An improved complex image combination algorithm for SEMAC

A denoising algorithm to improve complex summation of spectral images for Slice Encoding for Metal Artifact Correction (SEMAC) sequence is presented. In SEMAC, multiple spectral images are collected, and combined together to image spins with a huge resonance frequency variation around metallic implants. The complex summation has not been often used for combining these spectral images because of a serious SNR degradation even though its image sharpness around the metal is better than other combination methods. Here we introduce a new image combination algorithm to improve the SNR for the complex summation to provide both sharpness and high SNR.

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