Initial evaluation of a Gaussian scatter correction technique

M.S. Rosenthal , L.J. Henry
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引用次数: 4

Abstract

We have performed an initial evaluation of a new scatter correction algorithm, Gaussian Subtraction technique, for correction of SPECT images. This technique was evaluated by Monte Carlo simulations.

The Gaussian Subtraction technique uses a non-scatter (standard 20% energy window) and high energy windows. The window on the high energy side of the non-scattered peak is used to fit a Gaussian to the spectral peak. This technique directly determines the number of unscattered photon events detected by a gamma camera.

We find that this scatter correction technique can correct reasonably well (to within 10–15%) for scatter, for the simple phantom cases used here, using scatter windows < ∼ 20 keV wide, for 99mTc. The Gaussian scatter technique does not require a priori knowledge of source distributions. Implementation of scatter correction would improve image contrast and quantitation in SPECT studies.

高斯散射校正技术的初步评价
我们已经执行了一个新的散点校正算法的初步评估,高斯减法技术,用于校正SPECT图像。通过蒙特卡罗模拟对该技术进行了评价。高斯减法技术使用非散射(标准的20%能量窗口)和高能窗口。利用非散射峰高能侧的窗口对光谱峰进行高斯拟合。这种技术直接决定了伽玛相机检测到的未散射光子事件的数量。我们发现这种散射校正技术可以很好地校正散射(在10-15%以内),对于这里使用的简单幻像情况,使用散射窗<~ 20kev宽,适用于99mTc。高斯散射技术不需要源分布的先验知识。散射校正的实施将提高SPECT研究中的图像对比度和定量。
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