基于扩散概率模型的伪mri引导PET图像重建方法

IF 4.6 Q1 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING
Weijie Gan;Huidong Xie;Carl von Gall;Günther Platsch;Michael T. Jurkiewicz;Andrea Andrade;Udunna C. Anazodo;Ulugbek S. Kamilov;Hongyu An;Jorge Cabello
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引用次数: 0

摘要

解剖引导正电子发射断层扫描(PET)重建利用磁共振成像(MRI)信息已被证明有潜力提高PET图像质量。然而,这些改进仅限于PET扫描与配对MRI信息。在这项工作中,我们采用扩散概率模型(DPM)从FDG-PET脑图像推断t1加权mri (deep-MRI)图像。然后我们使用dpm生成的T1w-MRI来指导PET重建。该模型通过大脑FDG扫描进行训练,并在包含多个计数水平的数据集中进行测试。与获得的MRI图像相比,深度MRI图像出现了一定程度的退化,在某些情况下显示不准确。在PET图像质量方面,不同脑区的兴趣体积分析表明,与有序子集期望最大值(OSEM)相比,使用获取的PET图像和深度mri图像重建的PET图像都提高了图像质量。同样的结论也在分析被删减的数据集时被发现。由两位医生进行的主观评估证实,OSEM评分始终低于mri引导的PET图像,并且在mri引导的PET图像之间没有观察到显着差异。这一概念证明表明,可以推断基于dpm的MRI图像来指导PET重建,从而有可能改变重建参数,例如在没有MRI的情况下,解剖引导的PET重建的先验强度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Pseudo-MRI-Guided PET Image Reconstruction Method Based on a Diffusion Probabilistic Model
Anatomically guided positron emission tomography (PET) reconstruction using magnetic resonance imaging (MRI) information has been shown to have the potential to improve PET image quality. However, these improvements are limited to PET scans with paired MRI information. In this work, we employed a diffusion probabilistic model (DPM) to infer T1-weighted-MRI (deep-MRI) images from FDG-PET brain images. We then use the DPM-generated T1w-MRI to guide the PET reconstruction. The model was trained with brain FDG scans, and tested in datasets containing multiple levels of counts. Deep-MRI images appeared somewhat degraded and in some cases showed inaccuracies compared to the acquired MRI images. Regarding PET image quality, volume of interest analysis in different brain regions showed that both PET reconstructed images using the acquired and the deep-MRI images improved image quality compared to ordered subset expected maximum (OSEM). Same conclusions were found analysing the decimated datasets. A subjective evaluation performed by two physicians confirmed that OSEM scored consistently worse than the MRI-guided PET images and no significant differences were observed between the MRI-guided PET images. This proof of concept shows that it is possible to infer DPM-based MRI imagery to guide the PET reconstruction, enabling the possibility of changing reconstruction parameters, such as the strength of the prior on anatomically guided PET reconstruction in the absence of MRI.
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来源期刊
IEEE Transactions on Radiation and Plasma Medical Sciences
IEEE Transactions on Radiation and Plasma Medical Sciences RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING-
CiteScore
8.00
自引率
18.20%
发文量
109
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