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
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.
This abstract and the presentation materials are available to members only;
a login is required.