PET/MR 영상에서의 팬텀을 활용한 노이즈 감소를 위한 변형된 중간값 위너필터의 적용 효율성 연구Efficiency of Median Modified Wiener Filter Algorithm for Noise Reduction in PET/MR Images: A Phantom Study
- Other Titles
- Efficiency of Median Modified Wiener Filter Algorithm for Noise Reduction in PET/MR Images: A Phantom Study
- Authors
- 조영현; 이세정; 이영진; 박찬록
- Issue Date
- Jun-2021
- Publisher
- 대한방사선과학회
- Keywords
- PET/MR; Jaszczak PET Phantom; Noise Reduction Algorithm; Median Modified Wiener Filter; Nuclear Medicine; 펫엠알; 제이작 펫 팬텀; 노이즈 감소 알고리즘; 중간값 변형 위너 필터; 핵의학 영상
- Citation
- 방사선기술과학, v.44, no.3, pp.225 - 229
- Journal Title
- 방사선기술과학
- Volume
- 44
- Number
- 3
- Start Page
- 225
- End Page
- 229
- URI
- https://scholarworks.bwise.kr/gachon/handle/2020.sw.gachon/81636
- ISSN
- 2288-3509
- Abstract
- The digital image such as medical X-ray and nuclear medicine field mainly contains noise distribution. The noise degree in image degrades image quality. That is why, the noise reduction algorithm is efficient for medical image field. In this study, we confirmed effectiveness of application for median modified Wiener filter (MMWF) algorithm for noise reduction in PET/MR image compared with median filter image, which is used as conventional noise redcution algorithm. The Jaszczak PET phantom was used by using 18F solution and filled with NaCl+NiSO4 fluids. In addition, the radioactivity ratio between background and six spheres in the phantom is maintained to 1:8. In order to mimic noise distribution in the image, we applied Gaussian noise using MATLAB software. To evlauate image quality, the contrast to noise ratio (CNR) and coefficient of variation (COV) were used. According to the results, compared with noise image and images with MMWF algorithm, the image with MMWF algorithm is increased approximately 33.2% for CNR result, decreased approximately 79.3% for COV result. In conclusion, we proved usefulness of MMWF algorithm in the PET/MR images.
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