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http://dx.doi.org/10.13104/jksmrm.2014.18.2.87

Towards Routine Clinical Use of Radial Stack-of-Stars 3D Gradient-Echo Sequences for Reducing Motion Sensitivity  

Block, Kai Tobias (Bernard and Irene Schwartz Center for Biomedical Imaging, New York University School of Medicine)
Chandarana, Hersh (Bernard and Irene Schwartz Center for Biomedical Imaging, New York University School of Medicine)
Milla, Sarah (Bernard and Irene Schwartz Center for Biomedical Imaging, New York University School of Medicine)
Bruno, Mary (Bernard and Irene Schwartz Center for Biomedical Imaging, New York University School of Medicine)
Mulholland, Tom (Bernard and Irene Schwartz Center for Biomedical Imaging, New York University School of Medicine)
Fatterpekar, Girish (Bernard and Irene Schwartz Center for Biomedical Imaging, New York University School of Medicine)
Hagiwara, Mari (Bernard and Irene Schwartz Center for Biomedical Imaging, New York University School of Medicine)
Grimm, Robert (Pattern Recognition Lab, University of Erlangen-Nuremberg)
Geppert, Christian (Siemens Medical Solutions Inc.)
Kiefer, Berthold (Siemens AG Healthcare MR)
Sodickson, Daniel K. (Bernard and Irene Schwartz Center for Biomedical Imaging, New York University School of Medicine)
Publication Information
Investigative Magnetic Resonance Imaging / v.18, no.2, 2014 , pp. 87-106 More about this Journal
Abstract
Purpose : To describe how a robust implementation of a radial 3D gradient-echo sequence with stack-of-stars sampling can be achieved, to review the imaging properties of radial acquisitions, and to share the experience from more than 5000 clinical patient scans. Materials and Methods: A radial stack-of-stars sequence was implemented and installed on 9 clinical MR systems operating at 1.5 and 3 Tesla. Protocols were designed for various applications in which motion artifacts frequently pose a problem with conventional Cartesian techniques. Radial scans were added to routine examinations without selection of specific patient cohorts. Results: Radial acquisitions show significantly lower sensitivity to motion and allow examinations during free breathing. Elimination of breath-holding reduces failure rates for non-compliant patients and enables imaging at higher resolution. Residual artifacts appear as streaks, which are easy to identify and rarely obscure diagnostic information. The improved robustness comes at the expense of longer scan durations, the requirement for fat suppression, and the nonexistence of a time-to-center value. Care needs to be taken during the configuration of receive coils. Conclusion: Routine clinical use of radial stack-of-stars sequences is feasible with current MR systems and may serve as substitute for conventional fat-suppressed T1-weighted protocols in applications where motion is likely to degrade the image quality.
Keywords
Radial sampling; Abdominal MRI; Pediatric imaging; Head and neck imaging; Motion robustness, vibe;
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1 Nishimura DG, Jackson JI, Pauly JM. On the nature and reduction of the displacement artifact in flow images. Magn Reson Med 1991;22:481-492   DOI
2 Chandarana H, Block KT, Rosenkrantz AB, et al. Free-breathing radial 3D fat-suppressed T1-weighted gradient echo sequence: a viable alternative for contrast-enhanced liver imaging in patients unable to suspend respiration. Invest Radiol 2011;46:648-653   DOI
3 Azevedo RM, de Campos RO, Ramalho M, Here′dia V, Dale BM, Semelka RC. Free-breathing 3D T1-weighted gradient-echo sequence with radial data sampling in abdominal MRI: preliminary observations. AJR Am J Roentgenol 2011;197:650-657   DOI
4 Chandarana H, Block KT, Winfeld MJ, et al. Free-breathing contrast-enhanced T1-weighted gradient-echo imaging with radial k-space sampling for paediatric abdominopelvic MRI. Eur Radiol 2014;24:320-326   DOI
5 Wu X, Raz E, Block KT, et al. Contrast-enhanced radial 3D fatsuppressed T1-weighted gradient-echo (Radial-VIBE) sequence: a viable and potentially superior alternative to conventional fatsuppressed contrast-enhanced T1-weighted studies of the head and neck. Am J Roentgenol 2014:in press
6 Chandarana H, Heacock L, Rakheja R, et al. Pulmonary nodules in patients with primary malignancy: comparison of hybrid PET/MR and PET/CT imaging. Radiology 2013;268:874-881   DOI
7 Bamrungchart S, Tantaway EM, Midia EC, et al. Free breathing three-dimensional gradient echo-sequence with radial data sampling (radial 3D-GRE) examination of the pancreas: Comparison with standard 3D-GRE volumetric interpolated breathhold examination (VIBE). J Magn Reson Imaging 2013;38:1572-1577   DOI
8 Bernstein MA, King KF, Xiaohong JZ. Handbook of MRI pulse sequences. Elsevier Academic Press, Waltham, 2004
