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首页> 外文期刊>Journal of nuclear cardiology: official publication of the American Society of Nuclear Cardiology >Correction for respiration artefacts in myocardial perfusion SPECT is more effective when reconstructions supporting collimator detector response compensation are applied.
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Correction for respiration artefacts in myocardial perfusion SPECT is more effective when reconstructions supporting collimator detector response compensation are applied.

机译:当应用支持准直仪检测器响应补偿的重建方法时,对心肌灌注SPECT中呼吸伪影的校正更为有效。

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PURPOSE: To assess the impact of respiration on myocardial perfusion imaging (MPI) SPECT processed with advanced algorithmic reconstructions. METHODS: SPECT studies obtained from a phantom simulation and 49 respiratory-gated,one-day 99mTc-sestamibi scans were corrected for respiratory-related cardiac movement. Three types of reconstruction algorithms: (a) filtered back projection (FBP), (b) ordered subset expectation maximization in which collimator detector response was incorporated (OSEMCDR), and (c) OSEM-CDR with additional attenuation and scatter corrections (OSEM-CDRACSC) were applied to the corrected and uncorrected sets and analyzed quantitatively and qualitatively. RESULTS: A discrepancy between the corrected and uncorrected bull's eye maps > or = 10% wasfound in 2%, 10%, and 20% of the FBP, OSEM-CDR, and OSEM-CDR-ACSC scans, respectively. In studies with more than 10-mm respiratory motion, the effect of motion was greater in OSEM-CDR and OSEM-CDR-ACSC datasets as compared to FBP processing.Qualitative and quantitative differences between corrected and uncorrected sets were significantly larger in OSEM-CDR and OSEM-CDR-ACSC data than in those of FBP data. CONCLUSIONS: Respiratory-related cardiac motion significantly affects MPI-SPECT reconstructed with advanced high-resolution reconstruction algorithms such as OSEM-CDR and OSEM-CDR-ACSC and thus may justifies the application of respiratory gating.
机译:目的:评估呼吸对采用先进算法重建处理的心肌灌注成像(MPI)SPECT的影响。方法:通过幻像模拟和49次呼吸门控,一日99mTc-西他米比扫描获得的SPECT研究针对与呼吸有关的心脏运动进行了校正。三种重建算法:(a)滤波反投影(FBP),(b)结合了准直仪检测器响应(OSEMCDR)的有序子集期望最大化,以及(c)具有附加衰减和散射校正(OSEM- CDRACSC)应用于校正和未校正的集合,并进行定量和定性分析。结果:分别在2%,10%和20%的FBP,OSEM-CDR和OSEM-CDR-ACSC扫描中发现校正后的和未校正的牛眼图> 10%或10%之间存在差异。在呼吸运动超过10mm的研究中,与FBP处理相比,OSEM-CDR和OSEM-CDR-ACSC数据集中的运动影响更大.OSEM-CDR中校正和未校正组之间的定性和定量差异明显更大和OSEM-CDR-ACSC数据要比FBP数据的数据高。结论:与呼吸有关的心脏运动显着影响通过先进的高分辨率重建算法(例如OSEM-CDR和OSEM-CDR-ACSC)重建的MPI-SPECT,因此可以证明呼吸门控的应用是合理的。

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