Jens Wetzl1,2, Christoph Forman3, Bernd J Wintersperger4,5, Luigia D'Errico4,5, Michaela Schmidt3, Boris Mailhe6, Andreas Maier1,2, Aurélien F Stalder3. 1. Pattern Recognition Lab, Department of Computer Science, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany. 2. Erlangen Graduate School in Advanced Optical Technologies (SAOT), Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany. 3. Siemens Healthcare GmbH, Erlangen, Germany. 4. Department of Medical Imaging, Peter Munk Cardiac Centre, Toronto General Hospital, University Health Network, Toronto, Ontario, Canada. 5. Department of Medical Imaging, University of Toronto, Toronto, Ontario, Canada. 6. Siemens Medical Solutions USA Inc., Princeton, New Jersey, USA.
Abstract
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.
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.
Authors: Liliana E Ma; Michael Markl; Kelvin Chow; Hyungkyu Huh; Christoph Forman; Alireza Vali; Andreas Greiser; James Carr; Susanne Schnell; Alex J Barker; Ning Jin Journal: Magn Reson Med Date: 2019-02-25 Impact factor: 4.668
Authors: Johannes Budjan; Ulrike I Attenberger; Stefan O Schoenberg; Hubertus Pietsch; Gregor Jost Journal: Eur Radiol Date: 2017-12-07 Impact factor: 5.315
Authors: Ashitha Pathrose; Liliana Ma; Haben Berhane; Michael B Scott; Kelvin Chow; Christoph Forman; Ning Jin; Ali Serhal; Ryan Avery; James Carr; Michael Markl Journal: Magn Reson Med Date: 2020-10-26 Impact factor: 4.668