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
相关论文
共 50 条
  • [1] Clinical Impact of Respiratory Motion Correction in Simultaneous PET/MR, Using a Joint PET/MR Predictive Motion Model
    Manber, Richard
    Thielemans, Kris
    Hutton, Brian F.
    Wan, Simon
    Fraioli, Francesco
    Barnes, Anna
    Ourselin, Sebastien
    Arridge, Simon
    Atkinson, David
    JOURNAL OF NUCLEAR MEDICINE, 2018, 59 (09) : 1467 - 1473
  • [2] Cardiac and Respiratory Motion Correction for Simultaneous Cardiac PET/MR
    Kolbitsch, Christoph
    Ahlman, Mark A.
    Davies-Venn, Cynthia
    Evers, Robert
    Hansen, Michael
    Peressutti, Devis
    Marsden, Paul
    Kellman, Peter
    Bluemke, David A.
    Schaeffter, Tobias
    JOURNAL OF NUCLEAR MEDICINE, 2017, 58 (05) : 846 - 852
  • [3] Practical PET Respiratory Motion Correction in Clinical PET/MR
    Manber, Richard
    Thielemans, Kris
    Hutton, Brian F.
    Barnes, Anna
    Ourselin, Sebastien
    Arridge, Simon
    O'Meara, Celia
    Wan, Simon
    Atkinson, David
    JOURNAL OF NUCLEAR MEDICINE, 2015, 56 (06) : 890 - 896
  • [4] Reconstruction-Incorporated Respiratory Motion Correction in Clinical Simultaneous PET/MR Imaging for Oncology Applications
    Fayad, Hadi
    Schmidt, Holger
    Wuerslin, Christian
    Visvikis, Dimitris
    JOURNAL OF NUCLEAR MEDICINE, 2015, 56 (06) : 884 - 889
  • [5] Joint PET-MR respiratory motion models for clinical PET motion correction
    Manber, Richard
    Thielemans, Kris
    Hutton, Brian F.
    Wan, Simon
    McClelland, Jamie
    Barnes, Anna
    Arridge, Simon
    Ourselin, Sebastien
    Atkinson, David
    PHYSICS IN MEDICINE AND BIOLOGY, 2016, 61 (17) : 6515 - 6530
  • [6] Respiratory Motion Correction in Oncologic PET Using T1-Weighted MR Imaging on a Simultaneous Whole-Body PET/MR System
    Wuerslin, Christian
    Schmidt, Holger
    Martirosian, Petros
    Brendle, Cornelia
    Boss, Andreas
    Schwenzer, Nina F.
    Stegger, Lars
    JOURNAL OF NUCLEAR MEDICINE, 2013, 54 (03) : 464 - 471
  • [7] The use of a generalized reconstruction by inversion of coupled systems (GRICS) approach for generic respiratory motion correction in PET/MR imaging
    Fayad, Hadi
    Odille, Freddy
    Schmidt, Holger
    Wuerslin, Christian
    Kuestner, Thomas
    Felblinger, Jacques
    Visvikis, Dimitris
    PHYSICS IN MEDICINE AND BIOLOGY, 2015, 60 (06) : 2529 - 2546
  • [8] Respiratory motion correction of PET using MR-constrained PET-PET registration
    Balfour, Daniel R.
    Marsden, Paul K.
    Polycarpou, Irene
    Kolbitsch, Christoph
    King, Andrew P.
    BIOMEDICAL ENGINEERING ONLINE, 2015, 14
  • [9] Impact of Time-of-Flight PET on Quantification Errors in MR Imaging-Based Attenuation Correction
    Mehranian, Abolfazl
    Zaidi, Habib
    JOURNAL OF NUCLEAR MEDICINE, 2015, 56 (04) : 635 - 641
  • [10] Impact of improved attenuation correction featuring a bone atlas and truncation correction on PET quantification in whole-body PET/MR
    Oehmigen, Mark
    Lindemann, Maike E.
    Gratz, Marcel
    Kirchner, Julian
    Ruhlmann, Verena
    Umutlu, Lale
    Blumhagen, Jan Ole
    Fenchel, Matthias
    Quick, Harald H.
    EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING, 2018, 45 (04) : 642 - 653