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心脏 PET 定量和区域性异质性的部分容积校正分析。

Analysis of partial volume correction on quantification and regional heterogeneity in cardiac PET.

机构信息

Department of Imaging and Pathology, Nuclear Medicine and Molecular imaging, Medical Imaging Research Center (MIRC), KU Leuven - University of Leuven, B-3000, Leuven, Belgium.

Department of Cardiovascular Sciences, Cardiology, Medical Imaging Research Center (MIRC), KU Leuven - University of Leuven, B-3000, Leuven, Belgium.

出版信息

J Nucl Cardiol. 2020 Feb;27(1):62-70. doi: 10.1007/s12350-016-0773-z. Epub 2017 Feb 23.

DOI:10.1007/s12350-016-0773-z
PMID:28233192
Abstract

BACKGROUND

The partial volume correction (PVC) of cardiac PET datasets using anatomical side information during reconstruction is appealing but not straightforward. Other techniques, which do not make use of additional anatomical information, could be equally effective in improving the reconstructed myocardial activity.

METHODS

Resolution modeling in combination with different noise suppressing priors was evaluated as a means to perform PVC. Anatomical priors based on a high-resolution CT are compared to non-anatomical, edge-preserving priors (relative difference and total variation prior). The study is conducted on ex vivo datasets from ovine hearts. A simulation study additionally clarifies the relationship between prior effectiveness and myocardial wall thickness.

RESULTS

Simple resolution modeling during data reconstruction resulted in over- and underestimation of activity, which hampers the absolute left ventricular quantification when compared to the ground truth. Both the edge-preserving and the anatomy-based PVC techniques improve the absolute quantification, with comparable results (Student t-test, P = .17). The relative tracer distribution was preserved with any reconstruction technique (repeated ANOVA, P = .98).

CONCLUSIONS

The use of edge-preserving priors emerged as optimal choice for quantification of tracer uptake in the left ventricular wall of the available datasets. Anatomical priors visually outperformed edge-preserving priors when the thinnest structures were of interest.

摘要

背景

在重建过程中使用解剖学侧信息对心脏 PET 数据集进行部分容积校正(PVC)很有吸引力,但并不简单。其他不利用额外解剖信息的技术同样可以有效地改善重建的心肌活性。

方法

将分辨率建模与不同的降噪先验结合起来,评估其作为执行 PVC 的一种方法。基于高分辨率 CT 的解剖先验与非解剖的、保持边缘的先验(相对差异和全变差先验)进行比较。该研究在绵羊心脏的离体数据集上进行。一项模拟研究还阐明了先验有效性与心肌壁厚度之间的关系。

结果

在数据重建过程中简单的分辨率建模会导致活性的高估和低估,与真实值相比,这会阻碍绝对左心室定量。边缘保持和基于解剖的 PVC 技术都能改善绝对定量,结果相当(学生 t 检验,P =.17)。任何重建技术都能保留相对示踪剂分布(重复方差分析,P =.98)。

结论

在可用数据集的左心室壁示踪剂摄取定量中,边缘保持先验的使用是最佳选择。当最薄的结构是关注的对象时,解剖先验在视觉上优于边缘保持先验。

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本文引用的文献

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Lesion quantification and detection in myocardial (18)F-FDG PET using edge-preserving priors and anatomical information from CT and MRI: a simulation study.基于 CT 和 MRI 提供的边缘保持先验和解剖学信息,对心肌(18)F-FDG PET 中的病灶进行定量和检测:一项模拟研究。
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Unconstrained image reconstruction with resolution modelling does not have a unique solution.带有分辨率建模的无约束图像重建没有唯一解。
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针锋相对。分辨率建模增强了正电子发射断层显像(PET)成像。
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