LOW RESOLUTION SUSCEPTIBILITY MAPPING IN THE ESTIMATION OF IRON CONTENT IN DEEP GREY MATTER OF BRAIN AT 3 TESLA
作者： Muhammad Arshad Javid , Muhammad Afzal Khan , Zahid Latif , Jeam H Barbosa , Ahmad Shaheen
DOI:
关键词:
摘要: Objective: The objective of this study is to determine the effect low resolutionin estimation iron content in deep grey matter brain usingquantitative susceptibility mapping. Methodology: Six females with mean age 43.16, S.D= 20, range (23-66) and 13 males 28.92 + 8.14 were scanned 3D SWIsequence at 3 Tesla (Trio-Seimens, Erlangen, Germany). caudate nucleus,red nucleus, globus pallidus, putamen, white matter, thalamus substantianigra drawn manually based on their anatomical locationsin Signal Processing Nuclear Magnetic Resonance (SPIN). Magnitude andphase images high resolution (HR) (0.5x0.5x2 mm3) processed SPINusing collapsing parameter generate (LR) (1x1x2 mm3)susceptibility Data was analyzed using paired t-test. Results: A strong linear correlation (R2=0.99, p ≤ 0.05) found betweenthe susceptibilities Deep Grey Matter (DGM) versus highresolution which showed consistency both resolution.When ppb DGM correlated content(mgFe/100g), a positive R-saqure (R2=0.67, ≥0.05 HR, R2=0.66, ≥ 0.05 LR). slope above correlationwas consistent equivalent trend QSM. Conclusion: Linear between HRand LR has demonstrated that QSM holds ofsusceptibility does not affect greymatter brain.
参考文章(23)
Pierre Kornprobst, Thierry Viéville, S. Sunaert, R. Peeters, P. van Hecke, Grégoire Malandain, S. Mierisova, Olivier Faugeras, Superresolution in MRI and its influence in statistical analysis INRIA. ,(2002)
Günther Grabner, Dietrich Haubenberger, Jakob Rath, Roland Beisteiner, Eduard Auff, Siegfried Trattnig, Markus Barth, A population-specific symmetric phase model to automatically analyze susceptibility-weighted imaging (SWI) phase shifts and phase symmetry in the human brain Journal of Magnetic Resonance Imaging. ,vol. 31, pp. 215- 220 ,(2010) , 10.1002/JMRI.22013
Eyal Carmi, Siuyan Liu, Noga Alon, Amos Fiat, Daniel Fiat, Resolution enhancement in MRI Magnetic Resonance Imaging. ,vol. 24, pp. 133- 154 ,(2006) , 10.1016/J.MRI.2005.09.011
Ferdinand Schweser, Karsten Sommer, Andreas Deistung, Jürgen Rainer Reichenbach, Quantitative susceptibility mapping for investigating subtle susceptibility variations in the human brain. NeuroImage. ,vol. 62, pp. 2083- 2100 ,(2012) , 10.1016/J.NEUROIMAGE.2012.05.067
Karin Shmueli, Jacco A. de Zwart, Peter van Gelderen, Tie-Qiang Li, Stephen J. Dodd, Jeff H. Duyn, Magnetic susceptibility mapping of brain tissue in vivo using MRI phase data Magnetic Resonance in Medicine. ,vol. 62, pp. 1510- 1522 ,(2009) , 10.1002/MRM.22135
Christian Langkammer, Nikolaus Krebs, Walter Goessler, Eva Scheurer, Kathrin Yen, Franz Fazekas, Stefan Ropele, Susceptibility induced gray-white matter MRI contrast in the human brain. NeuroImage. ,vol. 59, pp. 1413- 1419 ,(2012) , 10.1016/J.NEUROIMAGE.2011.08.045
Yulin Ge, JH Jensen, H Lu, JA Helpern, L Miles, M Inglese, JS Babb, J Herbert, RI Grossman, None, Quantitative assessment of iron accumulation in the deep gray matter of multiple sclerosis by magnetic field correlation imaging. American Journal of Neuroradiology. ,vol. 28, pp. 1639- 1644 ,(2007) , 10.3174/AJNR.A0646
Michael Khalil, Charlotte Teunissen, Christian Langkammer, Iron and Neurodegeneration in Multiple Sclerosis Multiple Sclerosis International. ,vol. 2011, pp. 606807- 606807 ,(2011) , 10.1155/2011/606807
B. Hallgren, P. Sourander, The effect of age on the non-haemin iron in the human brain. Journal of Neurochemistry. ,vol. 3, pp. 41- 51 ,(1958) , 10.1111/J.1471-4159.1958.TB12607.X
Sam Wharton, Richard Bowtell, Whole-brain susceptibility mapping at high field: a comparison of multiple- and single-orientation methods. NeuroImage. ,vol. 53, pp. 515- 525 ,(2010) , 10.1016/J.NEUROIMAGE.2010.06.070