Xue Feng1, Silvia S Blemker1,2, Josh Inouye1, Catherine M Pelland2, Li Zhao1, Craig H Meyer1,3. 1. Department of Biomedical Engineering, University of Virginia, Charlottesville, Virginia, USA. 2. Department of Mechanical and Aerospace Engineering, University of Virginia, Charlottesville, Virginia, USA. 3. Department of Radiology, University of Virginia, Charlottesville, Virginia, USA.
Abstract
PURPOSE: To develop a real-time dynamic MRI method for comprehensive evaluation of velum movement during speech. METHODS: Dynamic MRI has been used to study velopharyngeal insufficiency (VPI) by imaging the movement of the velum during speech, because it can provide good anatomic details with no exposed radiation. To be able to comprehensively evaluate dynamic velum movement, a real-time spiral non-balanced SSFP sequence was developed with simultaneous dual-planar coverage and improved spatial and temporal resolution using a combination of parallel imaging and spatial and temporal compressed sensing to achieve 6 × acceleration. New off-resonance correction and post-processing methods were also developed to reduce blurring and slice crosstalk. RESULTS: The method demonstrated good image quality for visualizing dynamic velum movement with reduced blurring and improved image homogeneity. Spatial resolution of 1.2*1.2 mm2 with 150 mm FOV and temporal resolution of 20 frames-per-second with simultaneous dual-planar coverage was achieved. CONCLUSIONS: This work describes a new technique for studying speech disorders using dual-planar accelerated spiral dynamic MRI.
PURPOSE: To develop a real-time dynamic MRI method for comprehensive evaluation of velum movement during speech. METHODS: Dynamic MRI has been used to study velopharyngeal insufficiency (VPI) by imaging the movement of the velum during speech, because it can provide good anatomic details with no exposed radiation. To be able to comprehensively evaluate dynamic velum movement, a real-time spiral non-balanced SSFP sequence was developed with simultaneous dual-planar coverage and improved spatial and temporal resolution using a combination of parallel imaging and spatial and temporal compressed sensing to achieve 6 × acceleration. New off-resonance correction and post-processing methods were also developed to reduce blurring and slice crosstalk. RESULTS: The method demonstrated good image quality for visualizing dynamic velum movement with reduced blurring and improved image homogeneity. Spatial resolution of 1.2*1.2 mm2 with 150 mm FOV and temporal resolution of 20 frames-per-second with simultaneous dual-planar coverage was achieved. CONCLUSIONS: This work describes a new technique for studying speech disorders using dual-planar accelerated spiral dynamic MRI.
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