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Shimming: Theory and Practice - UCLA-DOE

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Gradient <strong>Shimming</strong><br />

When gradshim is executed, an image (1D or 3D) is taken of the<br />

field using two echo delays (TE 1 <strong>and</strong> TE 2 ) as before.<br />

The image is compared to the field maps, <strong>and</strong> the computer calculates<br />

how best the change the shims to make the field homogeneous.;<br />

Heres how the calculation is done:<br />

Optimal shim settings are calculated by solving the following<br />

least-squares problem using singular value decomposition:<br />

S opt = arg. min. (||A . s – b|| 2 )<br />

where<br />

A = matrix of n column vectors, each one a vector of field changes per<br />

unit shim change for m spatial positions. n is the number of shims.<br />

b = vector of current field values for m spatial elements<br />

s = vector of n starting shim settings<br />

S opt = optimal shim settings

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