降低扩散的MRI:分析的考虑和含义
Jose-Pedro Manzano-Patron1, Steen Moeller2, Jesper L R Andersson3
1Sir Peter Mansfield Imaging Centre, School of Medicine, University of Nottingham, UK.
bioRxiv : the preprint server for biology
|August 7, 2023
概括
扩散核磁共振 (dMRI) 消噪方法可以提高信号质量,但可能导致空间分辨率损失. 对dMRI数据而言,复杂域的denoising比大小域的方法提供了更高的性能.
科学领域:
- 医疗成像医学成像
- 神经成像是一种神经成像.
- 生物物理学的生物物理.
背景情况:
- 扩散MRI (dMRI) 数据中的噪声降低了测量准确度和精度.
- 现有的dMRI否定方法的性能,特别是关于偏差和噪声底部效应,需要客观的表征.
- 在客观评估各种dMRI拒绝技术的有效性方面仍然存在差距.
结论:
- 对于提高数据质量和实现超高分辨率成像等先进应用而言,dMRI denoising是至关重要的.
- 对dMRI数据的复杂域处理对性能无效是有利的.
- 需要进一步的研究来完善dMRI的除策略和黄金标准定义.
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