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Accelerated free-breathing 3D whole-heart magnetic resonance angiography with a radial phyllotaxis trajectory,compressed sensing,and curvelet transform
Institution:1. Department of Cardiology, Boston Children''s Hospital and Department of Pediatrics, Harvard Medical School, Boston, MA, USA;2. Department of Computer Science, Technical University of Munich, Garching, Germany;3. Philips Healthcare, Gainesville, FL, USA;1. Department of Earth Sciences, Sapienza University of Rome, Piazzale Aldo Moro 5, 00185 Rome, Italy;2. National Research Council - Institute for Complex Systems (CNR-ISC) c/o Physics Department Sapienza University of Rome, Rome, Italy;3. Consiglio Nazionale delle Ricerche - Istituto per la Microelettronica e Microsistemi (CNR-IMM) Bologna, P. Gobetti 101, 40129 Bologna, Italy;4. Consiglio Nazionale delle Ricerche - Istituto per lo Studio dei Materiali Nanostrutturati (CNR-ISMN) Bologna, P. Gobetti 101, 40129 Bologna, Italy;5. Department of Mathematical and Computational Sciences, Physics Science and Earth Sciences (MIFT), University of Messina, Messina 98166, Italy;6. Centro Fermi - Museo Storico della Fisica e Centro Studi e Ricerche Enrico Fermi, Piazza del Viminale 1, 00184 Rome, Italy;1. Department of Radiology, Kawasaki Medical School, 577 Matsushima, Kurashiki-city, Okayama 701-0192, Japan;2. Department of Pathology, Kawasaki Medical School, 577 Matsushima, Kurashiki-city, Okayama 701-0192, Japan;3. Department of Radiology, Radiolonet Tokai, Asaoka-cho 3-86-2, Chikusa-ku, Nagoya-city, Aichi 464-0811, Japan;4. Philips Japan, Konan 2-13-37, Minato-ku, Tokyo 108-8507, Japan;5. Department of Urology, Kawasaki Medical School, 577 Matsushima, Kurashiki-city, Okayama 701-0192, Japan;1. Utah Center for Advanced Imaging Research (UCAIR), Department of Radiology and Imaging Sciences, University of Utah Salt Lake City, UT, USA;2. Department of Biomedical Engineering, University of Utah, Salt Lake City, UT, USA;3. Department of Physics and Astronomy, University of Utah, Salt Lake City, UT, USA;4. Ming Hsieh Department of Electrical and Computer Engineering, University of Southern California, Los Angeles, CA, USA;5. Department of Cardiology, University of Utah, Salt Lake City, UT, USA
Abstract:PurposeTo develop and validate an accelerated free-breathing 3D whole-heart magnetic resonance angiography (MRA) technique using a radial k-space trajectory with compressed sensing and curvelet transform.MethodA 3D radial phyllotaxis trajectory was implemented to traverse the centerline of k-space immediately before the segmented whole-heart MRA data acquisition at each cardiac cycle. The k-space centerlines were used to correct the respiratory-induced heart motion in the acquired MRA data. The corrected MRA data were then reconstructed by a novel compressed sensing algorithm using curvelets as the sparsifying domain. The proposed 3D whole-heart MRA technique (radial CS curvelet) was then prospectively validated against compressed sensing with a conventional wavelet transform (radial CS wavelet) and a standard Cartesian acquisition in terms of scan time and border sharpness.ResultsFifteen patients (females 10, median age 34-year-old) underwent 3D whole-heart MRA imaging using a standard Cartesian trajectory and our proposed radial phyllotaxis trajectory. Scan time for radial phyllotaxis was significantly shorter than Cartesian (4.88 ± 0.86 min. vs. 6.84 ± 1.79 min., P-value = 0.004). Radial CS curvelet border sharpness was slightly lower than Cartesian and, for the majority of vessels, was significantly better than radial CS wavelet (P-value < 0.050).ConclusionThe proposed technique of 3D whole-heart MRA acquisition with a radial CS curvelet has a shorter scan time and slightly lower vessel sharpness compared to the Cartesian acquisition with radial profile ordering, and has slightly better sharpness than radial CS wavelet. Future work on this technique includes additional clinical trials and extending this technique to 3D cine imaging.
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