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A dual modality approach to quantitative quality control in emission tomography

机译:发射层析成像中定量质量控制的双模式方法

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Routine quality control (QC) and optimization of image quality of reconstructed images in single photon emission computed tomography (SPECT) and positron emission tomography (PET) remains a relatively qualitative exercise. With the advent of combined SPECT/CT and PET/CT devices, and accurate post hoc co-registration algorithms, the potential exists to utilize high resolution structural information for QC evaluation in addition to their use for anatomical correlation in clinical studies. The aim of this work was to explore, in principle, the uses of x-ray CT data of QC phantoms used in SPECT and PET to develop more objective assessments of performance of the emission tomographic (ET) devices and reconstructed data. A CT reconstruction of a novel ET QC phantom was segmented into the various compartments it contained. Using software, the voxel values in the different compartments were then altered to correspond to the concentration of the radioactivity in the actual scan of the same phantom on the SPECT system. This produces a high resolution version of a 'perfect' ET scan. Image co-registration techniques were then used to spatially align the synthetic high resolution SPECT scan to the measured SPECT scan. Various parameters can then be objectively derived from the registered data, for example, image contrast, spatial resolution, spatial non-uniformity, etc. In this study, we have used this approach to estimate spatial resolution (full width at half maximum, FWHM) and recovered contrast in reconstructed images of a SPECT phantom. Two independent methods were used to measure spatial resolution, obtaining excellent agreement. In conclusion, the ability to produce high resolution synthetic phantoms in emission tomography QC affords an objective approach to assessing system performance and optimizing protocols which is readily automated and quantifiable.
机译:在单光子发射计算机断层扫描(SPECT)和正电子发射断层扫描(PET)中,常规质量控制(QC)和重建图像的图像质量优化仍然是相对定性的练习。随着SPECT / CT和PET / CT组合设备的出现以及精确的事后共配准算法的出现,除了在临床研究中将其用于解剖学关联外,还存在利用高分辨率结构信息进行QC评估的潜力。这项工作的目的是原则上探索SPECT和PET中使用的QC体模的X射线CT数据的用途,以便对发射断层扫描(ET)装置的性能和重建的数据进行更客观的评估。新型ET QC体模的CT重建被分割成它所包含的各个部分。然后使用软件更改不同隔室中的体素值,以对应于在SPECT系统上对同一体模的实际扫描中的放射性浓度。这将产生“完美” ET扫描的高分辨率版本。然后使用图像共配准技术将合成的高分辨率SPECT扫描与测量的SPECT扫描在空间上对齐。然后可以从注册数据中客观地得出各种参数,例如图像对比度,空间分辨率,空间不均匀性等。在这项研究中,我们使用了这种方法来估计空间分辨率(半高全宽,FWHM)并在SPECT体模的重建图像中恢复了对比度。使用两种独立的方法来测量空间分辨率,获得了很好的一致性。总之,在放射断层扫描QC中产生高分辨率合成体模的能力为评估系统性能和优化协议提供了一种客观的方法,该方法易于自动化和量化。

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