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Impact of gradient imperfections on bone water quantification with UTE MRI

Xia Zhao, Hyunyeol Lee, Hee Kwon Song, Cheng‐Chieh Cheng, Félix W. Wehrli

2020Magnetic Resonance in Medicine11 citationsDOIOpen Access PDF

Abstract

PURPOSE: The impact of gradient imperfections on UTE images and UTE image-derived bone water quantification was investigated at 3 T field strength. METHODS: The effects of simple gradient time delays and eddy currents on UTE images, as well as the effects of gradient error corrections, were studied with simulation and phantom experiments. The k-space trajectory was mapped with a 2D sequence with phase encoding on both spatial axes by measuring the phase of the signal in small time increments during ramp-up of the read gradient. In vivo 3D UTE images were reconstructed with and without gradient error compensation to determine the bias in bone water quantification. Finally, imaging was performed on 2 equally configured Siemens TIM Trio systems (Siemens Medical Solutions, Erlangen, Germany) to investigate the impact of such gradient imperfections on inter-scanner measurement bias. RESULTS: Compared to values derived from UTE images with full gradient error compensation, total bone water was found to deviate substantially with no (up to 17%) or partial (delay-only) compensation (up to 10.8%). Bound water, obtained with inversion recovery-prepared UTE, was somewhat less susceptible to gradient errors (up to 2.2% for both correction strategies). Inter-scanner comparison indicated a statistically significant bias between measurements from the 2 MR systems for both total and bound water, which either vanished or was substantially reduced following gradient error correction. CONCLUSION: Gradient imperfections impose spatially dependent artifacts on UTE images, which compromise not only bone water quantification accuracy but also inter-scanner measurement agreement if left uncompensated.

Topics & Concepts

ScannerOffset (computer science)Imaging phantomGradient echoFlip angleCompensation (psychology)PhysicsNuclear magnetic resonanceNuclear medicineBiomedical engineeringMaterials scienceOpticsComputer scienceMagnetic resonance imagingRadiologyProgramming languagePsychologyMedicinePsychoanalysisAdvanced MRI Techniques and ApplicationsAdvanced Neuroimaging Techniques and ApplicationsMRI in cancer diagnosis