Free-breathing liver fat and R 2 ∗ quantification using motion-corrected averaging based on a nonlocal means algorithm.

Autor: Luo H; Radiology, University of Wisconsin-Madison, Madison, WI, USA.; Biomedical Engineering, Vanderbilt University, Nashville, TN, USA.; Institute of Imaging Science, Vanderbilt University, Nashville, TN, USA., Zhu A; Radiology, University of Wisconsin-Madison, Madison, WI, USA.; Biomedical Engineering, University of Wisconsin-Madison, Madison, WI, USA., Wiens CN; Radiology, University of Wisconsin-Madison, Madison, WI, USA., Starekova J; Radiology, University of Wisconsin-Madison, Madison, WI, USA., Shimakawa A; Global MR Applications and Workflow, GE Healthcare, Madison, WI, USA., Reeder SB; Radiology, University of Wisconsin-Madison, Madison, WI, USA.; Biomedical Engineering, University of Wisconsin-Madison, Madison, WI, USA.; Medical Physics, University of Wisconsin-Madison, Madison, WI, USA.; Medicine, University of Wisconsin-Madison, Madison, WI, USA.; Emergency Medicine, University of Wisconsin-Madison, Madison, WI, USA., Johnson KM; Radiology, University of Wisconsin-Madison, Madison, WI, USA.; Medical Physics, University of Wisconsin-Madison, Madison, WI, USA., Hernando D; Radiology, University of Wisconsin-Madison, Madison, WI, USA.; Biomedical Engineering, Vanderbilt University, Nashville, TN, USA.; Biomedical Engineering, University of Wisconsin-Madison, Madison, WI, USA.; Medical Physics, University of Wisconsin-Madison, Madison, WI, USA.; Electrical and Computer Engineering, University of Wisconsin-Madison, Madison, WI, USA.
Jazyk: angličtina
Zdroj: Magnetic resonance in medicine [Magn Reson Med] 2021 Feb; Vol. 85 (2), pp. 653-666. Date of Electronic Publication: 2020 Aug 01.
DOI: 10.1002/mrm.28439
Abstrakt: Purpose: To propose a motion-robust chemical shift-encoded (CSE) method with high signal-to-noise (SNR) for accurate quantification of liver proton density fat fraction (PDFF) and R 2 ∗ .
Methods: A free-breathing multi-repetition 2D CSE acquisition with motion-corrected averaging using nonlocal means (NLM) was proposed. PDFF and R 2 ∗ quantified with 2D CSE-NLM were compared to two alternative 2D techniques: direct averaging and single acquisition (2D 1ave) in a digital phantom. Further, 2D NLM was compared in patients to 3D techniques (standard breath-hold, free-breathing and navigated), and the alternative 2D techniques. A reader study and quantitative analysis (Bland-Altman, correlation analysis, paired Student's t-test) were performed to evaluate the image quality and assess PDFF and R 2 ∗ measurements in regions of interest.
Results: In simulations, 2D NLM resulted in lower standard deviations (STDs) of PDFF (2.7%) and R 2 ∗ (8.2  s - 1 ) compared to direct averaging (PDFF: 3.1%, R 2 ∗ : 13.6  s - 1 ) and 2D 1ave (PDFF: 8.7%, R 2 ∗ : 33.2  s - 1 ). In patients, 2D NLM resulted in fewer motion artifacts than 3D free-breathing and 3D navigated, less signal loss than 2D direct averaging, and higher SNR than 2D 1ave. Quantitatively, the STDs of PDFF and R 2 ∗ of 2D NLM were comparable to those of 2D direct averaging (p>0.05). 2D NLM reduced bias, particularly in R 2 ∗ (-5.73 to -0.36  s - 1 ) that arises in direct averaging (-3.96 to 11.22  s - 1 ) in the presence of motion.
Conclusions: 2D CSE-NLM enables accurate mapping of PDFF and R 2 ∗ in the liver during free-breathing.
(© 2020 International Society for Magnetic Resonance in Medicine.)
Databáze: MEDLINE
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