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A System Calibration and Fast Iterative Reconstruction Method for Next-Generation SPECT Imagers

机译:下一代SPECT成像仪的系统校准和快速迭代重建方法

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摘要

Recently, high-resolution gamma cameras have been developed with detectors containing $> 10^{5}{hbox{–}}10^{6}~$ elements. Single-photon emission computed tomography (SPECT) imagers based on these detectors usually also have a large number of voxel bins and therefore face memory storage issues for the system matrix when performing fast tomographic reconstructions using iterative algorithms. To address these issues, we have developed a method that parameterizes the detector response to a point source and generates the system matrix on the fly during MLEM or OSEM on graphics hardware. The calibration method, interpolation of coefficient data, and reconstruction results are presented in the context of a recently commissioned small-animal SPECT imager, called FastSPECT III.
机译:近来,已经开发出具有包含$> 10 ^ {5} {hbox {–}} 10 ^ {6}〜$个元素的检测器的高分辨率伽马相机。基于这些检测器的单光子发射计算机断层摄影(SPECT)成像器通常还具有大量的体素仓,因此在使用迭代算法执行快速断层摄影重建时会遇到系统矩阵的存储问题。为了解决这些问题,我们开发了一种方法,该方法可将检测器对点源的响应参数化,并在图形硬件上的MLEM或OSEM期间动态生成系统矩阵。在最近调试的小动物SPECT成像仪称为FastSPECT III的背景下,介绍了校准方法,系数数据的插值和重建结果。

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