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

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.

How to access this content:

For one year after publication, abstracts and videos are only open to registrants of this annual meeting. Registrants should use their existing login information. Non-registrant access can be purchased via the ISMRM E-Library.

After one year, current ISMRM & ISMRT members get free access to both the abstracts and videos. Non-members and non-registrants must purchase access via the ISMRM E-Library.

After two years, the meeting proceedings (abstracts) are opened to the public and require no login information. Videos remain behind password for access by members, registrants and E-Library customers.

Click here for more information on becoming a member.