简单的MATLAB和Python脚本用于多指数分析
Armin Afrough1,2, Rasoul Mokhtari1, Karen L Feilberg1
1Danish Offshore Technology Centre, Technical University of Denmark, Kongens Lyngby, Denmark.
Magnetic resonance in chemistry : MRC
|May 30, 2024
概括
本研究介绍了简单的MATLAB和Python代码,用于分析多指数衰变,这在磁共振应用中至关重要. 该软件有效地将衰变数据转化为生命周期分布,帮助复杂的流体和多孔材料分析.
科学领域:
- 物理 物理学 物理
- 化学 化学 化学
- 数据科学数据科学数据科学
背景情况:
- 多指数衰变是磁共振 (MR) 光谱,放松和成像学中常见的现象.
- 分析这种复杂的衰变模式对于理解各种物理系统至关重要.
研究的目的:
- 开发和呈现简单,高效的MATLAB和Python函数用于规范化的多指数分析.
- 为将指数衰变数据转化为衰变寿命分布提供强大的工具.
主要方法:
- 实现1D和2D数据反转的规范最小方程解决方案.
- 开发简洁的代码 (约5行1D,约20行2D) 具有强大的停止规则.
- 将方法应用于现实世界的例子,包括原油和多孔材料流体混合物.
主要成果:
- 用最小代码进行多指数分析的生产质量输出.
- 成功地将复杂的衰变数据转化为有意义的生命周期分布.
- 展示软件在分析各种样本磁共振放松的实用性.
结论:
- 开发的软件提供了一个简单的开放架构解决方案,用于多指数分析.
- 该代码易于使用或可以整合到磁共振和其他领域的其他研究软件中.
- 这项工作促进了对具有多指数衰变特征的物理现象的更深入的洞察.
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