WIN-PDQ:一种基于wiener估计的投影域定量SPECT方法,该方法考虑了区域内摄取异质性。

Zekun Li, Nadia Benabdallah, Daniel L J Thorek, Abhinav K Jha
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引用次数: 0

摘要

单光子发射计算机断层扫描(SPECT)可以量化α -粒子放射药物治疗(α -RPTs)中病变和危险器官的活动摄取。然而,这种量化受到α -RPT SPECT中极低的检测光子计数、复杂的同位素物理和图像退化效应的挑战。因此,优化SPECT系统的策略和区域摄取量化任务的协议设计是非常必要的。客观地执行这种基于任务的优化需要一种可靠的(准确和精确的)区域摄取量化方法。传统的基于重建的定量(RBQ)方法对α -RPT SPECT存在误差。投影域量化方法,直接从SPECT预测中估计区域摄取,已经证明有可能提供可靠的区域摄取估计,但这些方法假设区域内恒定的摄取,这一假设可能不成立。为了解决这些问题,我们提出了一种基于Wiener估计的投影域定量SPECT方法Wiener INtegration Projection-Domain Quantification (WIN-PDQ)。该方法在估计平均吸收量时考虑了感兴趣区域内的异质性。采用三维蒙特卡罗模拟SPECT对具有223Ra摄取和基于块状模型的区域内摄取异质性的拟人模型进行了早期评估。在对不同平均区域吸收和区域内吸收异质性的评估中,WIN-PDQ方法产生了集合无偏估计,并且在标准化根集合均方误差方面显著优于基于重建和先前提出的投影域量化方法。总之,基于这些初步发现,提出的WIN-PDQ方法显示出估计α - rpt平均区域摄取的潜力,并有助于实现SPECT系统和协议设计的客观任务优化。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
WIN-PDQ: A Wiener-estimator-based projection-domain quantitative SPECT method that accounts for intra-regional uptake heterogeneity.

Single photon emission computed tomography (SPECT) can enable the quantification of activity uptake in lesions and at-risk organs in α -particle-emitting radiopharmaceutical therapies ( α -RPTs). However, this quantification is challenged by the extremely low detected photon counts, complicated isotope physics, and the image-degrading effects in α -RPT SPECT. Thus, strategies to optimize the SPECT system and protocol designs for the task of regional uptake quantification are much needed. Objectively performing this task-based optimization requires a reliable (accurate and precise) regional uptake quantification method. Conventional reconstruction-based quantification (RBQ) methods have been observed to be erroneous for α -RPT SPECT. Projection-domain quantification methods, which estimate regional uptake directly from SPECT projections, have demonstrated potential in providing reliable regional uptake estimates, but these methods assume constant uptake within the regions, an assumption that may not hold. To address these challenges, we propose Wiener INtegration Projection-Domain Quantification (WIN-PDQ), a Wiener-estimator-based projection-domain quantitative SPECT method. The method accounts for the heterogeneity within the regions of interest while estimating mean uptake. An early-stage evaluation of the method was conducted using 3D Monte Carlo-simulated SPECT of anthropomorphic phantoms with 223Ra uptake and lumpy-model-based intra-regional uptake heterogeneity. In this evaluation with phantoms of varying mean regional uptake and intra-regional uptake heterogeneity, the WIN-PDQ method yielded ensemble unbiased estimates and significantly outperformed both reconstruction-based and previously proposed projection-domain quantification methods in terms of normalized root ensemble mean squared error. In conclusion, based on these preliminary findings, the proposed WIN-PDQ method is showing potential for estimating mean regional uptake in α -RPTs and towards enabling the objective task-based optimization of SPECT system and protocol designs.

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