在转换域中,在本地较低级别的denoising
Steen Moeller1, Erick O Buko1, Suhail P Parvaze1
1University of Minnesota, Department of Radiology, Center for Magnetic Resonance Research, 2021 6 Street SE.
bioRxiv : the preprint server for biology
|December 11, 2023
概括
这项研究引入了一种新的转换域方法,用于磁共振成像 (MRI) 无色化,以更少的扫描来提高图像质量. 这种先进的技术通过保留微妙的图像细节来增强定量MRI应用.
科学领域:
- 医疗成像医学成像
- 信号处理 信号处理
- 量化MRI是指数量化的MRI.
背景情况:
- 局部低等级 (LLR) 否定对于MRI系列是有效的,但在定量MRI中常见的有限图像数量方面存在困难.
- 现有的LLR方法的性能随着图像的减少而下降,影响了定量分析的准确性.
结论:
- 开发的转换域LLR无色化方法可以产生高质量的MR图像.
- 它兼容原始k空间和供应商重建的数据.
- 能够改善成像和更准确的定量MRI分析和参数提取.
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