Partial volume correction for Lu-177-PSMA SPECT.

IF 3 2区 医学 Q2 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING EJNMMI Physics Pub Date : 2024-11-12 DOI:10.1186/s40658-024-00697-1
Yibin Liu, Zhonglin Lu, Gefei Chen, Kuangyu Shi, Greta S P Mok
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引用次数: 0

Abstract

Background: The limited spatial resolution in SPECT images leads to partial volume effect (PVE), degrading the subsequent dosimetric accuracy. We aim to quantitatively evaluate PVE and partial volume corrections (PVC), i.e., recovery coefficient (RC)-PVC (RC-PVC), reblurred Van-Cittert (RVC) and iterative Yang (IY), in 177Lu-PSMA-617 SPECT images.

Methods: We employed a geometrical cylindrical phantom containing five spheres (diameters ranging from 20 to 40 mm) and 40 XCAT phantoms with various anatomical variations and activity distributions. SIMIND Monte Carlo code was used to generate realistic noisy projections. In the clinical study, sequential quantitative SPECT/CT imaging at 4 time-points post 177Lu-PSMA-617 injections were analyzed for 10 patients. Iterative statistical reconstruction methods were used for reconstruction with attenuation, scatter and geometrical collimator detector response corrections, followed by post-filters. The RC-curves were fit based on the geometrical phantom study and applied for XCAT phantom and clinical study in RC-PVC. Matched and 0.5-2.0 voxels (2.54-10.16 mm) mismatched sphere masks were deployed in IY. The coefficient of variation (CoV) was measured on a uniform background on the geometrical phantom. RCs of spheres and mean absolute activity error (MAE) of kidneys and tumors were evaluated in simulation data, while the activity difference was evaluated in clinical data before and after PVC.

Results: In the simulation study, the spheres experienced significant PVE, i.e., 0.26 RC and 0.70 RC for the 20 mm and 40 mm spheres, respectively. RVC and IY improved the RC of the 20 mm sphere to 0.37 and 0.75 and RC of the 40 mm sphere to 0.96 and 1.04. Mismatch in mask increased the activity error for all spheres in IY. RVC increased noise and caused Gibbs ringing artifacts. For XCAT phantoms, both RVC and IY performed comparably and were superior to RC-PVC in reducing the MAE of the kidneys. However, IY and RC-PVC outperformed RVC for tumors. The XCAT phantom study and clinical study showed a similar trend in the kidney and tumor activity differences between non-PVC and PVC.

Conclusions: PVE greatly impacts activity quantification, especially for small objects. All PVC methods improve the quantification accuracy in 177Lu-PSMA SPECT.

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Lu-177-PSMA SPECT 的部分体积校正。
背景:SPECT 图像的空间分辨率有限,会导致部分容积效应(PVE),从而降低后续剂量测定的准确性。我们的目的是定量评估 177Lu-PSMA-617 SPECT 图像中的 PVE 和部分容积校正(PVC),即恢复系数(RC)-PVC(RC-PVC)、重模糊 Van-Cittert(RVC)和迭代杨(IY):我们使用了一个包含五个球体(直径从 20 毫米到 40 毫米不等)的几何圆柱模型和 40 个具有不同解剖变化和活动分布的 XCAT 模型。SIMIND 蒙特卡洛代码用于生成真实的噪声投影。在临床研究中,对 10 名患者注射 177Lu-PSMA-617 后 4 个时间点的连续定量 SPECT/CT 成像进行了分析。采用迭代统计重建方法进行重建,并对衰减、散射和几何准直探测器响应进行校正,然后进行后滤波。根据几何模型研究拟合出 RC 曲线,并应用于 XCAT 模型和 RC-PVC 临床研究。在 IY 中部署了匹配和 0.5-2.0 体素(2.54-10.16 毫米)不匹配球形掩膜。在几何模型的均匀背景上测量了变异系数(CoV)。在模拟数据中评估了球体的 RC 以及肾脏和肿瘤的平均绝对活动误差(MAE),而在 PVC 前后的临床数据中评估了活动差异:结果:在模拟研究中,球体出现了明显的 PVE,即 20 毫米和 40 毫米球体的 RC 分别为 0.26 和 0.70。RVC 和 IY 将 20 毫米球体的 RC 提高到 0.37 和 0.75,将 40 毫米球体的 RC 提高到 0.96 和 1.04。光罩的不匹配增加了 IY 中所有球体的活动误差。RVC 增加了噪声并导致吉布斯振铃伪影。对于 XCAT 模型,RVC 和 IY 的性能相当,在降低肾脏 MAE 方面优于 RC-PVC。不过,IY 和 RC-PVC 在肿瘤方面的表现优于 RVC。XCAT 模型研究和临床研究显示,非 PVC 和 PVC 在肾脏和肿瘤活性差异方面的趋势相似:结论:PVE 对活动度的量化影响很大,尤其是对小物体。所有 PVC 方法都能提高 177Lu-PSMA SPECT 的量化准确性。
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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