PET/MR 영상에서의 팬텀을 활용한 노이즈 감소를 위한 변형된 중간값 위너필터의 적용 효율성 연구

• 영문명: Efficiency of Median Modified Wiener Filter Algorithm for Noise Reduction in PET/MR Images: A Phantom Study
• 발행기관: 대한방사선과학회(구 대한방사선기술학회)
• 저자명: 조영현(Young Hyun Cho) 이세정(Se Jeong Lee) 이영진(Youngjin Lee) 박찬록(Chan Rok Park)
• 간행물 정보: 『방사선기술과학』방사선기술과학 제44권 제3호, 225~229쪽, 전체 5쪽
• 주제분류: 의약학 > 방사선과학
• 파일형태: PDF
• 발행일자: 2021.06.30

영문 초록

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.

목차

Ⅰ. 서 론

Ⅱ. 대상 및 방법

Ⅲ. 결 과

Ⅳ. 고 찰

Ⅴ. 결 론

키워드

펫엠알 제이작 펫 팬텀 노이즈 감소 알고리즘 중간값 변형 위너 필터 핵의학 영상 PET/MR Jaszczak PET Phantom Noise Reduction Algorithm Median Modified Wiener Filter Nuclear Medicine