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Pulse decomposition-based analysis of PAT/TAT error caused by negative lobes in limited-view conditions

机译:基于脉冲分解的有限视角条件下负瓣引起的PAT / TAT错误分析

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Pulse decomposition has been proven to be efficient to analyze the complicated signals and it is introduced into the photoacoustic and thermoacoustic tomography to eliminate reconstruction distortions caused by negative lobes. During image reconstruction, negative lobes bring errors in the estimation of acoustic pulse amplitude, which is closely related to the distribution of absorption coefficient. The negative lobe error degrades imaging quality seriously in limited-view conditions because it cannot be offset so well as in full-view conditions. Therefore, a pulse decomposition formula is provided with detailed deduction to eliminate the negative lobe error and is incorporated into the popular delay-and-sum method for better reconstructing the image without additional complicated computation. Numerical experiments show that the pulse decomposition improves the image quality obviously in the limited-view conditions, such as separating adjacent absorbers, discovering a small absorber despite disturbance from a big absorber nearby, etc.
机译:脉冲分解已被证明可有效分析复杂信号,并将其引入光声和热声层析成像中,以消除由负波瓣引起的重建失真。在图像重建期间,负波瓣在声脉冲幅度的估计中带来误差,这与吸收系数的分布密切相关。负波瓣误差在有限视角条件下会严重降低成像质量,因为它无法像在全视角条件下一样好地被抵消。因此,提供了具有详细推论的脉冲分解公式,以消除负波瓣误差,并且将其分解为流行的“延迟与和”方法,以更好地重建图像,而无需进行额外的复杂计算。数值实验表明,在有限的观察条件下,例如分离相邻的吸收体,尽管附近有较大的吸收体受到干扰,发现了一个较小的吸收体,脉冲分解仍能明显改善图像质量。

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