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. 2014 Jul 17;73(1):82–101. doi: 10.1002/mrm.25358

Figure 4.

Figure 4

The ill-posedness of the dipole inverse problem. The unit dipole field in sagittal section (i) and its surface rendered contour (ii). (iii) The zero cone surfacesInline graphic of the dipole kernel in k-space. (iv) Field map derived at signal-to-noise ratio (SNR) – 20 induced by a point source. (v, vi) Susceptibility in image space obtained by truncated k-space division with the thresholdInline graphic – 0 and 0.1. As a consequence of the dipole kernel zero behavior in the cone surface neighborhoodInline graphic, there is substantial noise propagation from the field measurements into the susceptibility estimate (40), as illustrated in an example of reconstruction by direct division (v and vi). A little noise added in the phase map (peak SNR – 20) leads to a totally corrupted susceptibility image that bears no physical resemblance to the true susceptibility source.