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Model-based crosstalk compensation for simultaneous 99mTc/123I dual-isotope brain SPECT imaging.

机译:基于模型的串扰补偿,可同时进行99mTc / 123I双同位素脑SPECT成像。

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In this work, we developed a model-based method to estimate and compensate for the crosstalk contamination in simultaneous 123I and 99mTc dual isotope brain single photo emission computed tomography imaging. The model-based crosstalk compensation (MBCC) includes detailed modeling of photon interactions inside both the object and the detector system. In the method, scatter in the object is modeled using the effective source scatter estimation technique, including contributions from all the photon emissions. The effects of the collimator-detector response, including the penetration and scatter components due to high-energy 123I photons, are modeled using precalculated tables of Monte Carlo simulated point-source response functions obtained from sources in air at various distances from the face of the collimator. The model-based crosstalk estimation method was combined with iterative reconstruction based compensation to reduce contamination due to crosstalk. The MBCC method was evaluated using Monte Carlosimulated and physical phantom experimentally acquired simultaneous dual-isotope data. Results showed that, for both experimental and simulation studies, the model-based method provided crosstalk estimates that were in good agreement with the true crosstalk. Compensation using MBCC improved image contrast and removed the artifacts for both Monte Carlo simulated and experimentally acquired data. The results were in good agreement with images acquired without any crosstalk contamination.
机译:在这项工作中,我们开发了一种基于模型的方法来估计和补偿同时123I和99mTc双同位素脑单光发射计算机断层扫描成像中的串扰污染。基于模型的串扰补偿(MBCC)包括对象和检测器系统内部光子相互作用的详细建模。在该方法中,使用有效源散射估计技术对对象中的散射进行建模,包括来自所有光子发射的贡献。准直仪-探测器响应的影响,包括由于高能123I光子造成的穿透和散射分量,使用蒙特卡罗模拟点源响应函数的预计算表进行建模,这些函数是从距源头表面不同距离的空气中获得的准直器。基于模型的串扰估计方法与基于迭代重建的补偿相结合,以减少由于串扰引起的污染。 MBCC方法是使用Monte Carlo模拟和物理幻像通过实验获得的同步双同位素数据进行评估的。结果表明,对于实验研究和仿真研究,基于模型的方法提供的串扰估计值都与真实串扰非常吻合。使用MBCC进行的补偿改善了图像对比度,并消除了蒙特卡洛模拟和实验获得的数据的伪影。结果与无串扰污染的图像采集结果吻合良好。

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