Compressed sensing of remotely detected MRI velocimetry in microfluidics

Journal of Magnetic Resonance

Volumn 205, Issue 2, 2010, Pages 196-201

  Paulsen, Jeffrey ^a   Bajaj, Vikram S ^b   Pines, Alexander ^a  

^a UNIVERSITY OF CALIFORNIA   (United States)

^b LAWRENCE BERKELEY NATIONAL LABORATORY   (United States)

Author keywords

Flow imaging; Microfluidics; Remote detection; Velocimetry

Indexed keywords

ACQUISITION TIME; COMPRESSED SENSING; DYNAMIC INFORMATION; FILLING FACTOR; FLOW IMAGING; HIGH DIMENSIONALITY; HIGHER RESOLUTION; HIGHER RESOLUTION IMAGES; K-SPACE; MICRO-FLUIDIC DEVICES; MICROFLUIDIC CHANNEL; MICROSCOPIC RESOLUTION; POROUS MEDIA; RECONSTRUCTION TECHNIQUES; REMOTE DETECTION; SIGNAL TO NOISE; SUB-SAMPLING; VELOCIMETRY;

EXPERIMENTS; FLOW MEASUREMENT; FLOWMETERS; FLUIDIC DEVICES; MAGNETIC RESONANCE IMAGING; MAGNETIC SUSCEPTIBILITY; POROUS MATERIALS; SERPENTINE; SIGNAL DETECTION; SIGNAL RECONSTRUCTION; SILICATE MINERALS; VELOCIMETERS; VELOCITY MEASUREMENT;

MICROFLUIDICS;

ALGORITHM; ARTICLE; IMAGE PROCESSING; METHODOLOGY; MICROCOMPUTER; MICROFLUIDICS; NUCLEAR MAGNETIC RESONANCE IMAGING; NUCLEAR MAGNETIC RESONANCE SPECTROSCOPY; STATISTICS; PROCEDURES; STATISTICS AND NUMERICAL DATA;

ALGORITHMS; IMAGE PROCESSING, COMPUTER-ASSISTED; MAGNETIC RESONANCE IMAGING; MAGNETIC RESONANCE SPECTROSCOPY; MICROCOMPUTERS; MICROFLUIDICS;

EID: 77955304301     PISSN: 10907807     EISSN: 10960856     Source Type: Journal    
DOI: 10.1016/j.jmr.2010.04.016     Document Type: Article

References (42)

