Impact of respiratory motion correction on lesion visibility and quantification in thoracic PET/MR imaging

被引:10
作者
Gratz, Marcel [1 ,2 ]
Ruhlmann, Verena [3 ]
Umutlu, Lale [4 ]
Fenchel, Matthias [5 ]
Hong, Inki [6 ]
Quick, Harald H. [1 ,2 ]
机构
[1] Univ Duisburg Essen, Erwin L Hahn Inst Magnet Resonance Imaging, Essen, Germany
[2] Univ Duisburg Essen, High Field & Hybrid MR Imaging, Essen, Germany
[3] Univ Hosp Essen, Dept Nucl Med, Essen, Germany
[4] Univ Hosp Essen, Dept Diagnost & Intervent Radiol & Neuroradiol, Essen, Germany
[5] Siemens Healthcare GmbH, Erlangen, Germany
[6] Siemens Med Solut Inc, Knoxville, TN USA
来源
PLOS ONE | 2020年 / 15卷 / 06期
关键词
WHOLE-BODY PET/MR; ATTENUATION CORRECTION; MRI; COMPENSATION; EXPERIENCE; CARCINOMA;
D O I
10.1371/journal.pone.0233209
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
The impact of a method for MR-based respiratory motion correction of PET data on lesion visibility and quantification in patients with oncologic findings in the lung was evaluated. Twenty patients with one or more lesions in the lung were included. Hybrid imaging was performed on an integrated PET/MR system using F-18-FDG as radiotracer. The standard thoracic imaging protocol was extended by a free-breathing self-gated acquisition of MR data for motion modelling. PET data was acquired simultaneously in list-mode for 5-10 mins. One experienced radiologist and one experienced nuclear medicine specialist evaluated and compared the post-processed data in consensus regarding lesion visibility (scores 1-4, 4 being best), image noise levels (scores 1-3, 3 being lowest noise), SUVmean and SUVmax. Motion-corrected (MoCo) images were additionally compared with gated images. Non-motion-corrected free-breathing data served as standard of reference in this study. Motion correction generally improved lesion visibility (3.19 +/- 0.63) and noise ratings (2.95 +/- 0.22) compared to uncorrected (2.81 +/- 0.66 and 2.95 +/- 0.22, respectively) or gated PET data (2.47 +/- 0.93 and 1.30 +/- 0.47, respectively). Furthermore, SUVs (mean and max) were compared for all methods to estimate their respective impact on the quantification. Deviations of SUVmax were smallest between the uncorrected and the MoCo lesion data (average increase of 9.1% of MoCo SUVs), while SUVmean agreed best for gated and MoCo reconstructions (MoCo SUVs increased by 1.2%). The studied method for MR-based respiratory motion correction of PET data combines increased lesion sharpness and improved lesion activity quantification with high signal-to-noise ratio in a clinical setting. In particular, the detection of small lesions in moving organs such as the lung and liver may thus be facilitated. These advantages justify the extension of the PET/MR imaging protocol by 5-10 minutes for motion correction.
引用
收藏
页数:16
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