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Magnetic susceptibility

Sources of B0 Inhomogeneities

NeuroPoly Lab, Polytechnique Montreal, Quebec, Canada

Materials have a property called magnetic susceptibility () that reflects their ability to become magnetized in response to an external magnetic field Schenck, 1996. The change in magnetic field Bz (the subscript “z” is shown to make it explicit that we are referring to the component parallel to the B0 field) is proportional to the magnetic susceptibility value, the magnetic field strength, and can be affected by the geometry and location of the tissues. It can be modeled as a convolution of the difference in magnetic susceptibility with the component parallel to the magnetic field induced by a unit magnetic dipole (d=(3cos2(θ)1)4πr3d=\frac{\left( 3\text{cos}^{2}\left( \theta \right)-1 \right)}{4\pi\left| \textbf{r} \right|^{3}}) in spherical coordinates where r \textbf{r} is the position vector and is the angle with B0 Rochefort et al., 2008.

ΔBz(r)=B0(Δχ(r)d(r))\Delta B_{z}\left( \textbf{r} \right)=B_{0}\left( \Delta\chi \left( \textbf{r} \right) \otimes d \left( \textbf{r} \right)\right)

The dipole kernel (d) is illustrated in Figure 5.2 along with the dipole kernel (D) in the k-space domain often used in QSM.

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Figure 5.2:Dipole kernel (d) in the image domain as well as in the k-space domain (D).

When a subject is introduced in the scanner, it interacts with the B0 field and distorts it. Therefore, a perfectly homogeneous field in an empty bore will usually have an inhomogeneous B0 field once a patient is introduced. This is the reason why active shimming is required when a patient is introduced in the scanner. Although these inhomogeneities happen everywhere in the body, stronger field variations occur at the boundaries of strong susceptibility differences such as air (slightly paramagnetic: +χ+\chi) and water/tissue (diamagnetic: χ-\chi).

The following figure shows different susceptibility distributions in ppm for a homogeneous cylinder within a larger homogeneous cylinder placed in a homogeneous background (top) and a brain (bottom). The corresponding B0 field maps are simulated at 7 T and shown in Figure 5.3. In the brain, the B0 field inhomogeneities are dominated by air-tissue boundaries. On the right-hand panel, the slow varying spatial variations (also called background field) were removed to show the local field variations.

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Figure 5.3:Cylinder (top) and brain (bottom) of susceptibility distributions (left), simulated B0 field map (middle) and the B0 field map with the background field removed (right). An in-vivo susceptibility map was used for the brain and was surrounded by a bone interface, a tissue interface and the rest of the FOV was filled with air. Note that this simplistic representation still shows the field map being dominated by air-tissue interfaces even though the spatial characteristics of the field are not perfectly representative of reality. This dataset was introduced in this publication Lüsebrink et al., 2021 and is publicly available Lüsebrink et al., 2020OpenNeuro, n.d.. An in-vivo field map can be seen in Figure 5.9.

References
  1. Schenck, J. F. (1996). The role of magnetic susceptibility in magnetic resonance imaging: MRI magnetic compatibility of the first and second kinds. Med. Phys., 23(6), 815–850.
  2. de Rochefort, L., Nguyen, T., Brown, R., Spincemaille, P., Choi, G., Weinsaft, J., Prince, M. R., & Wang, Y. (2008). In vivo quantification of contrast agent concentration using the induced magnetic field for time-resolved arterial input function measurement with MRI. Med. Phys., 35(12), 5328–5339.
  3. Lüsebrink, F., Mattern, H., Yakupov, R., Acosta-Cabronero, J., Ashtarayeh, M., Oeltze-Jafra, S., & Speck, O. (2021). Comprehensive ultrahigh resolution whole brain in vivo MRI dataset as a human phantom. Sci Data, 8(1), 138.
  4. Lüsebrink, F., Mattern, H., Yakupov, R., Acosta-Cabronero, J., Ashtarayeh, M., Oeltze-Jafra, S., & Speck, O. (2020). Data from: Comprehensive ultrahigh resolution whole brain in vivo MRI dataset as a human phantom.
  5. OpenNeuro. (n.d.). 10.18112/openneuro.ds003563.v1.0.1