Filtered deconvolution of a simulated and an in vivo phase model of the human brain

Journal of Magnetic Resonance Imaging

Volumn 32, Issue 2, 2010, Pages 289-297

  Grabner, Günther ^a,b   Trattnig, Siegfried ^a   Barth, Markus ^b  

^a MEDICAL UNIVERSITY OF VIENNA   (Austria)

^b RADBOUD UNIVERSITY   (Netherlands)

Author keywords

Brain nuclei; Filtered deconvolution; ROI definition; Susceptibility weighted imaging

Indexed keywords

ARTICLE; BRAIN; BRAIN BLOOD VESSEL; CLINICAL ARTICLE; CONTROLLED STUDY; DIPOLE; FILTER; GRAY MATTER; HUMAN; IN VIVO STUDY; MAGNETIC FIELD; MODEL; NEUROIMAGING; NUCLEAR MAGNETIC RESONANCE IMAGING; PRIORITY JOURNAL; SIGNAL NOISE RATIO; SUSCEPTIBILITY WEIGHTED IMAGING; WHITE MATTER;

ALGORITHMS; BLOOD VESSELS; BRAIN; COMPUTER SIMULATION; FOURIER ANALYSIS; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; IMAGING, THREE-DIMENSIONAL; MAGNETIC RESONANCE IMAGING; MODELS, STATISTICAL; SOFTWARE;

EID: 77955402134     PISSN: 10531807     EISSN: 15222586     Source Type: Journal    
DOI: 10.1002/jmri.22246     Document Type: Article

References (39)