1. R.W. Mair, and P.T. Callaghan Shear flow of wormlike micelles in pipe and cylindrical Couette geometries as studied by nuclear magnetic resonance microscopy J. Rheol. 41 1997 901 924
2. P.T. Callaghan Principles of Nuclear Magnetic Resonance Microscopy 1991 Clarendon Press Oxford
3. E. Harel, and A. Pines Spectrally resolved flow imaging of fluids inside a microfluidic chip with ultrahigh time resolution J. Magn. Reson. 193 2008 199 206
4. L. Li, Q. Chen, A.E. Marble, L. Romero-Zerón, B. Newling, and B.J. Balcom Flow imaging of fluids in porous media by magnetization prepared centric-scan SPRITE J. Magn. Reson. 197 2009 1 8
5. Y.E. Kutsovsky, L.E. Scriven, H.T. Davis, and B.E. Hammer NMR imaging of velocity profiles and velocity distributions in bead packs Phys. Fluids 8 1996 863 871
6. S. Harms, S. Stapf, and B. Blümich Application of k-and q-space encoding NMR techniques on granular media in a 3D model fluidized bed reactor J. Magn. Reson. 178 2006 308 317
7. D.P. Murphy Advances in MWD and formation evaluation for 1995 World Oil 216 3 1995 39 49 (Other Information: PBD: Mar 1995 Medium: X; Size)
8. C.L. Hansen, E. Skordalakes, J.M. Berger, and S.R. Quake A robust and scalable microfluidic metering method that allows protein crystal growth by free interface diffusion Proc. Natl. Acad. Sci. U. S. A. 99 2002 16531 16536
9. A.R. Wheeler, W.R. Throndset, R.J. Whelan, A.M. Leach, R.N. Zare, Y.H. Liao, K. Farrell, I.D. Manger, and A. Daridon Microfluidic device for single-cell analysis Anal. Chem. 75 2003 3581 3586
10. H. Andersson, and A. van den Berg Microfluidic devices for cellomics: a review Sens. Actuators, B 92 2003 315 325
11. S.A. Greenspoon, S.H.I. Yeung, K.R. Johnson, W.K. Chu, H.N. Rhee, A.B. McGuckian, C.A. Crouse, T.N. Chiesl, A.E. Barron, J.R. Scherer, J.D. Ban, and R.A. Mathies A forensic laboratory tests the Berkeley microfabricated capillary array electrophoresis device J. Forensic Sci. 53 2008 828 837
12. E.T. Lagally, P.C. Simpson, and R.A. Mathies Monolithic integrated microfluidic DNA amplification and capillary electrophoresis analysis system Sens. Actuators, B 63 2000 138 146
13. G.M. Whitesides The origins and the future of microfluidics Nature 442 2006 368 373
14. Elisabeth Verpoorte Microfluidic chips for clinical and forensic analysis Electrophoresis 23 2002 677 712
15. D.S. Peterson Solid supports for micro analytical systems Lab Chip 5 2005 132 139
16. N. Tanaka, H. Nagayama, H. Kobayashi, T. Ikegami, K. Hosoya, N. Ishizuka, H. Minakuchi, K. Nakanishi, K. Cabrera, and D. Lubda Monolithic silica columns for HPLC, micro-HPLC, and CEC J. High Resolut. Chromatogr. 23 2000 111 116 (Pubitemid 30105370)
17. D.J. Laser, and J.G. Santiago A review of micropumps J. Micromech. Microeng. 14 2004 R35 R64
18. I.M. Lazar, and B.L. Karger Multiple open-channel electroosmotic pumping system for microfluidic sample handling Anal. Chem. 74 2002 6259 6268
19. H. Andersson, W. van der Wijngaart, P. Nilsson, P. Enoksson, and G. Stemme A valve-less diffuser micropump for microfluidic analytical systems Sens. Actuators, B 72 2001 259 265
20. W.H. Grover, A.M. Skelley, C.N. Liu, E.T. Lagally, and R.A. Mathies Monolithic membrane valves and diaphragm pumps for practical large-scale integration into glass microfluidic devices Sens. Actuators, B 89 2003 315 323
21. K.W. Oh, and C.H. Ahn A review of microvalves J. Micromech. Microeng. 16 2006 R13 R39
22. C. Yu, S. Mutlu, P. Selvaganapathy, C.H. Mastrangelo, F. Svec, and J.M.J. Frechet Flow control valves for analytical microfluidic chips without mechanical parts based on thermally responsive monolithic polymers Anal. Chem. 75 2003 1958 1961
23. N.-T. Nguyen, X. Huang, and T.K. Chuan MEMS-micropumps: a review J. Fluids Eng. 124 2002 384 392
24. E. Verpoorte, and N.F. De Rooij Microfluidics meets MEMS Proc. IEEE 91 2003 930 953
25. D. Psaltis, S.R. Quake, and C. Yang Developing optofluidic technology through the fusion of microfluidics and optics Nature 442 2006 381 386
26. C. Monat, P. Domachuk, and B.J. Eggleton Integrated optofluidics: a new river of light Nat. Photon. 1 2007 106 114
27. J.A. Seeley, S.-I. Han, and A. Pines Remotely detected high-field MRI of porous samples J. Magn. Reson. 167 2004 282 290
28. C. Hilty, E.E. McDonnell, J. Granwehr, K.L. Pierce, S.-I. Han, and A. Pines Microfluidic gas-flow profiling using remote-detection NMR Proc. Natl. Acad. Sci. U. S. A. 102 2005 14960 14963
29. J. Granwehr, and J.A. Seeley Sensitivity quantification of remote detection NMR and MRI J. Magn. Reson. 179 2006 280 289
30. D.L. Donoho Compressed sensing IEEE Trans. Inf. Theory 52 2006 1289 1306
31. Michael Lustig, David Donoho, John M. Pauly, and M.R.I. Sparse The application of compressed sensing for rapid MR imaging Magn. Reson. Med. 58 2007 1182 1195
32. E.J. Candes, J. Romberg, and T. Tao Robust uncertainty principles: exact signal reconstruction from highly incomplete frequency information IEEE Trans. Inf. Theory 52 2006 489 509
33. M. Lustig, J.M. Santos, D.L. Donoho, and J.M. Pauly k-t SPARSE: high frame rate dynamic MRI exploiting spatio-temporal sparsity ISMRM 2006
34. D. Takhar, J.N. Laska, M.B. Wakin, M.F. Duarte, D. Baron, S. Sarvotham, K.F. Kelly, R.G. Baraniuk, A new compressive imaging camera architecture using optical-domain compression, in: Proceedings of IS&T/SPIE Computational Imaging IV, 2006.
35. Y. Tsaig, and D.L. Donoho Extensions of compressed sensing Signal Process. 86 2006 549 571
36. D.L. Donoho, I.M. Johnstone, J.C. Hoch, and A.S. Stern Maximum entropy and the nearly black object J. R. Stat. Soc. B (Methodological) 54 1992 41 81
37. M. Lustig, D.L. Donoho, J.M. Santos, and J.M. Pauly Compressed sensing MRI IEEE Signal Process. Mag. 25 2008 72 82
38. O. Rioul, and M. Vetterli Wavelets and signal processing IEEE Signal Process. Mag. 8 1991 14 38
39. M. Mobli, A.S. Stern, and J.C. Hoch Spectral reconstruction methods in fast NMR: reduced dimensionality, random sampling and maximum entropy J. Magn. Reson. 182 2006 96 105
40. E. Fukushima Nuclear magnetic resonance as a tool to study flow Annu. Rev. Fluid Mech. 31 1999 95 123
41. E. van den Berg, and M.P. Friedlander Probing the Pareto frontier for basis pursuit solutions SIAM J. Sci. Comput. 31 2008 890 912
42. J. Buckheit, S. Chen, D. Donoho, I.M. Johnstone, J. Scargle, About Wavelab, Stanford University Tech. Report, 1995.