论著摘要 |【多模态】图像重建设置对18F-FDG PET放射特征的影响:多扫描仪幻影和患者研究(双语版)

2017-08-17 14:14:19 admin 11

The impact of image reconstruction settings on 18F-FDG PET radiomic features: multi-scannerphantom and patient studies.

发表日期:2017.3.31    来源:Eur Radiol

作者:Shiri I1Rahmim A2,3Ghaffarian P4,5Geramifar P6Abdollahi H7Bitarafan-Rajabi A8,9.

作者介绍

    1.Department of Medical Physics, School of Medicine, Iran University of Medical Sciences, Junction of Shahid Hemmat and Shahid Chamran Expressways, Tehran, Iran.

    2.Department of Radiology, Johns Hopkins University, Baltimore, MD, 21287, USA.

    3.Department of Electrical and Computer Engineering, Johns Hopkins University, Baltimore, MD, 21218, USA.

    4.Chronic Respiratory Diseases Research Center, National Research Institute of Tuberculosis and Lung Diseases (NRITLD), Shahid Beheshti University of Medical Sciences, Tehran, Iran.

    5.ET/CT and Cyclotron Center, Masih Daneshvari Hospital, Shahid Beheshti University of Medical Sciences, Tehran, Iran.

    6.Research Center for Nuclear Medicine, Shariati Hospital, Tehran University of Medical Sciences, Tehran, Iran.

    7.Department of Medical Physics, School of Medicine, Iran University of Medical Sciences, Junction of Shahid Hemmat and Shahid Chamran Expressways, Tehran, Iran. 

    8.Department of Medical Physics, School of Medicine, Iran University of Medical Sciences, Junction of Shahid Hemmat and Shahid Chamran Expressways, Tehran, Iran. 

    9.Department of Nuclear Medicine, Rajaei Cardiovascular, Medical and Research Center, Iran University of Medical Sciences, Vali-Asr Avenue, Niyayesh Blvd, Tehran, Iran. 

目的

这项研究的目的是调查不同的PET/CT图像放射特征在广泛的不同重建设置的鲁棒性。

The purpose of this study was to investigate the robustness of different PET/CT image radiomic features over a wide range of different reconstruction settings.

方法

用两台PET/CT扫描仪对幻影和患者进行研究。研究了不同重建算法和参数,包括子迭代次数,子集数,半高全宽(FWHM),高斯滤波,每床的扫描时间和矩阵大小。描绘了病变,并提取了一百个放射特征。 并将所有的放射特征根据变异系数(COV)进行分类。

Phantom and patient studies were conducted, including two PET/CT scanners. Different reconstruction algorithms and parameters including number of sub-iterations, number of subsets, full width at half maximum (FWHM) of Gaussian filter, scan time per bed position and matrix size were studied. Lesions were delineated and one hundred radiomic features were extracted. All radiomics featureswere categorized based on coefficient of variation (COV).

结果

百分之四十七的特征显示COV5%,其中10%显示COV>20%。基于强度和基于纹理的特征的所有几何,44%和41%分别被发现为鲁棒性。 关于矩阵大小,所有特征的56%和6%分别被发现不稳定(COV> 20%)和鲁棒性(COV5%)。

Forty seven percent features showed COV ≤ 5% and 10% of which showed COV > 20%. All geometry based, 44% and 41% of intensity based and texture based features were found as robust respectively. In regard to matrix size, 56% and 6% of all features were found non-robust (COV > 20%) and robust (COV ≤ 5%) respectively.

结论

PET / CT图像放射性在高级重建设置中的变异性和鲁棒性是特征依赖性的,不同的设置对不同特征有不同的影响。 具有低COV的放射特征可以被认为是多中心研究中可重复的肿瘤定量的良好候选者。

Variability and robustness of PET/CT image radiomics in advanced reconstruction settings is feature-dependent, and different settings have different effects on different features. Radiomic features with low COV can be considered as good candidates for reproducible tumour quantification in multi-center studies.

关键点

PET/CT成像放射学是一种可以定量评估不同肿瘤摄取的方法。•放射特征鲁棒性在不同成像重建设置中是一个非常重要的事情。•PET/CT图像放射学在高级重建设置中的变异性和鲁棒性是特征依赖性的。•明显的放射学特征可被认为是肿瘤定量的良好候选者。

PET/CT image radiomics is a quantitative approach assessing different aspects of tumour uptake. • Radiomic featuresrobustness is an important issue over different image reconstruction settings. • Variability and robustness of PET/CT image radiomics in advanced reconstruction settings is feature-dependent. • Robust radiomic features can be considered as good candidates for tumour quantification.

关键词

PET / CT,定量放射学重建设置鲁棒性

PET/CT; Quantification; Radiomics; Reconstruction settings; Robustness


阅读原文:10.1007/s00330-017-4859-z


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