Name
Abstract | ||
|---|---|---|
In magnetic resonance imaging (MRI), tissue magnetization in the main field B0 is a necessary preparation for magnetic resonance signal formation that imposes an inherent dipole effect on MRI signals, which predisposes an artifact on tissue MRI. In the MRI principle, T2*-weighted MRI can be described by a cascade of data transformations: from the source of tissue magnetic susceptibility (denoted by chi) to the output of complex-valued T2* image (in a magnitude and phase pair). Under the linear approximation of the T2* phase MRI, we can computationally reconstruct the source chi by quantitative susceptibility mapping (QSM), which is an inverse solution that is modeled by computed inverse MRI (CIMRI). For a brain function study using MRI (fMRI), we can reconstruct a timeseries of brain chi images to represent the intrinsic brain function activity called functional QSM (fQSM). This intrinsic depiction is defined as the removal of the artifactual dipole effect and other MRIintroduced distortions from phase data through inverse mapping. With one high-resolution QSM experiment and one group (20 subjects) low-resolution fQSM experiment, we show that the dipole effect manifests as ripples around vessels and a spatial split at a local activation blob and that the dipole effect could be removed by CIMRI. In the context of inverse imaging or undoing MRI transformations (including dipole convolution), we computationally achieve brain intrinsic structural depiction by QSM and intrinsic functional depiction by fQSM. |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1016/j.compbiomed.2021.104498 | COMPUTERS IN BIOLOGY AND MEDICINE |
Keywords | DocType | Volume |
T2*magnetic resonance imaging (T2*MRI), Magnitude and phase, Dipole effect, Dipole inversion, Quantitative susceptibility mapping (QSM), Functional QSM (fQSM), Computed inverse MRI (CIMRI) | Journal | 134 |
ISSN | Citations | PageRank |
0010-4825 | 0 | 0.34 |
References | Authors | |
0 | 2 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Zeyuan Chen | 1 | 6 | 4.83 |
| Zikuan Chen | 2 | 0 | 0.34 |