Anatomical validation of automatic respiratory motion correction for coronary 18F-sodium fluoride positron emission tomography by expert measurements from four-dimensional computed tomography.
Anatomical validation of automatic respiratory motion correction for coronary 18F-sodium fluoride positron emission tomography by expert measurements from four-dimensional computed tomography.
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DOI：
10.1002/mp.15834
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发表时间：
2022-11
期刊：
影响因子：
3.8
通讯作者：
Slomka, Piotr
中科院分区：
文献类型：
--
作者：
Lassen, Martin Lyngby;Tzolos, Evangelos;Pan, Tinsu;Kwiecinski, Jacek;Cadet, Sebastien;Dey, Damini;Berman, Daniel;Slomka, Piotr
呼吸运动校正在采用18F-NaF的冠状动脉斑块研究中非常重要;然而，运动校正技术的验证主要依赖于间接测量，例如重测重复性评估。在本研究中，我们的目的是比较并验证FusionQuant应用程序中获得的正电子发射断层扫描（PET）图像直接获得的呼吸运动矢量场与专家观察员在四维电影计算机断层扫描（CT）期间观察到的呼吸运动。通过比较PET中观察到的冠状动脉斑块的呼吸运动与4D电影CT图像中观察到的呼吸运动，研究用于评价18F-NaF PET研究的软件（FusionQuant）中采用的运动校正的准确性。本研究纳入了23名患者，他们使用18F-氟化钠（18F-NaF）进行胸部PET扫描以评估冠状动脉斑块。所有患者均接受了5秒电影CT（4D-CT）、冠状动脉CT血管造影（CTA）和18F-NaF PET。4D-CT和PET扫描重建为10个相位。呼吸运动估计的非造影剂可见的冠状动脉斑块，使用PET和比较呼吸运动上观察到的4D-CT。我们报告的PET运动矢量场获得的三个主轴除了3D运动。使用配对t检验检查统计学差异。报告了单相图像（呼气末相）和运动校正图像系列（采用在双态配准期间提取的运动矢量场）的信噪比（SNR）。在16例患者中，共考虑了19个冠状动脉斑块。在x、y和3D运动场中观察到的最大呼吸运动没有统计学差异（幅度和方向）（X方向：4D CT = 2.5±1.5 mm，PET = 2.4± 3.2 mm; Y方向：4D CT = 2.3± 1.9 mm，PET = 0.7± 2.9 mm，3D运动：4D CT = 6.6±3.1mm，PET = 5.7±2.6mm，所有p≥0.05）。在系统的Z方向上观察到呼吸运动的显著差异：4D CT = 4.9±3.4mm，PET = 2.3 ± 3.2mm，p=0.04。与呼气末相图像相比，运动校正图像的SNR显著改善（呼气末相= 6.8±4.8，运动校正= 12.2±4.5，p=0.001）。通过使用FusionQuant对冠状动脉PET进行自动呼吸运动校正，在4D CT上观察到冠状动脉斑块在两个方向和3D上的呼吸运动相似。呼吸运动校正技术显著改善了图像的SNR。
Respiratory motion correction is of importance in studies of coronary plaques employing 18F-NaF; however, the validation of motion correction techniques mainly relies on indirect measures such as test-retest repeatability assessments. In this study, we aim to compare and, thus, validate the respiratory motion vector fields obtained by the positron emission tomography (PET) images obtained in FusionQuant application directly to the respiratory motion observed during 4-dimensional cine-computed tomography (CT) by an expert observer. To investigate the accuracy of the motion correction employed in a software (FusionQuant) used for evaluation of 18F-NaF PET studies by comparing the respiratory motion of the coronary plaques observed in PET to the respiratory motion observed in 4D cine CT images. This study included twenty-three patients who undertook thoracic PET scans for the assessment of coronary plaques using 18F-Sodium Fluoride (18F-NaF). All patients underwent a 5-second cine-CT (4D-CT), a coronary CT angiography (CTA), and 18F-NaF PET. The 4D-CT and PET scan were reconstructed into 10 phases. Respiratory motion was estimated for the non-contrast visible coronary plaques using diffeomorphic registrations (PET) and compared to respiratory motion observed on 4D-CT. We report the PET motion vector fields obtained in the three principal axes in addition to the 3D motion. Statistical differences were examined using paired t-tests. Signal-to-Noise ratios (SNR) are reported for the single-phase images (end-expiratory phase) and for the motion-corrected image-series (employing the motion vector fields extracted during the diffeomorphic registrations). In total, 19 coronary plaques were considered in 16 patients. No statistical differences were observed for the maximum respiratory motion observed in x, y and the 3D motion fields (magnitude and direction) between the CT and PET (X direction: 4D CT = 2.5±1.5 mm, PET = 2.4±3.2mm; Y direction: 4D CT = 2.3± 1.9mm, PET = 0.7±2.9mm, 3D motion: 4D CT = 6.6±3.1mm, PET = 5.7±2.6mm, all p≥0.05). Significant differences in respiratory motion were observed in the systems’ Z direction: 4D CT = 4.9±3.4mm, PET = 2.3 ± 3.2mm, p=0.04. Significantly improved SNR is reported for the motion corrected images compared to the end-expiratory phase images (End-expiratory phase = 6.8±4.8, motion corrected = 12.2±4.5, p=0.001). Similar respiratory motion was observed in two directions and 3D for coronary plaques on 4D CT as detected by automatic respiratory motion correction of coronary PET using FusionQuant. The respiratory motion correction technique significantly improved the SNR in the images.
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DOI：
10.1016/j.ijrobp.2020.11.014
发表时间：
2021-04-01
期刊：
International journal of radiation oncology, biology, physics
影响因子：
--
作者：
Pan T;Lu Y;Thomas MA;Liao Z;Luo D
通讯作者：
Luo D
影响因子：
3.3
作者：
Munoz, Camila;Neji, Radhouene;Prieto, Claudia
通讯作者：
Prieto, Claudia
影响因子：
4
作者：
Lassen ML;Tzolos E;Massera D;Cadet S;Bing R;Kwiecinski J;Dey D;Berman DS;Dweck MR;Newby DE;Slomka PJ
通讯作者：
Slomka PJ
影响因子：
3.8
作者：
Pan, T;Lee, TY;Chen, GTY
通讯作者：
Chen, GTY
影响因子：
2.4
作者：
Lassen, Martin Lyngby;Beyer, Thomas;Cal-Gonzalez, Jacobo
通讯作者：
Cal-Gonzalez, Jacobo