» Articles » PMID: 27017991

Hybrid Radial-cones Trajectory for Accelerated MRI

Overview
Journal Magn Reson Med
Publisher Wiley
Specialty Radiology
Date 2016 Mar 29
PMID 27017991
Citations 15
Authors
Affiliations
Soon will be listed here.
Abstract

Purpose: To design and develop a series of ultrashort echo time k-space sampling schemes, termed radial-cones, which enables high sampling efficiency while maintaining compatibility with parallel imaging and compressed sensing reconstructions.

Theory And Methods: Radial-cones is a trajectory that samples three-dimensional (3D) k-space using a single base cone distributed along radial dimensions through a cost function-based optimization. Trajectories were generated for highly undersampled, short readout sampling and compared with 3D radial sampling in point spread function (PSF) analysis, digital and physical phantoms, and initial human volunteers. Parallel imaging reconstructions were evaluated with and without the use of compressed sensing-based regularization.

Results: Compared with 3D radial sampling, radial-cones reduced the peak value and energy of PSF aliasing. In both digital and physical phantoms, this improved sampling behavior corresponded to a reduction in the root mean square error with a further reduction using compressed sensing. A slight increase in noise and a corresponding increase in apparent resolution was observed with radial-cones. In in vivo feasibility testing, radial-cones reconstructed images have a markedly lower number of apparent artifacts. Ultimate gains in imaging performance were limited by off-resonance blurring.

Conclusion: Radial-cones is an efficient non-Cartesian sampling scheme enabling short echo readout with a high level of compatibility with parallel imaging and compressed sensing. Magn Reson Med 77:1068-1081, 2017. © 2016 International Society for Magnetic Resonance in Medicine.

Citing Articles

Electric potential energy optimized 3D radial sampling trajectories for MRI.

Huynh C, Goolaub D, Macgowan C Sci Rep. 2024; 14(1):24084.

PMID: 39406755 PMC: 11480509. DOI: 10.1038/s41598-024-74437-x.


Possible effects of left pulmonary artery stenting in single ventricle patients on bronchial area, lung volume and lung function.

Callegari A, Geiger J, Callaghan F, Kellenberger C, Usemann J, Burkhardt B Front Pediatr. 2024; 11:1337568.

PMID: 38293662 PMC: 10825946. DOI: 10.3389/fped.2023.1337568.


Stochastic optimization of three-dimensional non-Cartesian sampling trajectory.

Wang G, Nielsen J, Fessler J, Noll D Magn Reson Med. 2023; 90(2):417-431.

PMID: 37066854 PMC: 10231878. DOI: 10.1002/mrm.29645.


Optimized three-dimensional ultrashort echo time: Magnetic resonance fingerprinting for myelin tissue fraction mapping.

Zhou Z, Li Q, Liao C, Cao X, Liang H, Chen Q Hum Brain Mapp. 2023; 44(6):2209-2223.

PMID: 36629336 PMC: 10028641. DOI: 10.1002/hbm.26203.


Three-dimensional ultrashort echo time magnetic resonance imaging in assessment of idiopathic pulmonary fibrosis, in comparison with high-resolution computed tomography.

Yang X, Liu M, Duan J, Sun H, An J, Benkert T Quant Imaging Med Surg. 2022; 12(8):4176-4189.

PMID: 35919053 PMC: 9338383. DOI: 10.21037/qims-21-1133.


References
1.
Nagel A, Laun F, Weber M, Matthies C, Semmler W, Schad L . Sodium MRI using a density-adapted 3D radial acquisition technique. Magn Reson Med. 2009; 62(6):1565-73. DOI: 10.1002/mrm.22157. View

2.
Vannesjo S, Haeberlin M, Kasper L, Pavan M, Wilm B, Barmet C . Gradient system characterization by impulse response measurements with a dynamic field camera. Magn Reson Med. 2012; 69(2):583-93. DOI: 10.1002/mrm.24263. View

3.
Irarrazabal P, Nishimura D . Fast three dimensional magnetic resonance imaging. Magn Reson Med. 1995; 33(5):656-62. DOI: 10.1002/mrm.1910330510. View

4.
Aubert-Broche B, Evans A, Collins L . A new improved version of the realistic digital brain phantom. Neuroimage. 2006; 32(1):138-45. DOI: 10.1016/j.neuroimage.2006.03.052. View

5.
Bergin C, Pauly J, Macovski A . Lung parenchyma: projection reconstruction MR imaging. Radiology. 1991; 179(3):777-81. DOI: 10.1148/radiology.179.3.2027991. View