First clinical investigation of. a 4D maximum likelihood reconstruction for 4D PET-based treatment verification in ion beam therapy

First clinical investigation of. a 4D maximum likelihood reconstruction for 4D PET-based treatment verification in ion beam therapy
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DOI:
10.1016/j.radonc.2017.04.018
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发表时间:
2017-06-01
影响因子:
5.7
通讯作者:
Parodi, Katia
Parodi, Katia
中科院分区:
医学1区
文献类型:
--
作者:
Gianoli, Chiara;De Bernardi, Elisabetta;Parodi, Katia

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背景和目的:在离子束治疗(PT-PET)中基于正电子发射断层扫描(PET)的治疗验证的临床应用中,测量PET和预期PET之间的不一致性的检测和解释主要受到测量PET噪声(由于低计数统计)和预期PET偏差(特别是由于离线实现中的不准确洗脱建模)的限制。在这项工作中,最近提出的4D最大似然(ML)重建算法,认为测量PET和预期PET作为4D数据集的两个不同的运动阶段进行评估后,碳离子治疗临床4D PET-CT数据集。材料和方法:4D ML重建算法估计:(1)由于利用了预期PET,相对于传统的测量PET,测量PET具有增强的图像质量:(2)变形场将预期PET映射到测量PET上,作为发生位移的度量。结果证明了对由于呼吸运动和/或设置修改引起的不一致性的期望灵敏度,在不同的计数统计场景中对噪声的鲁棒性,但对预期PET洗脱不准确性的敏感性有限。结论:4D ML重建算法支持离子束治疗中的临床4D PT-PET。可以检测并潜在地克服对洗脱不准确性的有限灵敏度。(C)2017 Elsevier B. V.版权所有。
Background and purpose: In clinical applications of Positron Emission Tomography (PET)-based treatment verification in ion beam therapy (PT-PET), detection and interpretation of inconsistencies between Measured PET and Expected PET are mostly limited by Measured PET noise, due to low count statistics, and by Expected PET bias, especially due to inaccurate washout modelling in off-line implementations. In this work, a recently proposed 4D Maximum Likelihood (ML) reconstruction algorithm which considers Measured PET and Expected PET as two different motion phases of a 4D dataset is assessed on clinical 4D PET-CT datasets acquired after carbon ion therapy.Material and methods: The 4D ML reconstruction algorithm estimates: (1) Measured PET of enhanced image quality with respect to the conventional Measured PET, thanks to the exploitation of Expected PET: (2) the deformation field mapping the Expected PET onto the Measured PET as a measure of the occurred displacements.Results: Results demonstrate the desired sensitivity to, inconsistencies due to breathing motion and/or setup modification, robustness to noise in different count statistics scenarios, but a limited sensitivity to Expected PET washout inaccuracy.Conclusions: The 4D ML reconstruction algorithm supports clinical 4D PT-PET in ion beam therapy. The limited sensitivity to washout inaccuracy can be detected and potentially overcome. (C) 2017 Elsevier B.V. All rights reserved.