1. Koopmans PJ, Manniesing R, Niessen WJ, Viergever MA, 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.
2. Reichenbach JR, Barth M, Haacke EM, Klarhofer M, Kaiser WA, Moser E. High-resolution MR venography at 3.0 Tesla. J Comput Assist Tomogr 2000;24:949-957.
3. 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.
4. Haacke EM, Xu Y, Cheng YC, Reichenbach JR. Susceptibility weighted imaging (SWI). Magn Reson Med 2004;52:612-618.
5. Ogg RJ, Langston JW, Haacke EM, Steen RG, Taylor JS. The correlation between phase shifts in gradient-echo MR images and regional brain iron concentration. Magn Reson Imaging 1999;17: 1141-1148.
6. Rauscher A, Sedlacik J, Barth M, Mentzel HJ, Reichenbach JR. Magnetic susceptibility-weighted MR phase imaging of the human brain. AJNR Am J Neuroradiol 2005;26:736-742. (Pubitemid 43079761)
7. Barth M, Nobauer-Huhmann IM, Reichenbach JR, et al. High-resolution three-dimensional contrast-enhanced blood oxygenation level-dependent magnetic resonance venography of brain tumors at 3 Tesla: first clinical experience and comparison with 1.5 Tesla. Invest Radiol 2003;38:409-414.
8. Rauscher A, Sedlacik J, Fitzek C, et al. High resolution susceptibility weighted MR-imaging of brain tumors during the application of a gaseous agent. ROFO 2005;177:1065-1069.
9. Moenninghoff C, Maderwald S, Theysohn JM, et al. Imaging of adult astrocytic brain tumours with 7 T MRI: preliminary results. Eur Radiol 2009;20:704-713.
10. Sehgal V, Delproposto Z, Haddar D, et al. 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.
11. Witoszynskyj S, Rauscher A, Reichenbach JR, Barth M. Phase unwrapping of MR images using φ UN - a fast and robust region growing algorithm. Med Image Anal 2009;13:257-268.
12. Pathak AP, Ward BD, Schmainda KM. A novel technique for modeling susceptibility-based contrast mechanisms for arbitrary microvascular geometries: the finite perturber method. Neuroimage 2008;40:1130-1143.
13. Schäfer A, Wharton S, Gowland P, Bowtell R. Using magnetic field simulation to study susceptibility-related phase contrast in gradient echo MRI. Neuroimage 2009;48:126-137.
14. Schäfer A, Wharton S, Bowtell R. Calculation of susceptibility maps from phase image data. In: Proceedings of the 16th Annual Meeting of the ISMRM, Toronto, 2008. (abstract 641).
15. Beuf O, Briguet A, Lissac M, Davis R. Magnetic resonance imaging for the determination of magnetic susceptibility of materials. J Magn Reson 1996;112:111-118. (Pubitemid 126758713)
16. Cheng YC, Hsieh CY, Neelavalli J, Liu Q, Dawood MS, Haacke EM. A complex sum method of quantifying susceptibilities in cylindrical objects: the first step toward quantitative diagnosis of small objects in MRI. Magn Reson Imaging 2007;25:1171-1180.
17. Deistung A, Lehr BW, Schweser F, Reichenbach JR. Calculation of the magnetic susceptibility from susceptibility weighted phase images. In: Proceedings of the 17th Annual Meeting of the ISMRM, Honolulu, 2009. (abstract 2931).
18. Haacke EM, Cheng NY, House MJ, et al. Imaging iron stores in the brain using magnetic resonance imaging. Magn Reson Imaging 2005;23:1-25.
19. Kressler B, de Rochefort L, Liu T, Spincemaille P, Jiang Q, Wang Y. Nonlinear regularization for per voxel estimation of magnetic susceptibility distributions from MRI Field Maps. IEEE Trans Med Imaging 2010;29:273-281.
20. Li L. Magnetic susceptibility quantification for arbitrarily shaped objects in inhomogeneous fields. Magn Reson Med 2001;46: 907-916.
21. Liu T, Spincemaille P, de Rochefort L, 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.
22. Wang ZJ, Li S, Haselgrove JC. Magnetic resonance imaging measurement of volume magnetic susceptibility using a boundary condition. J Magn Reson 1999;140:477-481. (Pubitemid 129608310)
23. Weisskoff RM, Kiihne S. MRI susceptometry: image-based measurement of absolute susceptibility of MR contrast agents and human blood. Magn Reson Med 1992;24:375-383.
24. de Rochefort L, Brown R, Prince MR, Wang Y. Quantitative MR susceptibility mapping using piece-wise constant regularized inversion of the magnetic field. Magn Reson Med 2008;60: 1003-1009.
25. de Rochefort L, Liu T, Kressler B, et al. Quantitative susceptibility map reconstruction from MR phase data using bayesian regularization: validation and application to brain imaging. Magn Reson Med 2010;63:194-206.
26. Shmueli K, de Zwart JA, van Gelderen P, Li TQ, Dodd SJ, Duyn JH. Magnetic susceptibility mapping of brain tissue in vivo using MRI phase data. Magn Reson Med 2009;62:1510-1522.
27. Grabner G, Janke AL, Budge MM, Smith D, Pruessner J, Collins DL. Symmetric atlasing and model based segmentation: an application to the hippocampus in older adults. Med Image Comput Assist Interv 2006;9:58-66.
28. Grabner G, Haubenberger D, Rath J, et al. A Population-specific symmetric phase model to automatically analyze susceptibility-weighted imaging (SWI) phase shifts and phase symmetry in the human brain. J Magn Reson Imaging 2010;31:215-220.
29. Haacke EM, Ayaz M, Khan A, et al. 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.
30. Deistung A, Mentzel HJ, Rauscher A, Witoszynskyj S, Kaiser WA, Reichenbach JR. Demonstration of paramagnetic and diamagnetic cerebral lesions by using susceptibility weighted phase imaging (SWI). Z Med Phys 2006;16:261-267. (Pubitemid 46032055)
31. Haacke EM, Brown RW, Thompson MR, Venkatesan R. Magnetic resonance imaging: physical principles and sequence design. New York: Wiley-Liss; 1999. p 741-779.
32. Pintaske J, Muller-Bierl B, Schick F. Effect of spatial distribution of magnetic dipoles on Lamor frequency distribution and MR Signal decay - a numerical approach under static dephasing conditions. Magn Reson Mater Phy 2006;19:46-53.
33. Song X, Pogue BW, Jiang S, et al. Automated region detection based on the contrast-to-noise ratio in near-infrared tomography. Appl Opt 2004;43:1053-1062.
34. Wang Y, Yu Y, Li D, et al. Artery and vein separation using susceptibility-dependent phase in contrast-enhanced MRA. J Magn Reson Imaging 2000;12:661-670.
35. Noll DC, Nishimura DG, Macovski A. Homodyne detection in magnetic resonance imaging. IEEE Trans Med Imaging 1991;10:154-163. (Pubitemid 21645553)
36. Chavez S, Xiang QS, An L. Understanding phase maps in MRI: a new cutline phase unwrapping method. IEEE Trans Med Imaging 2002;21:966-977.
37. Descoteaux M, Collins DL, Siddiqi K. A geometric flow for segmenting vasculature in proton-density weighted MRI. Med Image Anal 2008;12:497-513.
38. Dice LR. Measures of the amount of ecologic association between species. Ecology 1945;26:297-302.
39. Denk C, Rauscher A. Susceptibility weighted imaging with multiple echoes. J Magn Reson Imaging;31:185-191.