Spatially dependent filtering for removing phase distortions at the cortical surface

Magnetic Resonance in Medicine

Volumn 66, Issue 3, 2011, Pages 784-793

  Ng, Amanda ^a,b   Johnston, Leigh ^b,c,d   Chen, Zhaolin ^b,c   Cho, Zang Hee ^e   Zhang, Jingxin ^a   Egan, Gary ^b,c  

^a MONASH UNIVERSITY   (Australia)

^b FLOREY INSTITUTE OF NEUROSCIENCE AND MENTAL HEALTH   (Australia)

^c UNIVERSITY OF MELBOURNE   (Australia)

^d CSIRO   (Australia)

^e Gachon University College of Medicine   (South Korea)

Author keywords

artifact removal; filtering; phase; susceptibility

Indexed keywords

BRAIN; FILTRATION; MAGNETIC RESONANCE; MAGNETIC SUSCEPTIBILITY;

ARTIFACT REMOVAL; CORTICAL REGIONS; CORTICAL SURFACES; GAUSSIAN FILTERING; PHASE; PHASE DISTORTIONS; PHASE PROCESSING; SPATIALLY VARYING PARAMETERS;

IMAGE ENHANCEMENT;

ARTICLE; ARTIFACT REDUCTION; BRAIN RADIOGRAPHY; DIGITAL FILTERING; GAUSSIAN FILTERING; IMAGE DISPLAY; IMAGE INTENSIFIER; IMAGE QUALITY; PROCESS MODEL;

EID: 80051698489     PISSN: 07403194     EISSN: 15222594     Source Type: Journal    
DOI: 10.1002/mrm.22825     Document Type: Article

References (37)

