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Abstract #4477

Combined Segmentation and Sequential Registration Method for Artifact Removal in ADC maps in Liver

Harini Veeraraghavan 1 , Joseph O. Deasy 1 , and Richard K.G. Do 1

1 Memorial Sloan Kettering Cancer Center, New York, New York, United States

Bulk motion artifacts adversely impact the reproducible measurement of ADCs in the liver. We present a combined segmentation and sequential registration to align multi b-valued DWI images that removes artifacts and computes repeatable ADC mappings. Our approach uses the automatic volumetric segmentation of structures of interest (tumor) with a sequential registration such that the artifacts are most removed around those structures. Evaluation over multiple trials with introduced motion on 14 patients show that our approach results in least artifacts and lowest standard deviation of mean ADC in the tumors compared to either no registration or simultaneous affine registration.

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