Abstract
Purpose: To achieve ultra-high temporal resolution (approximately 20 msec) in free-breathing, real-time cardiac cine MRI using golden-angle radial sparse parallel (GRASP) reconstruction amplified with view sharing (VS) and k-space–weighted image contrast (KWIC) filtering. Materials and Methods: Fourteen pediatric patients with congenital heart disease (mean age [SD], 9 years ± 2; 13 male) and 10 adult patients with arrhythmia (mean age, 62 years ± 8; nine male) who underwent both standard breath-hold cine and free-breathing real-time cine using GRASP were retrospectively identified. To achieve high temporal resolution, each time frame was reconstructed using six radial spokes, corresponding to acceleration factors ranging from 24 to 32. To compensate for loss in spatial resolution resulting from over-regularization in GRASP, VS and KWIC filtering were incorporated. The blur metric, visual image quality scores, and biventricular parameters were compared between clinical and real-time cine images. Results: In pediatric patients, the incorporation of VS and KWIC into GRASP (ie, GRASP + VS + KWIC) produced significantly (P < .05) sharper x-y-t (blur metric: 0.36 ± 0.03, 0.41 ± 0.03, 0.48 ± 0.03, respectively) and x-y-f (blur metric: 0.28 ± 0.02, 0.31 ± 0.03, 0.37 ± 0.03, respectively) component images compared with GRASP + VS and conventional GRASP. Only the noise score differed significantly between GRASP + VS + KWIC and clinical cine; all visual scores were above the clinically acceptable (3.0) cutoff point. Biventricular volumetric parameters strongly correlated (R2 > 0.85) between clinical and real-time cine images reconstructed with GRASP + VS + KWIC and were in good agreement (relative error < 6% for all parameters). In adult patients, the visual scores of all categories were significantly lower (P < .05) for clinical cine compared with real-time cine with GRASP + VS + KWIC, except for noise (P = .08). Conclusion: Incorporating VS and KWIC filtering into GRASP reconstruction enables ultra-high temporal resolution (approximately 2msec) without significant loss in spatial resolution.
Original language | English (US) |
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Article number | e230107 |
Journal | Radiology: Cardiothoracic Imaging |
Volume | 6 |
Issue number | 1 |
DOIs | |
State | Published - 2024 |
Funding
board. R. Paul No relevant relationships. J.C.C. Institutional research support from Bayer, Guerbet, and Siemens; consulting fees from and advisory board of Bayer, Bracco, and RoClub; support for travel to collaboration meeting from Siemens and Philips; stock/stock options in RoClub; research equipment from Siemens to institution. S.Z. No relevant relationships. R. Passman American Heart Association AF SFRN grant (payment to institution); grant from American Heart Association. J.D.R. Consulting fees from Siemens Medical Solutions USA (unrelated to this manuscript/technique); stock/stock options in Doximity (unrelated to this manuscript). D.C.L. NIH grant (1R01HL151079-01). C.K.R. No relevant relationships. D.K. Grants from NIH (R01HL167148. R01HL116895, R01HL151079, R21EB030806), RSNA (EILTC2302), and AHA (949899). Supported in part by the National Institutes of Health (grants R01HL116895, R21AG055954, R01HL151079, R21EB030806A1, and 1R01HL167148-01A1), American Heart Association (grants 19IPLOI34760317, 949899, and 903375), and Radiological Society of North America (grant EILTC2302). Disclosures of conflicts of interest: L.F. Grant from American Heart Association no 903375. K.H. No relevant relationships. B.D.A. Grants from American Heart Association, American Roentgen Ray Society, NIH, Guerbet; consulting fees from Circle Cardiovascular Imaging; payment or honoraria from Circle Cardiovascular Imaging and MRI Online; payment for expert testimony from U.S. Attorney; support for attending meetings/travel from Siemens; patent with Northwestern University; leadership or fiduciary role with Third Coast Dynamics; stock/stock options in
Keywords
- Arrhythmia
- Cine
- Compressed Sensing
- Free-Breathing
- GRASP
- Pediatrics
- Radial k-Space
- Real-Time
- View Sharing
- k-Space–weighted Image Contrast Filtering
ASJC Scopus subject areas
- Radiology Nuclear Medicine and imaging