1. Duyn JH, van Gelderen P, Li T, de Zwart JA, Koretsky AP, Fukunaga M,. High-field MRI of brain cortical substructure based on signal phase. Proc Natl Acad Sci USA 2007; 104: 11796-11801. (Pubitemid 47175092)
2. Fischl B, Wald LL,. Phase maps reveal cortical architecture. Proc Natl Acad Sci USA 2007; 104: 11513-11514. (Pubitemid 47175044)
3. Cho Z, editor. 7.0 Tesla MRI brain atlas-in vivo atlas with cryomacrotome correlation. New York: Springer; 2010.
4. Reichenbach J, Venkatesan R, Schillinger D, Kido D, Haacke E,. Small vessels in the human brain: MR venography with deoxyhemoglobin as an intrinsic contrast agent. Radiology 1997; 204: 272-277. (Pubitemid 27281745)
5. Haacke EM, Xu Y, Cheng YN, Reichenbach JR,. Susceptibility weighted imaging (SWI). Magn Reson Med 2004; 52: 612-618. (Pubitemid 39108975)
6. Shmueli K, Zwart JAD, Gelderen PV, Li T, Dodd SJ, Duyn JH,. Magnetic susceptibility mapping of brain tissue in vivo using MRI phase data. Magn Reson Med 2009; 62: 1510-1522.
7. Liu T, Spincemaille P, Rochefort LD, Kressler B, Wang Y,. Calculation of susceptibility through multiple orientation sampling (COSMOS): A method for conditioning the inverse problem from measured magnetic field map to susceptibility source image in MRI. Magn Reson Med 2009; 61: 196-204.
8. Li L, Wang ZJ,. Magnetic susceptibility quantitation with MRI by solving boundary value problems. Med Phys 2003; 30: 449-453. (Pubitemid 36337112)
9. Koopmans P, Manniesing R, Niessen W, Viergever M, Barth M,. MR venography of the human brain using susceptibility weighted imaging at very high field strength. Magn Reson Mater Phy 2008; 21: 149-158.
10. Brainovich V, Sabatini U, Hagberg GE,. Advantages of using multiple-echo image combination and asymmetric triangular phase masking in magnetic resonance venography at 3 T. Magn Reson Imaging 2009; 27: 23-37.
11. Hermier M, Nighoghossian N,. Contribution of susceptibility-weighted imaging to acute stroke assessment. Stroke 2004; 35: 1989-1994. (Pubitemid 38971889)
12. Hammond KE, Lupo JM, Xu D, Metcalf M, Kelley DAC, Pelletier D, Chang SM, Mukherjee P, Vigneron DB, Nelson SJ,. Development of a robust method for generating 7.0 T multichannel phase images of the brain with application to normal volunteers and patients with neurological diseases. Neuroimage 2008; 39: 1682-1692.
13. Sehgal V, Delproposto Z, Haddar D, Haacke EM, Sloan AE, Zamorano LJ, Barger G, Hu J, Xu Y, Prabhakaran KP, Elangovan IR, Neelavalli J, Reichenbach JR,. Susceptibility-weighted imaging to visualize blood products and improve tumor contrast in the study of brain masses. J Magn Reson Imaging 2006; 24: 41-51.
14. Haacke EM, Ayaz M, Khan A, Manova ES, Krishnamurthy B, Gollapalli L, Ciulla C, Kim I, Petersen F, Kirsch W,. Establishing a baseline phase behavior in magnetic resonance imaging to determine normal vs. abnormal iron content in the brain. J Magn Reson Imaging 2007; 26: 256-264. (Pubitemid 47257722)
15. Rauscher A, Barth M, Herrmann K, Witoszynskyj S, Deistung A, Reichenbach JR,. Improved elimination of phase effects from background field inhomogeneities for susceptibility weighted imaging at high magnetic field strengths. Magn Reson Imaging 2008; 26: 1145-1151.
16. Noll D, Nishimura D, Macovski A,. Homodyne detection in magnetic resonance imaging. Med Imaging IEEE Trans 1991; 10: 154-163. (Pubitemid 21645553)
17. Rauscher A, Sedlacik J, Barth M, Mentzel H, Reichenbach JR,. Magnetic susceptibility-weighted MR phase imaging of the human brain. AJNR Am J Neuroradiol 2005; 26: 736-742. (Pubitemid 43079761)
18. Bagher-Ebadian H, Jiang Q, Ewing JR,. A modified fourier-based phase unwrapping algorithm with an application to MRI venography. J Magn Reson Imaging 2008; 27: 649-652. (Pubitemid 351354754)
19. Chavez S, Qing-San Xiang, An L,. Understanding phase maps in MRI: a new cutline phase unwrapping method. IEEE T Med Imaging 2002; 21: 966-977. (Pubitemid 35476600)
20. Langley J, Zhao Q,. Unwrapping magnetic resonance phase maps with Chebyshev polynomials. Magn Reson Imaging 2009; 27: 1293-1301.
21. Vidal-Pantaleoni A, Oviol R, Ferrando M,. A comparison of phase unwrapping techniques in synthetic aperture radar interferometry. In: Proceedings of the International Geoscience and Remote Sensing Symposium, Hamburg, Germany, 28 June to 2 July, 1999. pp 1354-1356.
22. Yamaki R, Hirose A,. Singularity-spreading phase unwrapping. IEEE T Geosci Remote 2007; 45: 3240-3251.
23. Asundi A, Wensen Z,. Fast phase-unwrapping algorithm based on a gray-scale mask and flood fill. Appl Opt 1998; 37: 5416-5420. (Pubitemid 128659355)
24. Schweser F, Lehr B, Deistung A, Reichenbach JR,. A novel approach for separation of background phase in SWI phase data utilizing the harmonic function mean value property. In: Proceedings of the ISMRM/ESMRMB Joint Annual Meeting, Stockholm, Sweden, May, 2010.
25. Wharton SJ, Bowtell RW,. Dipole-based filtering for improved removal of background field effects from 3D phase data. In: Proceedings of the ISMRM/ESMRMB Joint Annual Meeting, Stockholm, Sweden, May, 2010.
26. Liu T, Khalidov I, de Rochefort L, Spincemaille P, Liu J, Wang Y,. Improved background field correction using effective dipole fitting. In: Proceedings of the ISMRM/ESMRMB Joint Annual Meeting, Stockholm, Sweden, May, 2010.
27. Wang Y, Yu Y, Li D, Bae K, Brown J, Lin W, Haacke E,. Artery and vein separation using susceptibility-dependent phase in contrast-enhanced MRA. J Magn Reson Imaging 2000; 12: 661-670.
28. Jin Z, Xia L, Du YP,. Reduction of artifacts in susceptibility weighted MR venography of the brain. J Magn Reson Imaging 2008; 28: 327-333.
29. Neelavalli J, Cheng YN, Jiang J, Haacke EM,. Removing background phase variations in susceptibility-weighted imaging using a fast, forward-field calculation. J Magn Reson Imaging 2009; 29: 937-948.
30. Chan T, Vese L,. Active contours without edges. Image Process IEEE Trans 2001; 10: 266-277. (Pubitemid 32254596)
31. Jackson JD,. Classical electrodynamics, 3rd ed, New York: Wiley; 1998. pp 184-188.
32. Chen Z, Johnston LA, Kwon DH, Oh SH, Cho Z, Egan GF,. An optimised framework for reconstructing and processing MR phase images. NeuroImage 2010; 49: 1289-1300.
33. Witoszynskyj S, Rauscher A, Reichenbach JR, Barth M,. Phase unwrapping of MR images using [Phi]UN-a fast and robust region growing algorithm. Med Image Analysis 2009; 13: 257-268.
34. Coupe P, Yger P, Prima S, Hellier P, Kervrann C, Barillot C,. An optimized blockwise nonlocal means denoising filter for 3-D magnetic resonance images. Med Imaging IEEE Trans 2008; 27: 425-441. (Pubitemid 351479137)
35. Yang GZ, Burger P, Firmin DN, Underwood SR,. Structure adaptive anisotropic image filtering. Image Vision Comput 1996; 14: 135-145. (Pubitemid 126349523)
36. Wells W, Grimson W, Kikinis R, Jolesz F,. Adaptive segmentation of MRI data. Med Imaging IEEE Trans 1996; 15: 429-442. (Pubitemid 126780333)
37. Srivastava N, Trahan J, Vaidyanathan R, Rai S,. Adaptive image filtering using run-time reconfiguration. In: Proceedings of the International Parallel and Distributed Processing Symposium, Nice, France, April, 2003.