COmplex-Model-Based Estimation of thermal noise for fMRI data in the presence of artifacts

Magnetic Resonance Imaging

Volumn 25, Issue 7, 2007, Pages 1079-1088

  Xu, Yin ^a   Wu, Gaohong ^a   Rowe, Daniel B ^a   Ma, Yuan ^a,b   Zhang, Rongyan ^a   Xu, Guofan ^a   Li, Shi Jiang ^a  

^a MEDICAL COLLEGE OF WISCONSIN   (United States)

^b GE HEALTHCARE   (United States)

Author keywords

COmplex Model Based Estimation; Complex valued model; fMRI; Human brain; Thermal noise

Indexed keywords

ARTICLE; ARTIFACT; FUNCTIONAL MAGNETIC RESONANCE IMAGING; HUMAN; HUMAN EXPERIMENT; NOISE; NORMAL HUMAN; PRIORITY JOURNAL;

ALGORITHMS; ARTIFACTS; COMPUTER SIMULATION; HOT TEMPERATURE; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; MAGNETIC RESONANCE IMAGING; MONTE CARLO METHOD; STATISTICS AS TOPIC;

EID: 34547782158     PISSN: 0730725X     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.mri.2006.12.007     Document Type: Article

References (31)

1. Yacoub E., Duong T.Q., Van De Moortele P., Lindquist M., Adriany G., Kim S.G., et al. Spin-echo fMRI in humans using high spatial resolutions and high magnetic fields. Magn Reson Med 49 (2003) 655-664
2. Preston A., Thomason M., Ochsner K., Cooper J., and Glover G.H. Comparison of spiral-in/out and spiral-out BOLD fMRI at 1.5 and 3 T. Neuroimage 21 (2004) 291-301
3. Wang F.N., Huang T.Y., Lin F.H., Chuang T.C., Chen N.K., Chung H.W., et al. PROPELLER EPI: an MRI technique suitable for diffusion tensor imaging at high field strength with reduced geometric distortions. Magn Reson Med 54 (2005) 1232-1240
4. Kellman P., and McVeigh E. Image reconstruction in SNR units: a general method for SNR measurement. Magn Reson Med 54 (2005) 1439-1447
5. Henkelman R. Measurement of signal intensities in the presence of noise in MR images. Med Phys 12 (1985) 232-233
6. Edelstein W., Bottomley P., and Pfeifer L. A signal-to-noise calibration procedure for NMR imaging system. Med Phys 11 (1984) 180-185
7. Gudbjartsson H., and Patz S. The Rician distribution of noisy MRI data. Magn Reson Med 34 (1995) 910-914
8. Krüger G., and Glover G.H. Physiological noise in oxygenation-sensitive magnetic resonance imaging. Magn Reson Med 46 (2001) 631-637
9. Buonocore M., and Gao L. Ghost artifact reduction for echo planar imaging using image phase correction. Magn Reson Med 38 (1997) 448-453
10. Glover G., and Lai S. Self-navigated spiral fMRI: interleaved versus single shot. Magn Reson Med 39 (1998) 361-368
11. Dietrich O., Heiland S., and Sartor K. Noise correction for the exact determination of apparent diffusion coefficients at low SNR. Magn Reson Med 45 (2001) 448-453
12. Sijbers J., and den Dekker A. Maximum likelihood estimation of signal amplitude and noise variance from MR data. Magn Reson Med 51 (2004) 586-594
13. de Zwart J., Ledden P., van Gelderen P., Bodurka J., Chu R., and Duyn J. Signal-to-noise ratio and parallel imaging performance of a 16-channel receive-only brain coil array at 3.0 Tesla. Magn Reson Med 51 (2004) 22-26
14. Rowe D.B. Parameter estimation in the magnitude-only and complex-valued fMRI data models. Neuroimage 25 (2005) 1124-1132
15. Sijbers J., den Dekker A., Verhoye M., Audekerke J., and Van Dyck D. Estimation of noise from magnitude MR images. Magn Reson Imaging 16 (1998) 87-90
16. Noll D., Nishimura D., and Macovski A. Homodyne detection in magnetic resonance imaging. IEEE Trans Med Imaging 10 (1991) 154-163
17. Haacke M., Brown R., Thompson M., and Venkatesan R. Magnetic resonance imaging: physical principles and sequence design (1999), John Wiley and Sons, New York 331-380
18. Rowe D.B., and Logan B.R. A complex way to compute fMRI activation. Neuroimage 23 (2004) 1078-1092
19. Bain L., and Engelhardt M. Introduction to probability and mathematical statistics. 2nd ed. (2000), Duxbury Press, Boston (MA)
20. Wink A., and Roerdink J. Denoising functional MR images: a comparison of wavelet denoising and Gaussian smoothing. IEEE Trans Med Imaging 23 (2004) 374-387
21. Lagarias J., Reeds J., Wright M., and Wright P. Convergence properties of the Nelder-Mead Simplex method in low dimensions. SIAM J Optim 9 (1998) 112-147
22. Cox R. AFNI: software for analysis and visualization of functional magnetic resonance neuroimages. Comput Biomed Res 29 (1996) 162-173
23. Singh R., Deshpande V., Haacke M., Shea S., Xu Y., McCarthy R., et al. Coronary artery imaging using three-dimensional breath-hold steady-state free precession with two-dimensional iterative partial Fourier reconstruction. J Magn Reson Imaging 19 (2004) 645-649
24. Peng H., Sabati M., Lauzon M., and Frayne R. Reconstruction of MR images from sparsely sampled 3-D K-space data. Proc Intl Soc Magn Reson Med 13 (2005) 2301
25. Chang T., He L., and Fang T. MR image reconstruction from sparse radial samples using Bregman iteration. Proc Intl Soc Magn Reson Med 14 (2006) 696
26. Sabati M., Peng H., and Frayne R. Noise characteristics in POCS (Projection Onto Convex Sets)-reconstructed MR images. Proc Intl Soc Magn Reson Med 14 (2006) 2940
27. Pruessmann K., Weiger M., Scheidegger M., and Boesiger P. SENSE: sensitivity encoding for fast MRI. Magn Reson Med 42 (1999) 1439-1447
28. Xu Y., Xu G., Wu G., and Li S. Group phase delay affects the measurement of functional synchrony. Proc Intl Soc Magn Reson Med 12 (2004) 498
29. Xu G., Xu Y., Wu G., Antuono P., Hammeke T., and Li S.J. Task-modulation of functional synchrony between spontaneous low-frequency oscillations in the human brain detected by fMRI. Magn Reson Med 56 (2006) 41-50
30. Nunes R., Jezzard P., Behrens T., and Clare S. Self-navigated multishot echo-planar pulse sequence for high-resolution diffusion-weighted imaging. Magn Reson Med 53 (2005) 1474-1478
31. Robson M., and Porter D. Reconstruction as a source of artifact in non-gated single-shot diffusion-weighted EPI. Magn Reson Imaging 23 (2005) 899-905