Complex threshold method for identifying pixels that contain predominantly noise in magnetic resonance images

Journal of Magnetic Resonance Imaging

Volumn 28, Issue 3, 2008, Pages 727-735

  Pandian, Daniel S J ^a   Ciulla, Carlo ^b   Haacke, E Mark ^a,b,c   Jiang, Jing ^b   Ayaz, Muhammad ^a,c  

^a Wayne State University   (United States)

^b WAYNE STATE UNIVERSITY   (United States)

^c MRI Institute for Biomedical Research   (United States)

Author keywords

Connectivity; Phase imaging; Susceptibility weighted imaging; Threshold

Indexed keywords

ANALYTIC METHOD; ARTICLE; AUTOMATION; IMAGE ANALYSIS; MEASUREMENT ERROR; NUCLEAR MAGNETIC RESONANCE IMAGING; PRIORITY JOURNAL; SIGNAL NOISE RATIO;

ALGORITHMS; ARTIFACTS; BRAIN; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; MAGNETIC RESONANCE IMAGING; NUMERICAL ANALYSIS, COMPUTER-ASSISTED; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; SIGNAL PROCESSING, COMPUTER-ASSISTED;

EID: 51449113619     PISSN: 10531807     EISSN: 15222586     Source Type: Journal    
DOI: 10.1002/jmri.21487     Document Type: Article

References (23)

1. Edelstein WA, Glover GH, Hardy CJ, Redington RW. The intrinsic signal-to-noise ratio in NMR imaging. Magn Reson Med 1986;3:604-618.
2. Henkelman RM. Measurement of signal intensities in the presence of noise in MR images. Med Phys 1985;12:232-233.
3. Rice SO. Mathematical analysis of random noise. Bell System Tech J 1944;23:283.
4. Bernstein MA, Thomasson DM, Perman WH. Improved detectability in low signal-to-noise ratio magnetic resonance images by means of phase corrected real reconstruction, Med Phys 1989;16:813-817.
5. Gudbjartsson H, Patz S. The Rician distribution of noisy MRI data. Magn Reson Med 1995; 34:910-914.
6. Andersen AH. On the Rician distribution of noisy MRI data. Magn Reson Med 1996;36:331-333.
7. Sijbers J, Den Dekker AJ, Van Audekerke J, Verhoye M, Van Dyck D. Estimation of noise in magnitude MR images. Magn Reson Imaging 1998;16:87-90.
8. Sijbers J, Poot D, Den Dekker AJ, Pintjens W. Automatic estimation of the noise variance from the histogram of a magnetic resonance image. Phys Med Biol 2007;52:1335-1348.
9. Chang L-C, Rohde G, Pierpaoli C. An automatic method for estimating noise-induced signal variance in magnitude-reconstructed magnetic resonance images. SPIE Med Imag 2005 Image Processing 5747:1136-1142.
10. Rowe DB, Logan BR. A complex way to compute fMRI activation. Neuroimage 2004;23:1078-1092
11. Constable RT, Henkelman RM. Contrast, resolution and detectability in MR imaging. J Comput Assist Tomogr 1991;15:297-303.
12. Hendrick RE, Haacke EM. Basic physics of MR contrast agents and maximization of image contrast. J Magn Reson Imaging 1993;3:137-148.
13. Haacke EM, Brown RW, Thompson MR, Venkatesan R. MRI: physical principles and sequence design. New York: John Wiley & Sons; 1999.
14. Madore B, Henkelman RM. A new way of averaging with applications to MRI. Med Phys 1996;23:109-113.
15. Macovski A. Noise in MRI. Magn Reson Imaging 1996;38:494-497.
16. Nowak RD. Wavelet based Rician noise removal for magnetic resonance imaging. IEEE Trans Imag Proc 1999;8:1408-1419.
17. Sijbers J, Den Dekker AJ, Van Der Linden A, Verhoye M, Van Dyck D. Adaptive anisotropic noise filtering for magnitude MRI data. Magn Reson Imaging 1999;17:1533-1539.
18. Lysaker M, Lundervold A, Tai X-C. Noise removal using fourth-order partial differential equation with applications to medical magnetic resonance images in space and time. IEEE Trans Image Process 2003;12:1579-1589.
19. Chen B, Hsu EW. Noise removal in magnetic resonance diffusion tensor imaging. Magn Reson Med 2005;54:393-407.
20. Cline HE, Dumoulin CL, Lorensen WE, Souza SP, Adams WJ. Volume rendering and connectivity algorithms for MR angiography. Magn Reson Med 1991;18:384-394.
21. Lin W, Haacke EM, Maaryk TJ, Smith AS. Automated local maximum-intensity projection with three-dimensional vessel tracking. J Magn Reson Imaging 1992;2:519-526.
22. Reichenbach JR, Venkatesan R, Schillinger DJ, Kido DK, Haacke EM. Small vessels in the human brain: MR venography with deoxyhemoglobin as an intrinsic contrast agent. Radiology 1997;204:272-277.
23. Haacke EM, Xu Y, Cheng YCN, Reichenbach J. Susceptibility weighted imaging (SWI). Magn Reson Med 2004;52:612-618.