We used numerical simulations to study the relationship between attainable field homogeneity and the number as well as the orientation of shim coils in a multi-coil shim array. We found
Scientific and clinical applications of MRI require a highly homogeneous magnetic field (B0). The inhomogeneity of B0, can cause NMR signal reduction, MRI distortion, and MRS spectral line width increase.1 Localized shimming using multiple coils2, 3 has been demonstrated as a promising technology to reduce B0 inhomogeneity. It generates a compensating field to counter-act the off-resonance B0 measured by field mapping. Intuitively, more channels in a multi-coil (MC) shim array allows a higher degree of freedom in designing the shimming field.2 However, the performance gain is expected to be marginal when the number of the shim coil is beyond a certain number. Previous MC shimming only arranged coils by tessellating the surface of the imaging object by individual shim coils. 3,5-6 How the orientations of shim coils affect the shimming performance remains unexplored.
Here we attempt to answer this question by numerical analysis. Specifically, magnetic fields generated by up to 4401 shimming coils allowing for different orientations and positions on a brain surface were calculated to optimize the B0 homogeneity. At each shim coil location, up to three orthogonal shim coils were used to design the shimming current. Based on the simulation result, we propose a new RF-Shim coil design, where the shimming current path and the RF receiving coil are arranged on two different orthogonal planes.
Off-resonance field-maps were acquired from 9 healthy subjects. Forty slices of a dual-echo gradient echo images (2x2x2 mm3 voxel; TR = 10ms; TE1 = 2.00ms; TE2 = 4.46ms; Flip angle = 15°) were acquired on a 3T scanner (Skyra, Siemens, Erlangen, Germany) after applying the system’s second-order Spherical Harmonic (SH) global shimming. An off-resonance field map was calculated by measuring the phase accrued between two TE’s at each voxel 7. An average off-resonance field-map, was created by first morphing individual’s off-resonance map on a common coordinate system and then averaging across subjects.
The magnetic field from each circular shimming coil was calculated by the Biot-Savart’s law. Shimming coil positions were restricted on a close-fitting helmet surface. Three MC arrays with 102, 380 or 1467 coil positions were simulated. At each shim coil position, we allowed three orthogonal planes to place the shim coil. One plane (Orientation1, OR1) has the normal direction of the coil plane at the center of the shim coil pointing toward the center of the FOV center (the imaging object was placed at the center of the FOV). The other two orthogonal coils planes were referred to as orientation 2 and 3. The radius of each shim coil was adjusted to cover the helmet surface (20, 10 or 5mm). Definitions of shim coil orientations and examples of shimming arrays were shown in Fig.1a. The standard deviation of B0 (σB0) within the whole imaging object was calculated to assess the performance of shimming.
Our RF-shim coil was based up on a conventional circular receiver coil, and the shim current plane was perpendicular to the RF coil plane. The normal direction of the shim coil plane was either in parallel (1TurnP or 2TurnsP) or perpendicular (1Turn or 2Turns) to B0 (Fig.1b). SNR maps were separately measured for an RF coil and modified RF-Shim coils using a GRE sequence (0.7x0.7x5mm3; TR = 462ms; TE = 10ms; Flip angle = 25°). The coil noise map was measured by using the same sequence with the flip angle set to 0 degree. Coil field-maps were acquired using the same dual-echo GRE mentioned above. All RF-shim coils shared the same circular receiver coil.
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