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German physicist Wilhelm Röntgen (1845–1923) was experimenting with electrical current when he discovered that a mysterious and invisible "ray" would pass through his flesh but leave an outline of his bones on a screen coated with a metal compound. In 1895, Röntgen made the first durable record of the internal parts of a living human: an "X-ray" image (as it came to be called) of his wife’s hand. Scientists worldwide quickly began their own experiments with...
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X-ray Dose Reduction through Adaptive Exposure in Fluoroscopic Imaging
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排放幽灵成像:通过数据增强进行重建.

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幽灵成像通过调节发生束来使用单像素探测器重建物体. 这项研究介绍了一种数据增强方法,用于改进QR因子化和无效化,增强2D对象重建.

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科学领域:

  • 光学和光子学 在光学和光子学.
  • 计算机成像成像技术
  • 在X射线成像中使用X射线成像.

背景情况:

  • 幽灵成像使用单像素探测器重建没有空间分辨率的物体.
  • 发生光束的空间调制与不同的面具方向是幽灵成像的关键.
  • 传统方法面临的挑战是测量矩阵因子化,当方向小于像素时.

研究的目的:

  • 改进幽灵成像重建,特别是当面具定向的数量 (N) 小于像素的数量 (P) 时.
  • 开发一种使用幽灵成像技术进行二维物体重建的强大方法.
  • 为了提高精度和减少幽灵成像重建中的噪音.

主要方法:

  • 开发了一种数据增强方法,以实现对N < P的测量矩阵的QR分解.
  • 采用截断的单数值分解来确定噪声抑制的摩尔-罗斯伪反向.
  • 应用了自适应权重光滑方法来进一步消除重建图像的阴影.
  • 利用在布鲁克黑文国家实验室获得的X射线光数据进行实验验证.

主要成果:

  • 提出的方法即使在N < P时也能成功执行QR分解.
  • 截断的SVD和自适应重量平滑的组合显著减少重建中的噪音.
  • 与Gram-Schmidt正交法化方法相比,模拟显示出更高的性能.
  • 对实验性X射线光数据的成功应用证明了其实际效用.

结论:

  • 新的数据增强和否定策略增强了幽灵成像重建的准确性和稳定性.
  • 该方法在面具定向有限的场景中特别有效.
  • 这项工作为幽灵成像应用提供了重大进展,包括X射线光成像.