旋转调制Gamma-Ray成像仪的噪声补偿代数重建
Noise-Compensating Algebraic Reconstruction for a Rotating Modulation Gamma-Ray Imager
摘要：
旋转调制器（RM）是通过调制和检测入射光子来间接成像物体场景的一类技术之一。RM与更常见的成像技术，旋转调制准直器和编码孔径的比较，揭示了仪器重量和复杂性，灵敏度，角分辨率和图像保真度的权衡。在高能量（数百千电子伏至兆电子伏），宽视场，卫星或气球载天体物理调查任务的情况下，RM被证明是一个有吸引力的选择时，再加上重建算法，可以同时实现超分辨率和抑制波动所产生的统计噪声。我们描述的噪声补偿代数重建（NCAR）算法，这是表现得比传统的去卷积技术，大多数对象场景分布。从蒙特卡罗模拟的结果表明，NCAR实现超分辨率，可以解决多个点源和复杂的分布，并表现为模糊旁瓣的真实源位置的噪声，而不是虚假的峰值在图像中的其他地方看到与其他技术。
英文摘要：
A Rotating Modulator (RM) is one of a class of techniques for indirect imaging of an object scene by modulation and detection of incident photons. Comparison of the RM to more common imaging techniques, the Rotating Modulation Collimator and the coded aperture, reveals trade-offs in instrument weight and complexity, sensitivity, angular resolution, and image fidelity. In the case of a high-energy (hundreds of keV to MeV), wide field-of-view, satellite or balloon-borne astrophysical survey mission, the RM is shown to be an attractive option when coupled with a reconstruction algorithm that can simultaneously achieve super-resolution and suppress fluctuations arising from statistical noise. We describe the Noise-Compensating Algebraic Reconstruction (NCAR) algorithm, which is shown to perform better than traditional deconvolution techniques for most object scene distributions. Results from Monte Carlo simulations demonstrate that NCAR achieves super-resolution, can resolve multiple point sources and complex distributions, and manifests noise as fuzzy sidelobes about the true source location, rather than spurious peaks elsewhere in the image as seen with other techniques.
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