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커뮤니티
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논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 발행연도
- 2021.3
- 수록면
- 41 - 49 (9page)
- DOI
- 10.4283/JMAG.2021.26.1.041
이용수
초록· 키워드
오류제보하기
Research has been conducted on techniques for adjusting magnetic resonance imaging (MRI) parameters to acquire images with better characteristics. In this study, we aim to confirm the optimal parameter values through quantitative evaluation and tendency analysis of T2 weighted images of the human brain acquired by adjusting the flip angle, number of excitations (NEX), and bandwidth (BW) using the user-friendly MRiLab simulation program. We also considered noise level and similarity evaluation parameters. According to the results, as NEX increases and BW decreases for a flip angle of 90°, the noise level and similarity evaluation improved, whereas they became less optimal beyond a 90° flip angle. Excessive parameter variation was found to cause additional noise and artifacts in such images, resulting in a deterioration of image clarity. Therefore, we confirmed that setting appropriate parameters is critical in magnetic resonance image acquisition.
목차
1. Introduction
2. Materials and Methods
3. Results
5. Conclusion
References
4. Discussion
참고문헌 (38)
참고문헌 신청
L. C. Ho / 2016 / Scientific Reports 6:1
E. K. Fram / 1987 / Magn. Reson. Imaging 5:201
M. Danaci / 2000 / Comput. Med. Imaging Graph 24:121
한예지 / 2016 / An Adaptive Diffusion-weighted Whole-body Magnetic Resonance Imaging Scheme Using the Multistation Approach / Journal of the Korean Physical Society 68(3):467~473
O. Cetin / 2020 / Inform. Med. Unlocked 20:100409
E. K. Fram / 1987 / Magn. Reson. Imaging 5:201
M. Danaci / 2000 / Comput. Med. Imaging Graph 24:121
한예지 / 2016 / An Adaptive Diffusion-weighted Whole-body Magnetic Resonance Imaging Scheme Using the Multistation Approach / Journal of the Korean Physical Society 68(3):467~473
O. Cetin / 2020 / Inform. Med. Unlocked 20:100409
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