Super-resolution reconstruction of <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:mstyle><mml:mstyle><mml:mi>γ</mml:mi></mml:mstyle></mml:mstyle></mml:math>-ray CT images for PET-enabled dual-energy CT imaging.
Super-resolution reconstruction of <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:mstyle><mml:mstyle><mml:mi>γ</mml:mi></mml:mstyle></mml:mstyle></mml:math>-ray CT images for PET-enabled dual-energy CT imaging.
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<mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:mstyle><mml:mstyle><mml:mi>γ</mml 的超分辨率重建
DOI：
10.1117/12.2654431
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发表时间：
2024
期刊：
影响因子：
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通讯作者：
Wang,Guobao
中科院分区：
文献类型：
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作者：
Zhu,Yansong;Spencer,BenjaminA;Xie,Zhaoheng;Leung,EdwinK;Bayerlein,Reimund;Omidvari,Negar;Cherry,SimonR;Qi,Jinyi;Badawi,RamseyD;Wang,Guobao
双能量计算机断层扫描（DECT）能够对组织进行材料分解，并为PET/CT成像提供额外信息，从而可能改善疾病的表征。PET启用的DECT（PDECT）允许使用传统PET/CT扫描仪同时生成PET和DECT图像，而无需第二次X射线CT扫描。在PDECT中，从飞行时间（TOF）PET数据获得511 keV的高能γ射线CT（GCT）图像，并将其与现有的X射线CT图像组合以形成DECT成像。我们已经开发了一种基于核的最大似然衰减和活动（MLAA）的方法，使用X射线CT图像作为先验信息的噪声抑制。然而，我们以前的研究集中在GCT图像重建的PET图像分辨率，这是粗糙的图像分辨率的X射线CT。在这项工作中，我们探讨了在相应的CT分辨率下生成超分辨率GCT图像的可行性。本研究使用uEXPLORER全身PET/CT系统采集的体模和患者扫描进行。采用标准MLAA和核MLAA方法重建PET分辨率（像素大小为4.0 mm × 4.0 mm）和CT分辨率（像素大小为1.2 mm × 1.2 mm）的GCT图像。结果表明，在CT分辨率下的GCT图像具有更清晰的边缘，并揭示了更多的结构细节相比，在PET分辨率下重建的图像。此外，从内核MLAA方法的图像显示出显着改善的图像质量相比，与标准的MLAA方法获得的。
Dual-energy computed tomography (DECT) enables material decomposition for tissues and produces additional information for PET/CT imaging to potentially improve the characterization of diseases. PET-enabled DECT (PDECT) allows the generation of PET and DECT images simultaneously with a conventional PET/CT scanner without the need for a second x-ray CT scan. In PDECT, high-energy γ-ray CT (GCT) images at 511 keV are obtained from time-of-flight (TOF) PET data and are combined with the existing x-ray CT images to form DECT imaging. We have developed a kernel-based maximum-likelihood attenuation and activity (MLAA) method that uses x-ray CT images as a priori information for noise suppression. However, our previous studies focused on GCT image reconstruction at the PET image resolution which is coarser than the image resolution of the x-ray CT. In this work, we explored the feasibility of generating super-resolution GCT images at the corresponding CT resolution. The study was conducted using both phantom and patient scans acquired with the uEXPLORER total-body PET/CT system. GCT images at the PET resolution with a pixel size of 4.0 mm × 4.0 mm and at the CT resolution with a pixel size of 1.2 mm × 1.2 mm were reconstructed using both the standard MLAA and kernel MLAA methods. The results indicated that the GCT images at the CT resolution had sharper edges and revealed more structural details compared to the images reconstructed at the PET resolution. Furthermore, images from the kernel MLAA method showed substantially improved image quality compared to those obtained with the standard MLAA method.