A fast, noniterative approach for accelerated high-temporal resolution cine-CMR using dynamically interleaved streak removal in the power-spectral encoded domain with low-pass filtering (DISPEL) and modulo-prime spokes (MoPS).
OBJECTIVE
To introduce a pair of accelerated non-Cartesian acquisition principles that when combined, exploit the periodicity of k-space acquisition, and thereby enable acquisition of high-temporal cine Cardiac Magnetic Resonance (CMR).


METHODS
The mathematical formulation of a noniterative, undersampled non-Cartesian cine acquisition and reconstruction is presented. First, a low-pass filtering step that exploits streaking artifact redundancy is provided (i.e., Dynamically Interleaved Streak removal in the Power-spectrum Encoded domain with Low-pass filtering [DISPEL]). Next, an effective radial acquisition for the DISPEL approach that exploits the property of prime numbers is described (i.e., Modulo-Prime Spoke [MoPS]). Both DISPEL and MoPS are examined using numerical simulation of a digital heart phantom to show that high-temporal cine-CMR is feasible without removing physiologic motion vs aperiodic interleaving using Golden Angles. The combined high-temporal cine approach is next examined in 11 healthy subjects for a time-volume curve assessment of left ventricular systolic and diastolic performance vs conventional Cartesian cine-CMR reference.


RESULTS
The DISPEL method was first shown using simulation under different streak cycles to allow separation of undersampled radial streaking artifacts from physiologic motion with a sufficiently frequent streak-cycle interval. Radial interleaving with MoPS is next shown to allow interleaves with pseudo-Golden-Angle variants, and be more compatible with DISPEL against irrational and nonperiodic rotation angles, including the Golden-Angle-derived rotations. In the in vivo data, the proposed method showed no statistical difference in the systolic performance, while diastolic parameters sensitive to the cine's temporal resolution were statistically significant (P < 0.05 vs Cartesian cine).


CONCLUSIONS
We demonstrate a high-temporal resolution cine-CMR using DISPEL and MoPS, whose streaking artifact was separated from physiologic motion.
Department of Medicine, The University of Chicago, Chicago, IL, USA.
Keigo
K
Kawaji
Department of Medicine, The University of Chicago, Chicago, IL, USA.
Mita B
MB
Patel
Department of Radiology, The University of Chicago, Chicago, IL, USA.
Charles G
CG
Cantrell
Department of Surgery, The University of Chicago, Chicago, IL, USA.
Akiko
A
Tanaka
Department of Medicine, The University of Chicago, Chicago, IL, USA.
Marco
M
Marino
Department of Electrical, Electronic and Computer Engineering, Gifu University, Gifu City, Japan.
Satoshi
S
Tamura
Philips, Gainesville, FL, USA.
Hui
H
Wang
Departments of Biomedical Engineering and Radiology, Cornell University, New York, NY, USA.
Yi
Y
Wang
Department of Radiology, The University of Chicago, Chicago, IL, USA.
Timothy J
TJ
Carroll
Department of Surgery, The University of Chicago, Chicago, IL, USA.
Takeyoshi
T
Ota
Departments of Medicine and Radiology, The University of Chicago, Chicago, IL, USA.
Amit R
AR
Patel
D000465:Algorithms; D016477:Artifacts; D006321:Heart / Q000000981:diagnostic imaging*; D006801:Humans; D007090:Image Interpretation, Computer-Assisted; D019028:Magnetic Resonance Imaging, Cine; D015203:Reproducibility of Results
DISPEL; MoPS; cine; high-frame-rate; noniterative