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Phantom and clinical evaluation of the effect of full Monte Carlo collimator modelling in post-SIRT yttrium-90 Bremsstrahlung SPECT imaging

机译:SIRT后Yttrium-90 Bremsstrahlung SPECT成像中完整Monte Carlo准直器建模效果的模型及临床评估

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摘要

BackgroundPost-therapy SPECT/CT imaging of 90Y microspheres delivered to hepatic malignancies is difficult, owing to the continuous, high-energy Bremsstrahlung spectrum emitted by 90Y. This study aimed to evaluate the utility of a commercially available software package (HybridRecon, Hermes Medical Solutions AB) which incorporates full Monte Carlo collimator modelling. Analysis of image quality was performed on both phantom and clinical images in order to ultimately provide a recommendation of an optimum reconstruction for post-therapy 90Y microsphere SPECT/CT imaging.A 3D-printed anthropomorphic liver phantom was filled with 90Y with a sphere-to-background ratio of 4:1 and imaged on a GE Discovery 670 SPECT/CT camera. Datasets were reconstructed using ordered-subsets expectation maximization (OSEM) 1–7 iterations in order to identify the optimal OSEM reconstruction (5 iterations, 15 subsets). Quantitative analysis was subsequently carried out on phantom datasets obtained using four reconstruction algorithms: the default OSEM protocol (2 iterations, 10 subsets) and the optimised OSEM protocol, both with and without full Monte Carlo collimator modelling. The quantitative metrics contrast recovery (CR) and background variability (BV) were calculated.The four algorithms were then used to retrospectively reconstruct 10 selective internal radiation therapy (SIRT) patient datasets which were subsequently blind scored for image quality by a consultant radiologist.
机译:背景由于 90 Y发出的连续高能Bre致辐射光谱,难以对递送到肝恶性肿瘤的 90 Y微球进行SPECT / CT成像。这项研究旨在评估结合完整的蒙特卡洛准直器模型的商业软件包(HybridRecon,Hermes Medical Solutions AB)的实用性。为了对临床后 90 Y微球SPECT / CT成像进行最佳重建,建议对幻影和临床影像均进行图像质量分析。建议使用3D打印的拟人化肝幻影。用 90 Y填充,球与背景之比为4:1,并在GE Discovery 670 SPECT / CT相机上成像。使用有序子集期望最大化(OSEM)1–7次迭代来重建数据集,以识别最佳的OSEM重建(5次迭代,15个子集)。随后对使用四种重建算法获得的幻象数据集进行了定量分析:默认的OSEM协议(2次迭代,10个子集)和优化的OSEM协议,无论有没有完整的Monte Carlo准直器建模。计算定量指标对比恢复(CR)和背景变异性(BV),然后使用这四种算法回顾性重建10个选择性内部放射治疗(SIRT)患者数据集,随后由顾问放射科医生对图像质量进行盲目评分。

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