Premium
Improved MR venography using quantitative susceptibility‐weighted imaging
Author(s) -
Liu Saifeng,
Mok Karen,
Neelavalli Jaladhar,
Cheng YuChung N.,
Tang Jin,
Ye Yongquan,
Haacke E. Mark
Publication year - 2014
Publication title -
journal of magnetic resonance imaging
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.563
H-Index - 160
eISSN - 1522-2586
pISSN - 1053-1807
DOI - 10.1002/jmri.24413
Subject(s) - susceptibility weighted imaging , visualization , artifact (error) , quantitative susceptibility mapping , cerebral veins , isotropy , weighting , medicine , computer science , nuclear medicine , magnetic resonance imaging , radiology , nuclear magnetic resonance , artificial intelligence , physics , optics
Purpose To remove the geometry dependence of phase‐based susceptibility weighting masks in susceptibility‐weighted imaging (SWI) and to improve the visualization of the veins and microbleeds. Materials and Methods True SWI (tSWI) was generated using susceptibility‐based masks. Simulations were used to evaluate the influence of the characteristic parameters defining the mask. In vivo data from three healthy adult human volunteers were used to compare the contrast‐to‐noise‐ratios (CNRs) of the right septal vein and the left internal cerebral vein as measured from both tSWI and SWI data. A traumatic brain injury (TBI) patient dataset was used to illustrate qualitatively the proper visualization of microbleeds using tSWI. Results Compared with conventional SWI, tSWI improved the CNR of the two selected veins by a factor of greater than three for datasets with isotropic resolution and greater than 30% for datasets with anisotropic resolution. Veins with different orientations can be properly enhanced in tSWI. Furthermore, the blooming artifact due to the strong dipolar phase of microbleeds in conventional SWI was reduced in tSWI for the TBI case. Conclusion The use of tSWI overcomes the geometric limitations of using phase and provides better visualization of the venous system, especially for data collected with isotropic resolution. J. Magn. Reson. Imaging 2014;40:698–708 . © 2013 Wiley Periodicals, Inc .