Accelerated MR imaging using compressive sensing with no free parameters

Magnetic Resonance in Medicine

Volumn 68, Issue 5, 2012, Pages 1450-1457

  Khare, Kedar ^a,d   Hardy, Christopher J ^a   King, Kevin F ^b   Turski, Patrick A ^c   Marinelli, Luca ^a  

^a GE GLOBAL RESEARCH   (United States)

^b GE HEALTHCARE   (United States)

^c UNIVERSITY OF WISCONSIN SCHOOL OF MEDICINE AND PUBLIC HEALTH   (United States)

^d INDIAN INSTITUTE OF TECHNOLOGY DELHI   (India)

Author keywords

adaptive image denoising; clinical applications; compressive sensing; image reconstruction

Indexed keywords

COMPRESSED SENSING; CONJUGATE GRADIENT METHOD; FLOW MEASUREMENT; IMAGE COMPRESSION; IMAGE DENOISING; IMAGE ENHANCEMENT; IMAGE QUALITY; MAGNETIC RESONANCE IMAGING; NONLINEAR PROGRAMMING; QUALITY CONTROL;

ADAPTIVE DENOISING; CLINICAL APPLICATION; COMPRESSIVE SENSING; DATA-DRIVEN APPROACH; MRI RECONSTRUCTION; NONLINEAR CONJUGATE GRADIENT; NONLINEAR CONJUGATE GRADIENT METHOD; PHASE CONTRAST DATA;

IMAGE RECONSTRUCTION;

ARTICLE; COMPRESSIVE SENSING IMAGE RECONSTRUCTION; CONTROLLED STUDY; DATA ANALYSIS; HUMAN; IMAGE QUALITY; IMAGE RECONSTRUCTION; NEUROIMAGING; NUCLEAR MAGNETIC RESONANCE IMAGING; SCORING SYSTEM; THREE DIMENSIONAL IMAGING;

EID: 84867883402     PISSN: 07403194     EISSN: 15222594     Source Type: Journal    
DOI: 10.1002/mrm.24143     Document Type: Article

References (20)

1. Candes E, Romberg J, Tao T,. Robust uncertainty principles: exact signal reconstruction from highly incomplete frequency information. IEEE Trans Inf Theory 2006; 52: 489-509.
2. Donoho DL,. Compressed sensing. IEEE Trans Inf Theory 2006; 52: 1289-1306.
3. Lustig M, Donoho D, Pauly JM,. Sparse MRI: the application of compressed sensing for rapid MR imaging. Magn Reson Med 2007; 58: 1182-1195.
4. Jung H, Sung K, Nayak KS, Kim EY, Ye JC,. k-t FOCUSS: a general compressed sensing framework for high resolution dynamic MRI. Magn Reson Med 2009; 61: 103-116.
5. Chen GH, Tang J, Leng S,. Prior image constrained compressed sensing (PICCS): a method to accurately reconstruct dynamic CT images from highly undersampled projection datasets. Med Phys 2008; 35: 660-663.
6. Yu H, Wang G,. Compressed sensing based interior tomography. Phys Med Biol 2009; 54: 2791-2805.
7. 2). Soviet Math Dokl 1983; 27: 372-376.
8. Pruessmann KP, Weiger M, Scheidegger MB, Boesiger P,. SENSE: sensitivity encoding for fast MRI. Magn Reson Med 1999; 42: 952-962.
9. Boyd S, Vandenberghe L,. Convex optimization. Part III Chapter 9. Cambridge University Press; 2004.
10. Daubechies I, Defrise M, De Mol C,. An iterative thresholding algorithm for linear inverse problems with a sparsity constraint. Commun Pure Appl Math 2004; 57: 1413-1457.
11. Beck A, Teboulle M,. A fast iterative shrinkage-thresholding algorithm for linear inverse problems. SIAM J Imaging Sci 2009; 2: 183-202.
12. Herrity KK, Gilbert AC, Tropp JA,. Sparse Approximation via Iterative Thresholding. In: Proc. IEEE Int. Conf. Acoustics, Speech, and Signal Processing (ICASSP). Toulouse, France; 2006. Vol. 3, pp 624-627.
13. Donoho DL, Maleki A, Montanari A,. Message passing algorithms for compressed sensing. Proc Natl Acad Sci USA 2009; 106: 18914-18919.
14. Nesterov Y,. Introductory lectures on convex optimization. Chapter 2, Section 2.2. Springer-Netherlands; 2003.
15. Vandenberghe L,. Lecture notes for UCLA course EE236C-Optimization methods for large-scale systems, in particular Lecture 8 on "Fast Gradient Methods". University of California, Los Angeles, USA. 2010. (www.ee.ucla.edu/∼vandenbe/ee236c.html).
16. Donoho DL, Johnston IM,. Adapting to unknown smoothness via wavelet shrinkage. J Am Statist Assoc 1995; 90: 1200-1224.
17. Mallat S,. A wavelet tour of signal processing. Academic Press; 1999, section 10.2.3.
18. Maleki A, Donoho D,. Optimally tuned iterative reconstruction algorithms for compressed sensing. IEEE J Sel Topics Signal Process 2010; 4: 330-341.
19. Huang F, Chen Y, Yin W, Lin W, Ye X, Guo W, Reykowski A,. A rapid and robust numerical algorithm for sensitivity encoding with sparsity constraints: self-feeding sparse SENSE. Magn Reson Med 2010; 64: 1078-1088.
20. Bernstein MA, Grgic M, Brosnan TJ, Pelc NJ,. Reconstructions of phased contrast phased array multicoil data. Magn Reson Med 1994; 32: 330-334.