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뇌과학 이미징 연구단
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High-Resolution Numerical Simulation of Respiration-Induced Dynamic B0 Shift in the Head in High-Field MRI

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Title
High-Resolution Numerical Simulation of Respiration-Induced Dynamic B0 Shift in the Head in High-Field MRI
Author(s)
So-Hee Lee; Ji-Seong Barg; Seok-Jin Yeo; Seung-Kyun Lee
Publication Date
2019-03
Journal
INVESTIGATIVE MAGNETIC RESONANCE IMAGING, v.2019, no.23, pp.38 - 45
Publisher
Korean Society Of Magnetic Resonance In Medicine
Abstract
Copyright © 2019 Korean Society of Magnetic Resonance in Medicine (KSMRM) Purpose: To demonstrate the high-resolution numerical simulation of the respirationinduced dynamic B0 shift in the head using generalized susceptibility voxel convolution (gSVC). Materials and Methods: Previous dynamic B0 simulation research has been limited to low-resolution numerical models due to the large computational demands of conventional Fourier-based B0 calculation methods. Here, we show that a recentlyproposed gSVC method can simulate dynamic B0 maps from a realistic breathing human body model with high spatiotemporal resolution in a time-efficient manner. For a human body model, we used the Extended Cardiac And Torso (XCAT) phantom originally developed for computed tomography. The spatial resolution (voxel size) was kept isotropic and varied from 1 to 10 mm. We calculated B0 maps in the brain of the model at 10 equally spaced points in a respiration cycle and analyzed the spatial gradients of each of them. The results were compared with experimental measurements in the literature. Results: The simulation predicted a maximum temporal variation of the B0 shift in the brain of about 7 Hz at 7T. The magnitudes of the respiration-induced B0 gradient in the x (right/left), y (anterior/posterior), and z (head/feet) directions determined by volumetric linear fitting, were < 0.01 Hz/cm, 0.18 Hz/cm, and 0.26 Hz/cm, respectively. These compared favorably with previous reports. We found that simulation voxel sizes greater than 5 mm can produce unreliable results. Conclusion: We have presented an efficient simulation framework for respirationinduced B0 variation in the head. The method can be used to predict B0 shifts with high spatiotemporal resolution under different breathing conditions and aid in the design of dynamic B0 compensation strategies.
URI
https://pr.ibs.re.kr/handle/8788114/5895
ISSN
2384-1095
Appears in Collections:
Center for Neuroscience Imaging Research (뇌과학 이미징 연구단) > Journal Papers (저널논문)
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