Abstract #4249

Respiratory Motion Compensation for Simultaneous PET/MR Using Strongly Undersampled MR Data

Christopher M Rank¹, Thorsten Heußer¹, Andreas Wetscherek¹, Martin T Freitag², Heinz-Peter Schlemmer², and Marc Kachelrieß¹

¹Medical Physics in Radiology, German Cancer Research Center (DKFZ), Heidelberg, Germany, ²Radiology, German Cancer Research Center (DKFZ), Heidelberg, Germany

To allow for MR acquisition times as short as 1 minute per bed, we propose a new method for PET/MR respiratory motion compensation (MoCo), which is based on strongly undersampled radial MR data. We acquired simultaneous PET/MR data of the thorax of three patients. Motion vector fields were estimated with a newly-developed algorithm, which alternates between MR image reconstruction and motion estimation. Subsequent 4D MoCo PET reconstructions employing the motion vector field derived from strongly undersampled MR data yielded a considerable visual and quantitative improvement compared to standard 3D PET and 4D gated PET reconstructions.

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.