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在经验性推导的硬件衰减校正中使用静态透射源提高PET/MRI准确性。

Improved PET/MRI accuracy by use of static transmission source in empirically derived hardware attenuation correction.

作者信息

Farag Adam, Thompson R Terry, Thiessen Jonathan D, Prato Frank S, Théberge Jean

机构信息

Lawson Health Research Institute, Imaging Division, London, Ontario, Canada.

Department of Medical Biophysics, Western University, London, Ontario, Canada.

出版信息

EJNMMI Phys. 2021 Mar 8;8(1):24. doi: 10.1186/s40658-021-00368-5.

DOI:10.1186/s40658-021-00368-5
PMID:33683464
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7940463/
Abstract

BACKGROUND

Accurate quantification of radioactivity, measured by an integrated positron emission tomography (PET) and magnetic resonance imaging (MRI) system, is still a challenge. One aspect of such a challenge is to correct for the hardware attenuation, such as the patient table and radio frequency (RF) resonators. For PET/MRI systems, computed tomography (CT) is commonly used to produce hardware attenuation correction (AC) maps, by converting Hounsfield units (HU) to a linear attenuation coefficients (LAC) map at the PET energy level 511 keV, using a bilinear model. The model does not address beam hardening, nor higher density materials, which can lead to inaccurate corrections.

PURPOSE

In this study, we introduce a transmission-based (TX-based) AC technique with a static Germanium-68 (Ge-68) transmission source to generate hardware AC maps using the PET/MRI system itself, without the need for PET or medical CT scanners. The AC TX-based maps were generated for a homogeneous cylinder, made of acrylic as a validator. The technique thereafter was applied to the patient table and posterior part of an RF-phased array used in cardiovascular PET/MRI imaging. The proposed TX-based, and the CT-based, hardware maps were used in reconstructing PET images of one cardiac patient, and the results were analysed and compared.

RESULTS

The LAC derived by the TX-based method for the acrylic cylinder is estimated to be 0.10851 ± 0.00380 cm compared to the 0.10698 ± 0.00321 cm theoretical value reported in the literature. The PET photon counts were reduced by 8.7 ± 1.1% with the patient table, at the region used in cardiac scans, while the CT-based map, used for correction, over-estimated counts by 4.3 ± 1.3%. Reconstructed in vivo images using TX-based AC hardware maps have shown 4.1 ± 0.9% mean difference compared to those reconstructed images using CT-based AC.

CONCLUSIONS

The LAC of the acrylic cylinder measurements using the TX-based technique was in agreement with those in the literature confirming the validity of the technique. The over-estimation of photon counts caused by the CT-based model used for the patient table was improved by the TX-based technique. Therefore, TX-based AC of hardware using the PET/MRI system itself is possible and can produce more accurate images when compared to the CT-based hardware AC in cardiac PET images.

摘要

背景

通过集成正电子发射断层扫描(PET)和磁共振成像(MRI)系统来准确量化放射性仍然是一项挑战。此类挑战的一个方面是校正硬件衰减,例如患者检查床和射频(RF)谐振器。对于PET/MRI系统,计算机断层扫描(CT)通常用于生成硬件衰减校正(AC)图,通过使用双线性模型将亨氏单位(HU)转换为PET能量水平511keV时的线性衰减系数(LAC)图。该模型未考虑束硬化和更高密度的材料,这可能导致校正不准确。

目的

在本研究中,我们引入了一种基于透射(TX)的AC技术,使用静态锗 - 68(Ge - 68)透射源,利用PET/MRI系统自身生成硬件AC图,无需PET或医学CT扫描仪。基于TX生成的AC图是针对由丙烯酸制成的均匀圆柱体生成的,用作验证器。此后,该技术应用于心血管PET/MRI成像中使用的患者检查床和RF相控阵的后部。所提出的基于TX和基于CT的硬件图用于重建一名心脏病患者的PET图像,并对结果进行分析和比较。

结果

基于TX的方法得出的丙烯酸圆柱体的LAC估计为0.10851±0.00380cm,而文献报道的理论值为0.10698±0.00321cm。在心脏扫描所用区域,患者检查床使PET光子计数减少了8.7±1.1%,而用于校正的基于CT的图高估了计数4.3±1.3%。与使用基于CT的AC重建的图像相比,使用基于TX的AC硬件图重建的体内图像平均差异为4.1±0.9%。

结论

使用基于TX的技术对丙烯酸圆柱体测量的LAC与文献中的结果一致,证实了该技术的有效性。基于TX的技术改善了用于患者检查床的基于CT的模型导致的光子计数高估问题。因此,利用PET/MRI系统自身对硬件进行基于TX的AC是可行的,并且与心脏PET图像中基于CT的硬件AC相比,可以产生更准确的图像。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/89f4/7940463/e5efd6316e7c/40658_2021_368_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/89f4/7940463/97f40657420d/40658_2021_368_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/89f4/7940463/4b34fa01c5ea/40658_2021_368_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/89f4/7940463/62a3c80de3e1/40658_2021_368_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/89f4/7940463/f76a01ec6ca4/40658_2021_368_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/89f4/7940463/b5dad6e2f3b7/40658_2021_368_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/89f4/7940463/869e98d64719/40658_2021_368_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/89f4/7940463/e5efd6316e7c/40658_2021_368_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/89f4/7940463/97f40657420d/40658_2021_368_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/89f4/7940463/4b34fa01c5ea/40658_2021_368_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/89f4/7940463/62a3c80de3e1/40658_2021_368_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/89f4/7940463/f76a01ec6ca4/40658_2021_368_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/89f4/7940463/b5dad6e2f3b7/40658_2021_368_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/89f4/7940463/869e98d64719/40658_2021_368_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/89f4/7940463/e5efd6316e7c/40658_2021_368_Fig7_HTML.jpg

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