在MRI图像重建中的"隐藏噪音"问题.
Jiayang Wang1, Di An1, Justin P Haldar1
1Signal and Image Processing Institute, Ming Hsieh Department of Electrical and Computer Engineering, University of Southern California, Los Angeles, California, USA.
Magnetic resonance in medicine
|April 5, 2024
概括
参考数据中的隐藏噪声可能会误导对图像重建方法的评估. 使用考虑噪声的替代错误指标可以提高排名重建性能的准确性.
科学领域:
- 医疗成像医学成像
- 图像重建 图像的重建
- 定量分析 定量分析
背景情况:
- 定量错误指标,如根平均二次错误和结构相似度指数,是评估图像重建的标准.
- 这些指标将重建的图像与完全采样的参考数据进行比较,假设参考是完美的黄金标准.
研究的目的:
- 调查参考数据中"隐藏噪声"对图像重建方法性能排名的影响.
- 为了确定传统的错误指标是否被参考数据中的噪声所混.
主要方法:
- 通过各种图像重建技术利用实验和模拟的k空间数据.
- 比较了从噪音基准数据和更高质量的基准数据中获得的性能指标.
主要成果:
- 排名最高的重建方法与杂的参考数据显著不同于排名最高的高质量数据的重建方法.
- 当与杂的引用进行评估时,传统的指标导致了低于最佳的重建选择.
- 考虑噪声的替代误差指标减少了这些差异.
结论:
- 参考数据中的"隐藏噪声"可以显著误导使用常规指标的图像重建方法的评估和排名.
- 使用更好处理噪声的替代错误指标对于在图像重建中准确的性能评估至关重要.
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