Ioannis Koktzoglou1,2, Robert R Edelman1,3. 1. Department of Radiology, NorthShore University HealthSystem, Evanston, llinois, USA. 2. The University of Chicago Pritzker School of Medicine, Chicago, Illinois, USA. 3. Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA.
Abstract
PURPOSE: To evaluate the combination of nonenhanced quiescent-interval slice-selective (QISS) magnetic resonance angiography (MRA) with super-resolution reconstruction for portraying the intracranial arteries. METHODS: The intracranial arteries of seven volunteers were imaged at 3T using QISS MRA acquired with a flow-compensated fast low-angle shot (FLASH) readout and thin overlapping slices. The impacts of super-resolution reconstruction and various acquisition parameters on the delineation of intracranial arteries were quantified using four metrics: arterial-to-background contrast-to-noise ratio (CNR), arterial-to-background contrast, arterial sharpness, and arterial full-width-at-half-maximum (FWHM). Three-dimensional time-of-flight (TOF) MRA was also acquired. RESULTS: For similar voxel sizes, QISS MRA displayed the intracranial arteries with an arterial-to-background contrast that exceeded 3D TOF MRA by 59-84%, depending on the k-space sampling trajectory (P < 0.001). Super-resolution reconstruction improved CNR, contrast, and sharpness, while reducing arterial FWHM (P < 0.001). Cardiac triggering provided minimal benefits, while Cartesian sampling provided higher CNR than radial sampling for multishot QISS (P < 0.05). Scan time for a complete intracranial MRA was <90 s using an ungated single-shot QISS acquisition. CONCLUSION: Thin, overlapping-slice QISS leveraging super-resolution reconstruction is a flexible approach for intracranial MRA that provides competitive image quality to standard-of-care 3D TOF, with the potential for reduced sensitivity to in-plane flow saturation and motion artifacts. Magn Reson Med 79:683-691, 2018.
PURPOSE: To evaluate the combination of nonenhanced quiescent-interval slice-selective (QISS) magnetic resonance angiography (MRA) with super-resolution reconstruction for portraying the intracranial arteries. METHODS: The intracranial arteries of seven volunteers were imaged at 3T using QISS MRA acquired with a flow-compensated fast low-angle shot (FLASH) readout and thin overlapping slices. The impacts of super-resolution reconstruction and various acquisition parameters on the delineation of intracranial arteries were quantified using four metrics: arterial-to-background contrast-to-noise ratio (CNR), arterial-to-background contrast, arterial sharpness, and arterial full-width-at-half-maximum (FWHM). Three-dimensional time-of-flight (TOF) MRA was also acquired. RESULTS: For similar voxel sizes, QISS MRA displayed the intracranial arteries with an arterial-to-background contrast that exceeded 3D TOF MRA by 59-84%, depending on the k-space sampling trajectory (P < 0.001). Super-resolution reconstruction improved CNR, contrast, and sharpness, while reducing arterial FWHM (P < 0.001). Cardiac triggering provided minimal benefits, while Cartesian sampling provided higher CNR than radial sampling for multishot QISS (P < 0.05). Scan time for a complete intracranial MRA was <90 s using an ungated single-shot QISS acquisition. CONCLUSION: Thin, overlapping-slice QISS leveraging super-resolution reconstruction is a flexible approach for intracranial MRA that provides competitive image quality to standard-of-care 3D TOF, with the potential for reduced sensitivity to in-plane flow saturation and motion artifacts. Magn Reson Med 79:683-691, 2018.
Authors: Mark A Griswold; Peter M Jakob; Robin M Heidemann; Mathias Nittka; Vladimir Jellus; Jianmin Wang; Berthold Kiefer; Axel Haase Journal: Magn Reson Med Date: 2002-06 Impact factor: 4.668
Authors: Nozomu Murata; Luis F Gonzalez-Cuyar; Kiyoko Murata; Corinne Fligner; Russell Dills; Daniel Hippe; Kenneth R Maravilla Journal: Invest Radiol Date: 2016-07 Impact factor: 6.016
Authors: Akos Varga-Szemes; Emily A Aherne; U Joseph Schoepf; Thomas M Todoran; Ioannis Koktzoglou; Robert R Edelman Journal: Invest Radiol Date: 2019-12 Impact factor: 6.016
Authors: Ioannis Koktzoglou; Rong Huang; Archie L Ong; Pascale J Aouad; Matthew T Walker; Robert R Edelman Journal: Magn Reson Med Date: 2020-06-10 Impact factor: 4.668
Authors: Ioannis Koktzoglou; Emily A Aherne; Matthew T Walker; Joel R Meyer; Robert R Edelman Journal: J Magn Reson Imaging Date: 2019-05-11 Impact factor: 4.813
Authors: Ioannis Koktzoglou; Rong Huang; Archie L Ong; Pascale J Aouad; Emily A Aherne; Robert R Edelman Journal: Magn Reson Med Date: 2020-01-23 Impact factor: 4.668
Authors: Ioannis Koktzoglou; Rong Huang; William J Ankenbrandt; Matthew T Walker; Robert R Edelman Journal: Magn Reson Med Date: 2021-02-22 Impact factor: 3.737
Authors: Mathias Pamminger; Gert Klug; Christof Kranewitter; Martin Reindl; Sebastian J Reinstadler; Benjamin Henninger; Christina Tiller; Magdalena Holzknecht; Christian Kremser; Axel Bauer; Werner Jaschke; Bernhard Metzler; Agnes Mayr Journal: Eur Radiol Date: 2020-04-22 Impact factor: 5.315
Authors: Lenhard Pennig; Christoph Kabbasch; Ulrike Cornelia Isabel Hoyer; Simon Lennartz; David Zopfs; Lukas Goertz; Kai Roman Laukamp; Anton Wagner; Jan-Peter Grunz; Jonas Doerner; Thorsten Persigehl; Kilian Weiss; Jan Borggrefe Journal: Clin Neuroradiol Date: 2020-10-07 Impact factor: 3.649