1. Accelerated phase-contrast magnetic resonance imaging with use of resolution enhancement generative adversarial neural network
- Author
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Manuel A. Morales, Fahime Ghanbari, Ömer Burak Demirel, Jordan A. Street, Tess E. Wallace, Rachel Davids, Jennifer Rodriguez, Scott Johnson, Patrick Pierce, Warren J. Manning, and Reza Nezafat
- Subjects
Super-resolution ,Phase contrast ,Flow ,Complex difference ,Deep learning ,Acceleration ,Diseases of the circulatory (Cardiovascular) system ,RC666-701 - Abstract
ABSTRACT: Background: Cardiovascular magnetic resonance (CMR) phase contrast is used to quantify blood flow. We sought to develop a complex-difference reconstruction for inline super-resolution of phase-contrast flow (CRISPFlow) to accelerate phase-contrast imaging. Methods: CRISPFlow was built on the super-resolution generative adversarial network. The model was trained and tested (4:1 ratio) using retrospectively identified phase-contrast images from 2020 patients (56 ± 16 years; 1131 men) referred for clinical 3T CMR at a single center from 2018 to 2023. For testing, ascending aortic flow images collected with 2.5 × 1.9 mm2 resolution using generalized autocalibrating partially parallel acquisitions (GRAPPA) were used to synthesize images with 7.5 × 1.9 mm2 resolution. CRISPFlow subsequently restored spatial resolution. In a prospective validation study of 38 participants (57 ± 15 years; 14 men) and 16 healthy individuals (42 ± 16 years; 6 men), CRISPFlow was applied to phase-contrast images collected with 7.5 × 1.9 mm2 resolution with use of GRAPPA and was compared to GRAPPA-accelerated images collected with 2.3 × 1.9 mm2 resolution. A blur metric was used to quantify sharpness. Aortic flow measurements were obtained semi-automatically. Statistical evaluation included analysis of variance, Bland-Altman analysis, and Pearson correlation coefficient (r). Results: CRISPFlow reconstruction was successful in all cases. CRISPFlow reduced blurring in retrospective (0.35 vs 0.47, P 0.90) between GRAPPA and CRISPFlow measurements of flow in both studies. Conclusion: We demonstrated the potential of CRISPFlow to accelerate phase contrast CMR.
- Published
- 2025
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