Effect of kilovoltage and quality reference mAs on CT-based attenuation correction in 177Lu SPECT/CT imaging: a phantom study

IF 3 2区 医学 Q2 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING
Maikol Salas-Ramirez, Julian Leube, Michael Lassmann, Johannes Tran-Gia
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引用次数: 0

Abstract

CT-based attenuation correction (CT-AC) plays a major role in accurate activity quantification by SPECT/CT imaging. However, the effect of kilovoltage peak (kVp) and quality-reference mAs (QRM) on the attenuation coefficient image (μ-map) and volume CT dose index (CTDIvol) have not yet been systematically evaluated. Therefore, the aim of this study was to fill this gap and investigate the influence of kVp and QRM on CT-AC in 177Lu SPECT/CT imaging. Seventy low-dose CT acquisitions of an Electron Density Phantom (seventeen inserts of nine tissue-equivalent materials) were acquired using various kVp and QRM combinations on a Siemens Symbia Intevo Bold SPECT/CT system. Using manufacturer reconstruction software, 177Lu μ-maps were generated for each CT image, and three low-dose CT related aspects were examined. First, the μ-map-based attenuation values (μmeasured) were compared with theoretical values (μtheoretical). Second, changes in 177Lu activity expected due to changes in the μ-map were calculated using a modified Chang method. Third, the noise in the μ-map was assessed by measuring the coefficient of variation in a volume of interest in the homogeneous section of the Electron Density Phantom. Lastly, two phantoms were designed to simulate attenuation in four tissue-equivalent materials for two different source geometries (1-mL and 10-mL syringes). 177Lu SPECT/CT imaging was performed using three different reconstruction algorithms (xSPECT Quant, Flash3D, STIR), and the SPECT-based activities were compared against the nominal activities in the sources. The largest relative errors between μmeasured and μtheoretical were observed in the lung inhale insert (range: 18%-36%), while it remained below 6% for all other inserts. The resulting changes in 177Lu activity quantification were -3.5% in the lung inhale insert and less than -2.3% in all other inserts. Coefficient of variation and CTDIvol ranged from 0.3% and 3.6 mGy (130 kVp, 35 mAs) to 0.4% and 0.9 mGy (80 kVp, 20 mAs), respectively. The SPECT-based activity quantification using xSPECT Quant reconstructions outperformed all other reconstruction algorithms. This study shows that kVp and QRM values in low-dose CT imaging have a minimum effect on quantitative 177Lu SPECT/CT imaging, while the selection of low values of kVp and QRM reduce the CTDIvol.
千伏电压和质量参考毫安对基于 CT 的 177Lu SPECT/CT 成像衰减校正的影响:一项模型研究
基于 CT 的衰减校正(CT-AC)在 SPECT/CT 成像的精确活动量化中发挥着重要作用。然而,千伏峰值(kVp)和质量参考毫安数(QRM)对衰减系数图像(μ-map)和容积 CT 剂量指数(CTDIvol)的影响尚未得到系统评估。因此,本研究旨在填补这一空白,研究 177Lu SPECT/CT 成像中 kVp 和 QRM 对 CT-AC 的影响。在西门子 Symbia Intevo Bold SPECT/CT 系统上,使用不同的 kVp 和 QRM 组合对电子密度模型(9 种组织等效材料的 17 个插入物)进行了 70 次低剂量 CT 采集。利用制造商生产的重建软件,为每张 CT 图像生成了 177Lu μ 地图,并对与低剂量 CT 相关的三个方面进行了检查。首先,将基于μ图的衰减值(μ测量值)与理论值(μ理论值)进行比较。其次,使用改进的 Chang 方法计算了因μ图变化而导致的 177Lu 活性预期变化。第三,通过测量电子密度模型均质部分相关体积的变异系数,评估了 μ 地图中的噪声。最后,设计了两个模型来模拟两种不同放射源几何形状(1 毫升和 10 毫升注射器)的四种组织等效材料的衰减。使用三种不同的重建算法(xSPECT Quant、Flash3D 和 STIR)进行了 177Lu SPECT/CT 成像,并将基于 SPECT 的放射性活度与放射源中的标称放射性活度进行了比较。肺吸入插入物的μ测量值与μ理论值之间的相对误差最大(范围:18%-36%),而所有其他插入物的误差均低于 6%。由此导致的 177Lu 活性定量变化在肺吸入插入物中为-3.5%,在所有其他插入物中低于-2.3%。变异系数和 CTDIvol 分别从 0.3% 和 3.6 mGy(130 kVp,35 mAs)到 0.4% 和 0.9 mGy(80 kVp,20 mAs)不等。使用xSPECT Quant重建的基于SPECT的活动量化效果优于所有其他重建算法。这项研究表明,低剂量 CT 成像中的 kVp 和 QRM 值对 177Lu SPECT/CT 成像定量的影响最小,而选择较低的 kVp 和 QRM 值则会降低 CTDIvol。
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来源期刊
EJNMMI Physics
EJNMMI Physics Physics and Astronomy-Radiation
CiteScore
6.70
自引率
10.00%
发文量
78
审稿时长
13 weeks
期刊介绍: EJNMMI Physics is an international platform for scientists, users and adopters of nuclear medicine with a particular interest in physics matters. As a companion journal to the European Journal of Nuclear Medicine and Molecular Imaging, this journal has a multi-disciplinary approach and welcomes original materials and studies with a focus on applied physics and mathematics as well as imaging systems engineering and prototyping in nuclear medicine. This includes physics-driven approaches or algorithms supported by physics that foster early clinical adoption of nuclear medicine imaging and therapy.
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