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Adaptive correction of scatter and random events for 3D backprojected PET data

机译:3D背面宠物数据的散射和随机事件的自适应校正

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Backprojected images offer compact and accurate storage of 3D PET data, and so are potentially very suited to high resolution 3D PET scanners when carrying out fast dynamic scans. However, there are very few methods available for correcting backprojected images for the effects of scatter and random events. Scatter correction methods usually involve experimental measurement of scatter response functions or accurate simulations, and are thus limited by the accuracy of the model used. In contrast, the approach proposed here uniquely adapts a general form of a combined scatter and randoms response function. This method inherently does not rely upon accurate determination of the scatter and randoms response functions, but does however rely upon knowledge of the attenuating object's outline. The technique is able to adapt to different imaging situations, account for detector scatter, and in particular is readily implemented in backprojection space. The method has been implemented for a small volume HIDAC (II) PET scanner.
机译:BackProjeted图像提供紧凑且精确地存储3D PET数据,因此在进行快速动态扫描时可能非常适合高分辨率3D PET扫描仪。但是,有很少的方法可用于校正散射和随机事件的效果的返回后的图像。散射校正方法通常涉及散射响应功能的实验测量或准确的仿真,因此受到所使用的模型的准确性的限制。相反,这里提出的方法唯一地适应组合散射和随机响应函数的一般形式。这种方法本身不依赖于准确确定散射和随机响应函数,但然而,确实依赖于衰减对象的轮廓的知识。该技术能够适应不同的成像情况,用于检测器散射,特别是在反投影空间中容易地实现。该方法已经为小卷HIDAC(II)PET扫描仪实施。

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