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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
- 2019.6
- 수록면
- 223 - 229 (7page)
- DOI
- 10.4283/JMAG.2019.24.2.223
이용수
초록· 키워드
오류제보하기
Diffusion-weighted imaging (DWI) is frequently used in the field of diagnostic medicine to detect various human diseases. In DWI, noise suppression is very important for achieving high detection accuracy of diseases. In this study, we develop a deep convolutional neural network (Deep-CNN) noise reduction algorithm and evaluate its effectiveness in DWI by performing both simulations and real experiments with a 1.5- and a 3.0-T MRI system. The results validate the proposed Deep-CNN algorithm for DWI. Compared with previously developed non-local means (NLM) algorithms, the proposed Deep-CNN algorithm achieves superior quantitative results. In conclusion, the quantitative results verify that the proposed Deep-CNN algorithm has higher noise reduction efficiency and image visibility than previously developed algorithms for DWI.
목차
1. Introduction
2. Materials and Methods
3. Results and Discussion
4. Conclusion
References
참고문헌 (29)
참고문헌 신청
European Society of Radiology / 2015 / Insights Imaging 6:141
J. H. Thrall / 2016 / Radiology 279:660
M. Mascalchi / 2006 / AJR 187:421
조무성 / 2011 / Development of MRI Scanning Technique that is Comfortable for Patients with Anxiety Disorder / Journal of Magnetics 16(4):350~362
이영진 / 2016 / Comparison Study of Image Performance with Contrast Agent Contents for Brain Magnetic Resonance Imaging / Journal of Magnetics 21(2):281~285
J. H. Thrall / 2016 / Radiology 279:660
M. Mascalchi / 2006 / AJR 187:421
조무성 / 2011 / Development of MRI Scanning Technique that is Comfortable for Patients with Anxiety Disorder / Journal of Magnetics 16(4):350~362
이영진 / 2016 / Comparison Study of Image Performance with Contrast Agent Contents for Brain Magnetic Resonance Imaging / Journal of Magnetics 21(2):281~285
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UCI(KEPA) : I410-ECN-0101-2019-428-000872158