9 Winkelmann S, Schaeffter T, Koehler T, Eggers H, Doessel O. An optimal radial profile order based on the Golden Ratio for time-resolved MRI. IEEE T Med Imaging 2007;26:68-76   DOI
10 Block KT. Advanced methods for radial data sampling in magnetic resonance imaging. SUB University of Goettingen. http://webdoc.sub.gwdg.de/diss/2008/block/block.pdf. Published September 16, 2008. Accessed January 9, 2014
11 Ramachandran GN, Lakshminarayanan AV. Three-dimensional reconstruction from radiographs and electron micrographs: application of convolutions instead of Fourier transforms. Proc Natl Acad Sci USA 1971;68:2236-2240   DOI   ScienceOn
12 Beatty PJ, Nishimura DG, Pauly JM. Rapid gridding reconstruction with a minimal oversampling ratio. IEEE T Med Imaging 2005;24:799-808   DOI
13 Jackson JI, Meyer CH, Nishimura DG, Macovski A. Selection of a convolution function for Fourier inversion using gridding. IEEE T Med Imaging 1991;10:473-478   DOI   ScienceOn
14 Peters DC, Korosec FR, Grist TM, et al. Undersampled projection reconstruction applied to MR angiography. Magn Reson Med 2000;43:91-101   DOI
15 Alley MT, Glover GH, Pelc NJ. Gradient characterization using a Fourier-transform technique. Magn Reson Med 1998;39:581-587   DOI   ScienceOn
16 Peters DC, Derbyshire JA, McVeigh ER. Centering the projection reconstruction trajectory. Magn Reson Med 2003;50:1-6   DOI
17 Block KT, Uecker M. Simple method for adaptive gradientdelay compensation in radial MRI. In: Proceedings of the 19th scientific meeting, International Society for Magnetic Resonance in Medicine 2011, Montreal, p 2816
18 Brodsky EK, Holmes JH, Yu H, Reeder SB. Generalized k-space decomposition with chemical shift correction for non-Cartesian water-fat imaging. Magn Reson Med 2008;59:1151-1164   DOI
19 Xue Y, Yu J, Kang HS, Englander S, Rosen MA, Song HK. Automatic coil selection for streak artifact reduction in radial MRI. Magn Reson Med 2012;67:470-476   DOI
20 Pruessmann KP, Weiger M, Bornert P, Boesiger P. Advances in sensitivity encoding with arbitrary k-space trajectories. Magn Reson Med 2001;46:638-651   DOI   ScienceOn
21 Seiberlich N, Breuer FA, Ehses P, et al. Using the GRAPPA operator and the generalized sampling theorem to reconstruct undersampled non-Cartesian data. Magn Reson Med 2009;61:705-715   DOI
22 Harvey JA, Hendrick RE, Coll JM, Nicholson BT, Burkholder BT, Cohen MA. Breast MR imaging artifacts: how to recognize and fix them. Radiographics 2007;27:S131-145   DOI
23 Song HK, Dougherty L. Dynamic MRI with projection reconstruction and KWIC processing for simultaneous high spatial and temporal resolution. Magn Reson Med 2004;52:815-824   DOI
24 Altbach MI, Bilgin A, Li Z, Clarkson EW, Trouard TP, Gmitro AF. Processing of radial fast spin-echo data for obtaining T2 estimates from a single k-space data set. Magn Reson Med 2005;54:549-559   DOI
25 Feng L, Grimm R, Block KT, et al. Golden-angle radial sparse parallel MRI: combination of compressed sensing, parallel imaging, and golden-angle radial sampling for fast and flexible dynamic volumetric MRI. Magn Reson Med 2013:Epub ahead of print, DOI: 10.1002/mrm.24980
26 Chandarana H, Feng L, Block KT, et al. Free-breathing contrastenhanced multiphase MRI of the liver using a combination of compressed sensing, parallel imaging and golden-angle radial sampling. Invest Radiol 2013;48:10-16   DOI
27 Grimm R, Block KT, Hutter J, et al. Self-gating reconstructions of motion and perfusion for free-breathing T1-weighted DCEMRI of the thorax using 3D stack-of-stars GRE imaging. In: Proceedings of the 20th scientific meeting, International Society for Magnetic Resonance in Medicine 2012, Melbourne, p 3814
28 Lin W, Guo J, Rosen MA, Song HK. Respiratory motioncompensated radial dynamic contrast-enhanced (DCE)-MRI of chest and abdominal lesions. Magn Reson Med 2008;60:1135-1146   DOI
29 Meyer CH, Hu BS, Nishimura DG, Macovski A. Fast spiral coronary artery imaging. Magn Reson Med 1992;28:202-213   DOI
30 Kumar A, Welti D, Ernst RR. NMR Fourier zeugmatography. J Magn Reson 1975;18:69-83
31 Cremillieux Y, Briguet A, Deguin A. Projection-reconstruction methods: fast imaging sequences and data processing. Magn Reson Med 1994;32:23-32   DOI
32 Mistretta CA, Wieben O, Velikina J, et al. Highly constrained backprojection for time-resolved MRI. Magn Reson Med 2006;55:30-40   DOI   ScienceOn
33 Du J, Carroll TJ, Brodsky E, et al. Contrast-enhanced peripheral magnetic resonance angiography using time-resolved vastly undersampled isotropic projection reconstruction. J Magn Reson Imaging 2004;20:894-900   DOI
34 Lustig M, Donoho D, Pauly JM. Sparse MRI: the application of compressed sensing for rapid MR imaging. Magn Res Med 2007;58:1182-1195   DOI   ScienceOn
35 Pipe JG. Motion correction with PROPELLER MRI: application to head motion and free-breathing cardiac imaging. Magn Reson Med 1999;42:963-969   DOI   ScienceOn