지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 발행연도
- 2021.3
- 수록면
- 50 - 59 (10page)
- DOI
- 10.4283/JMAG.2021.26.1.050
이용수
초록· 키워드
오류제보하기
The purpose of this study was to confirm the utility of the median modified Weiner filter (MMWF) noise reduction algorithm in T₂-weighted brain MR images. We acquired brain MR images using both real experiment and simulation, and performed comparative evaluation with conventional noise reduction algorithms through calculation of factors for the noise level and similarity. As a result, evaluation of the noise level and similarity showed the most improved in the image, which the MMWF noise reduction algorithm was applied. Moreover, additional experiment was conducted using real MR device and water phantom to more clearly prove the efficiency of the MMWF noise reduction algorithm. The noise level and intensity profile results derived from the real T₂-weighted MR image proved the effectiveness of the MMWF noise reduction algorithm. In conclusion, the proposed MMWF noise reduction algorithm demonstrated a very promising performance for improving the image quality in T₂-weighted MR image.
목차
1. Introduction
2. Materials and Methods
3. Results and Discussion
5. Conclusion
References
참고문헌 (33)
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