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Near-field artifact reduction in planar coded aperture imaging

机译:平面编码孔径成像中的近场伪像减少

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摘要

Coded apertures for imaging problems are typically based on arrays having perfect cross-correlation properties. These arrays, however, guarantee a perfect point-spread function in far-field applications only. When these arrays are used in the near-field, artifacts arise. We present a mathematical derivation capable of predicting the shape of such artifacts. The theory shows that methods used in the past to compensate for the effects of background nonuniformities in far-field problems are also effective in reducing near-field artifacts. The case study of a nuclear medicine problem is presented to show good agreement of simulation and experimental results with mathematical predictions.
机译:用于成像问题的编码孔径通常基于具有完美互相关特性的阵列。但是,这些阵列只能在远场应用中保证完美的点扩展功能。在近场中使用这些阵列时,会出现伪像。我们提出了一种数学推导,能够推论出这些伪像的形状。该理论表明,过去用于补偿远场问题中背景不均匀性影响的方法在减少近场伪像方面也很有效。提出了核医学问题的案例研究,以显示模拟和实验结果与数学预测的良好一致性。

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