Water and fat separation in real-time MRI of joint movement with phase-sensitive bSSFP

V. Mazzoli, A.J. Nederveen, J. Oudeman, A.M.J. Sprengers, K. Nicolay, G.J. Strijkers, N. Verdonschot

    Research output: Contribution to journalArticleAcademicpeer-review

    5 Citations (Scopus)


    Purpose: To introduce a method for obtaining fat-suppressed images in real-time MRI of moving joints at 3 Tesla (T) using a bSSFP sequence with phase detection to enhance visualization of soft tissue structures during motion. Methods: The wrist and knee of nine volunteers were imaged with a real-time bSSFP sequence while performing dynamic tasks. For appropriate choice of sequence timing parameters, water and fat pixels showed an out-of-phase behavior, which was exploited to reconstruct water and fat images. Additionally, a 2-point Dixon sequence was used for dynamic imaging of the joints, and resulting water and fat images were compared with our proposed method. Results: The joints could be visualized with good water–fat separation and signal-to-noise ratio (SNR), while maintaining a relatively high temporal resolution (5 fps in knee imaging and 10 fps in wrist imaging). The proposed method produced images of moving joints with higher SNR and higher image quality when compared with the Dixon method. Conclusions: Water–fat separation is feasible in real-time MRI of moving knee and wrist at 3 T. PS-bSSFP offers movies with higher SNR and higher diagnostic quality when compared with Dixon scans. Magn Reson Med 78:58–68, 2017.

    Original languageEnglish
    Pages (from-to)58-68
    Number of pages11
    JournalMagnetic Resonance in Medicine
    Issue number1
    Publication statusPublished - 1 Jul 2017


    • bSSFP
    • knee MRI
    • real-time MRI
    • water-fat separation
    • wrist MRI
    • Range of Motion, Articular/physiology
    • Reproducibility of Results
    • Body Water/diagnostic imaging
    • Humans
    • Adipose Tissue/diagnostic imaging
    • Joints/diagnostic imaging
    • Magnetic Resonance Imaging/methods
    • Male
    • Subtraction Technique
    • Young Adult
    • Sensitivity and Specificity
    • Signal Processing, Computer-Assisted
    • Computer Systems
    • Female
    • Image Interpretation, Computer-Assisted/methods
    • Image Enhancement/methods


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