Magnetic Resonance in Medicine · 2016 · 22 citations · 18 references
MedicineRadiologyBiomedical ImagingDiagnostic ImagingDiagnostic RadiologyImage Quality AssessmentImage ReconstructionMagnetic Resonance Image ReconstructionMagnetic Resonance ImagingMedical ImagingThree-dimensional ReconstructionContrast-enhanced AngiographyContrast-enhanced Magnetic Resonance AngiographyIterative Image ReconstructionIterative ReconstructionMagnetic ResonanceMagnetic Resonance PhysicsReconstruction AlgorithmsReconstruction Quality Assessment
PURPOSE: To evaluate the clinical benefit of using a new iterative reconstruction technique fully integrated on a standard clinical scanner and reconstruction system using a TWIST acquisition for high-resolution dynamic three-dimensional contrast-enhanced MR angiography (CE-MRA). METHODS: Low-dose, high-resolution TWIST datasets of 11 patients were reconstructed using both standard GRAPPA-based reconstruction for reference and iterative reconstruction, which reduces the temporal footprint of reconstructed images. Image quality of both techniques was assessed by two experienced readers, as well as quantitatively evaluated using a time-signal curve analysis. RESULTS: Image quality scores consistently and significantly improved by using iterative reconstruction compared with the standard approach. Most notably, the delineation of small to mid-size vasculature improved from a mean Likert score between "nondiagnostic" and "poor" for standard to between "good" and "excellent" for iterative reconstruction. The full width at half maximum of the contrast agent bolus computed from the time-signal curve was also reduced by iterative reconstruction, allowing for more precise bolus timing. CONCLUSION: Iterative reconstruction can substantially improve high-resolution dynamic CE-MRA image quality, most notably in small to mid-size vasculature. Dynamic CE-MRA with iterative reconstruction could become an alternative to conventional static 3D CE-MRA, thus simplifying the clinical workflow. Magn Reson Med 77:833-840, 2017. © 2016 International Society for Magnetic Resonance in Medicine.
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Mark A. Griswold, Peter M. Jakob, Robin M. Heidemann et al. · Magnetic Resonance in Medicine · 2002 · 5.3K citations · Full text