiology, Vol. 3, No. 4, pp.13-20, 2009.
  15. Z. Wang, C. Bovik, H. R. Sheikh, E. P. Simoncelli, "Image Quality Assessment: From Error Visibility to Structural Similarity", IEEE Transactions on Image Processing, Vol. 13, No. 4, pp. 600-612, 2004. https://doi.org/10.1109/TIP.2003.819861
  16. J. H. Jang, Y. S. Kim, "Tthe study of image quality evaluation and compression method using contourlet transform", Journal of the semiconductor and display technology, Vol. 9, No. 4, pp. 57-61, 2010.
  17. J. H. Min, J. M. Kim, H. W. Jung, C. I. Ok, "Research About Filter Association and Clinical Effect Noise Reduction of Digital Medical Imaging System", Korean Society of Radiological Science, Vol. 30, No. 4, pp. 344-354, 2007.