3D printed non-uniform anthropomorphic phantoms for quantitative SPECT.

IF 3 2区 医学 Q2 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING
Lovisa Jessen, Johan Gustafsson, Michael Ljungberg, Selma Curkic-Kapidzic, Muris Imsirovic, Katarina Sjögreen-Gleisner
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引用次数: 0

Abstract

Background: A 3D printing grid-based method was developed to construct anthropomorphic phantoms with non-uniform activity distributions, to be used for evaluation of quantitative SPECT images. The aims were to characterize the grid-based method and to evaluate its capability to provide realistically shaped phantoms with non-uniform activity distributions.

Methods: Characterization of the grid structures was performed by printing grid-filled spheres. Evaluation was performed by micro-CT imaging to investigate the printing accuracy and by studying the modulation contrast ([Formula: see text]) in SPECT images for 177Lu and 99mTc as a function of the grid fillable-volume fraction (FVF) determined from weighing. The grid-based technique was applied for the construction of two kidney phantoms and two thyroid phantoms, designed using templates from the XCAT digital phantoms. The kidneys were constructed with a hollow outer container shaped as cortex, an inner grid-based structure representing medulla and a solid section representing pelvis. The thyroids consisted of two lobes printed as grid-based structures, with void hot spots within the lobes. The phantoms were filled with solutions of 177Lu (kidneys) or 99mTc (thyroids) and imaged with SPECT. For verification, Monte Carlo simulations of SPECT imaging were performed for activity distributions corresponding to those of the printed phantoms. Measured and simulated SPECT images were compared qualitatively and quantitatively.

Results: Micro-CT images showed that printing inaccuracies were mainly uniform across the grid. The relationships between the FVF from weighing and [Formula: see text] were found to be linear (r = 0.9995 and r = 0.9993 for 177Lu and 99mTc, respectively). The FVF-deviations from the design were up to 15% for thyroids and 4% for kidneys, mainly related to possibilities of cleaning after printing. Measured and simulated SPECT images of kidneys and thyroids exhibited similar activity distributions and quantitative comparisons agreed well, thus verifying the grid-based method.

Conclusions: We find the grid-based technique useful for the provision of 3D printed, realistically shaped, phantoms with non-uniform activity distributions, which can be used for evaluation of different quantitative methods in SPECT imaging.

用于定量 SPECT 的 3D 打印非均匀拟人模型。
背景:我们开发了一种基于三维打印网格的方法来构建具有非均匀活动分布的拟人化模型,用于评估定量 SPECT 图像。目的是确定基于网格的方法的特征,并评估其提供具有非均匀活动分布的逼真形状模型的能力:方法:通过打印充满网格的球体来确定网格结构的特征。方法:通过打印充满网格的球体来确定网格结构的特征,并通过显微 CT 成像来评估打印的准确性,同时研究 177Lu 和 99mTc SPECT 图像中的调制对比度([公式:见正文])与通过称重确定的网格可填充体积分数(FVF)的函数关系。这种基于网格的技术被应用于两个肾脏模型和两个甲状腺模型的构建,这两个模型是利用 XCAT 数字模型的模板设计的。肾脏由一个空心外容器构成,外容器为皮质,内部网格结构代表髓质,实心部分代表肾盂。甲状腺由打印为网格结构的两个叶片组成,叶片内有空洞热点。在模型中填充 177Lu(肾脏)或 99m锝(甲状腺)溶液,并进行 SPECT 成像。为进行验证,对与打印模型相应的活动分布进行了 SPECT 成像蒙特卡罗模拟。对测量和模拟的 SPECT 图像进行了定性和定量比较:显微 CT 图像显示,打印误差主要集中在整个网格上。称重得出的 FVF 与[计算公式:见正文]之间呈线性关系(177Lu 和 99mTc 分别为 r = 0.9995 和 r = 0.9993)。甲状腺和肾脏的 FVF 与设计的偏差分别高达 15%和 4%,这主要与打印后清洗的可能性有关。测量和模拟的肾脏和甲状腺 SPECT 图像显示出相似的放射性分布,定量比较结果一致,从而验证了基于网格的方法:我们发现基于网格的技术有助于提供三维打印、形状逼真、活动分布不均匀的模型,可用于评估 SPECT 成像中的不同定量方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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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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