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Abstract #3540

Joint estimation of image content and field inhomogeneity for artifact correction near metallic implants

Alexander R Toews1,2, Daehyun Yoon1, and Brian A Hargreaves1,2,3
1Radiology, Stanford University, Stanford, CA, United States, 2Electrical Engineering, Stanford University, Stanford, CA, United States, 3Bioengineering, Stanford University, Stanford, CA, United States

Multispectral imaging sequences mitigate geometric distortion near metallic implants at the expense of readout blur and residual intensity artifacts. To address these limitations, a method for jointly estimating the image content and field inhomogeneity near metal is presented. A dual polarity readout acquisition is used to provide sufficient conditioning for the estimation problem. The method is studied in simulation as well as in a physical phantom consisting of a shoulder implant embedded in a resolution grid. Results indicate that the method can greatly reduce readout blur and in some cases eliminate residual intensity artifacts.

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