Joint estimation of activity, attenuation and motion in respiratory-self-gated time-of-flight PET.

ArXiv Pub Date : 2024-12-19
Masoud Elhamiasl, Frederic Jolivet, Ahmadreza Rezaei, Michael Fieseler, Klaus Schäfers, Johan Nuyts, Georg Schramm, Fernando Boada
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Abstract

Motivation: Whole-body Positron Emission Tomography (PET) imaging is often hindered by respiratory motion during acquisition, causing significant degradation in the quality of reconstructed activity images. An additional challenge in PET/CT imaging arises from the respiratory phase mismatch between CT-based attenuation correction and PET acquisition, leading to attenuation artifacts. To address these issues, we propose two new, purely data-driven methods for the joint estimation of activity, attenuation, and motion in respiratory self-gated time-of-flight (TOF) PET. These methods enable the reconstruction of a single activity image free from motion and attenuation artifacts.

Methods: The proposed methods were evaluated using data from the anthropomorphic Wilhelm phantom acquired on a Siemens mCT PET/CT system, as well as three clinical [18F]FDG PET/CT datasets acquired on a GE DMI PET/CT system. Image quality was assessed visually to identify motion and attenuation artifacts. Lesion uptake values were quantitatively compared across reconstructions without motion modeling, with motion modeling but "static" attenuation correction, and with our proposed methods.

Results: For the Wilhelm phantom, the proposed methods delivered image quality closely matching the reference reconstruction from a static acquisition. The lesion-to-background contrast for a liver dome lesion improved from 2.0 (no motion correction) to 5.2 (using our proposed methods), matching the contrast from the static acquisition (5.2). In contrast, motion modeling with "static" attenuation correction yielded a lower contrast of 3.5. In patient datasets, the proposed methods successfully reduced motion artifacts in lung and liver lesions and mitigated attenuation artifacts, demonstrating superior lesion to background separation.

Conclusion: Our proposed methods enable the reconstruction of a single, high-quality activity image that is motion-corrected and free from attenuation artifacts, without the need for external hardware.

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呼吸自门控飞行时间PET活性、衰减和运动的联合估计。
动机:全身正电子发射断层扫描(PET)成像在采集过程中经常受到呼吸运动的阻碍,导致重建活动图像的质量显著下降。PET/CT成像的另一个挑战来自于基于CT的衰减校正和PET采集之间的呼吸相位不匹配,从而导致衰减伪影。为了解决这些问题,我们提出了两种新的、纯数据驱动的方法来联合估计呼吸自门控飞行时间(TOF) PET的活动、衰减和运动。这些方法使单个活动图像的重建不受运动和衰减伪影的影响。方法:使用西门子mCT PET/CT系统获得的拟人化威廉幻影数据,以及GE DMI PET/CT系统获得的三个临床[18F]FDG PET/CT数据集,对所提出的方法进行评估。视觉评估图像质量以识别运动和衰减伪影。在没有运动建模的重建、有运动建模但“静态”衰减校正的重建以及我们提出的方法中,定量比较了病灶摄取值。结果:对于Wilhelm幻影,所提出的方法提供的图像质量与静态采集的参考重建非常接近。肝穹窿病变的病灶与背景对比度从2.0(无运动校正)提高到5.2(使用我们提出的方法),与静态采集的对比度(5.2)相匹配。相比之下,采用“静态”衰减校正的运动建模产生的对比度较低,为3.5。在患者数据集中,所提出的方法成功地减少了肺部和肝脏病变的运动伪影,并减轻了衰减伪影,证明病变优于背景分离。结论:我们提出的方法能够重建单一的、高质量的活动图像,该图像经过运动校正,没有衰减伪影,而不需要外部硬件。
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