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A Novel Square-hole Based Coded Aperture Imaging Method

机译:一种新颖的基于方孔的编码孔径成像方法

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Coded Aperture Imaging (CAI) plays a high performance in remote radiation measurement, an imaging method using high-energy radiation with a spectrum raging from x ray to γ ray has found many applications, including high-energy astronomy and environment monitoring. The kernel of CAI is the coded mask (encoding array) with the relevant decoding array which are usually designed jointly to reconstruct a perfect or near-perfect original image. In this paper, we've developed a novel square-hole based CAI system which is predicted to have good properties and sensitivity. The coded aperture (CA) is designed to be a (4N+1)×(4N+1) area mask with a (2N+1)×(2N+1) area square hole transparent for gamma-ray(N is a natural number, implying the size of coding scale). In this method, a decoding function is structured to ensure the point spread function being a δ function. Unlike conventional pinhole imaging, by sampling the projection of a large square hole as a coded arrays, a high resolution imaging can be reconstructed, meanwhile a highly detection efficiency is obtained. Compared to the widely used Modified Uniformly Redundant Array (MURA) coding pattern, the square-hole has its remarkable characteristics. The square-hole is more alterable meaning that the coding numbers of a certain square-hole mask is decided by the sampling precision of detector, thus providing the user with a wider selection of coded aperture patterns to match his particular needs.
机译:编码的孔径成像(CAI)在远程辐射测量中起高性能,使用高能辐射的成像方法具有从X射线到γ射线的光谱响起的,发现了许多应用,包括高能量天文和环境监测。 CAI的内核是具有相关解码阵列的编码掩码(编码阵列),其通常是联合设计的,以重建完美或近乎完美的原始图像。在本文中,我们开发了一种新颖的基于方孔的CAI系统,预测具有良好的性能和灵敏度。编码孔径(CA)设计为(4n + 1)×(4n + 1)区域掩模,其具有(2n + 1)×(2n + 1)面积平方孔对于伽马射线透明(n是自然的数字,暗示编码比例的大小)。在该方法中,构造解码功能以确保点扩展功能是δ函数。与传统的针孔成像不同,通过将大方孔的投影作为编码阵列进行采样,可以重建高分辨率成像,同时获得高度检测效率。与广泛使用的改进的均匀冗余阵列(Mura)编码图案相比,方孔具有其显着特性。方孔是更可变的意义,意味着某个方孔掩模的编码数由检测器的采样精度决定,从而为用户提供更广泛的编码孔径图案以匹配他的特定需求。

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