Effect of respiratory motion on free-breathing 3D stack-of-radial liver R2*relaxometry and improved quantification accuracy using self-gating

被引:25
|
作者
Zhong, Xiaodong [1 ]
Armstrong, Tess [2 ,3 ]
Nickel, Marcel D. [4 ]
Kannengiesser, Stephan Ar [4 ]
Pan, Li [5 ]
Dale, Brian M. [6 ]
Deshpande, Vibhas [7 ]
Kiefer, Berthold [4 ]
Wu, Holden H. [2 ,3 ]
机构
[1] Siemens Healthcare, MR R&D Collaborat, 10945 Le Conte Ave,Suite 3371J, Los Angeles, CA 90095 USA
[2] Univ Calif Los Angeles, David Geffen Sch Med, Dept Radiol Sci, Los Angeles, CA 90095 USA
[3] Univ Calif Los Angeles, David Geffen Sch Med, Phys & Biol Med Interdept Program, Los Angeles, CA 90095 USA
[4] Siemens Healthcare GmbH, MR Applicat Dev, Erlangen, Germany
[5] Siemens Healthcare, MR R&D Collaborat, Baltimore, MD USA
[6] Siemens Healthcare, MR R&D Collaborat, Cary, NC USA
[7] Siemens Healthcare, MR R&D Collaborat, Austin, TX USA
关键词
R-2(*); Dixon; motion compensation; PDFF; respiratory motion; self-gating; HEPATIC FAT; IRON; MRI; WATER;
D O I
10.1002/mrm.28052
中图分类号
R8 [特种医学]; R445 [影像诊断学];
学科分类号
1002 ; 100207 ; 1009 ;
摘要
Purpose To develop an accurate free-breathing 3D liver R2* mapping approach and to evaluate it in vivo. Methods A free-breathing multi-echo stack-of-radial sequence was applied in 5 normal subjects and 6 patients at 3 Tesla. Respiratory motion compensation was implemented using the inherent self-gating signal. A breath-hold Cartesian acquisition was the reference standard. Proton density fat fraction and R2* were measured and compared between radial and Cartesian methods using Bland-Altman plots. The normal subject results were fitted to a linear mixed model (P < .05 considered significant). Results Free-breathing stack-of-radial without self-gating exhibited signal attenuation in echo images and artifactually elevated apparent R2* values. In the Bland-Altman plots of normal subjects, compared to breath-hold Cartesian, free-breathing stack-of-radial acquisitions of 22, 30, 36, and 44 slices, had mean R2* differences of 27.4, 19.4, 10.9, and 14.7 s(-1) with 800 radial views, and they had 18.4, 11.9, 9.7, and 27.7 s(-1) with 404 views, which were reduced to 0.4, 0.9, -0.2, and -0.7 s(-1) and to -1.7, -1.9, -2.1, and 0.5 s(-1) with self-gating, respectively. No substantial proton density fat fraction differences were found. The linear mixed model showed free-breathing radial R2* results without self-gating were significantly biased by 17.2 s(-1) averagely (P = .002), which was eliminated with self-gating (P = .930). Proton density fat fraction results were not different (P > .234). For patients, Bland-Altman plots exhibited mean R2* differences of 14.4 and 0.1 s(-1) for free-breathing stack-of-radial without self-gating and with self-gating, respectively, but no substantial proton density fat fraction differences. Conclusion The proposed self-gating method corrects the respiratory motion bias and enables accurate free-breathing stack-of-radial quantification of liver R2*.
引用
收藏
页码:1964 / 1978
页数:15
相关论文
共 45 条
  • [21] Motion-Compensated Free-Breathing 3D MRI for MR Simulation Using Rotating Stack-Of-Stars Acquisition
    Zhou, Z.
    Han, F.
    Gao, Y.
    Cao, M.
    Steinberg, M.
    Lee, P.
    Raldow, A.
    Low, D.
    Yang, Y.
    Hu, P.
    MEDICAL PHYSICS, 2017, 44 (06) : 3049 - 3049
  • [22] Z intensity-weighted position self-respiratory gating method for free-breathing 3D cardiac CINE imaging
    spincemaille, Pascal
    Liu, Jing
    Thanh Nguyen
    Prince, Martin R.
    Wang, Yi
    MAGNETIC RESONANCE IMAGING, 2011, 29 (06) : 861 - 868
  • [23] Free-Breathing 3D Liver Perfusion Quantification Using a Dual-Input Two-Compartment Model
    Satyam Ghodasara
    Shivani Pahwa
    Sara Dastmalchian
    Vikas Gulani
    Yong Chen
    Scientific Reports, 7
  • [24] Free-Breathing 3D Liver Perfusion Quantification Using a Dual-Input Two-Compartment Model
    Ghodasara, Satyam
    Pahwa, Shivani
    Dastmalchian, Sara
    Gulani, Vikas
    Chen, Yong
    SCIENTIFIC REPORTS, 2017, 7
  • [25] Free-breathing R2* mapping of hepatic iron overload in children using 3D multi-echo UTE cones MRI
    Kee, Youngwook
    Sandino, Christopher M.
    Syed, Ali B.
    Cheng, Joseph Y.
    Shimakawa, Ann
    Colgan, Timothy J.
    Hernando, Diego
    Vasanawala, Shreyas S.
    MAGNETIC RESONANCE IN MEDICINE, 2021, 85 (05) : 2608 - 2621
  • [26] Motion robust high resolution 3D free-breathing pulmonary MRI using dynamic 3D image self-navigator
    Jiang, Wenwen
    Ong, Frank
    Johnson, Kevin M.
    Nagle, Scott K.
    Hope, Thomas A.
    Lustig, Michael
    Larson, Peder E. Z.
    MAGNETIC RESONANCE IN MEDICINE, 2018, 79 (06) : 2954 - 2967
  • [27] Respiratory and Cardiac Self-Gated Free-Breathing Cardiac CINE Imaging With Multiecho 3D Hybrid Radial SSFP Acquisition
    Liu, Jing
    Spincemaille, Pascal
    Codella, Noel C. F.
    Nguyen, Thanh D.
    Prince, Martin R.
    Wang, Yi
    MAGNETIC RESONANCE IN MEDICINE, 2010, 63 (05) : 1230 - 1237
  • [28] Free-breathing 3D whole-heart coronary mra using respiratory motion-resolved sparse reconstruction
    Davide Piccini
    Li Feng
    Gabriele Bonanno
    Simone Coppo
    Jérôme Yerly
    Ruth P Lim
    Juerg Schwitter
    Daniel K Sodickson
    Ricardo Otazo
    Matthias Stuber
    Journal of Cardiovascular Magnetic Resonance, 18 (Suppl 1)
  • [29] Respiratory motion correction for free-breathing 3D abdominal MRI using CNN-based image registration: a feasibility study
    Lv, Jun
    Yang, Ming
    Zhang, Jue
    Wang, Xiaoying
    BRITISH JOURNAL OF RADIOLOGY, 2018, 91 (1083):
  • [30] Improved respiratory self-navigation for 3D radial acquisitions through the use of a pencil-beam 2D-T2-prep for free-breathing, whole-heart coronary MRA
    Coristine, Andrew J.
    Chaptinel, Jerome
    Ginami, Giulia
    Bonanno, Gabriele
    Coppo, Simone
    van Heeswijk, Ruud B.
    Piccini, Davide
    Stuber, Matthias
    MAGNETIC RESONANCE IN MEDICINE, 2018, 79 (03) : 1293 - 1303