Abstract #3069
'Whole-Body PET/MR Imaging: Quantitative Evaluation of a Novel Model-based MR Attenuation Correction Method Including Bone
Daniel H Paulus 1 , Harald H Quick 1,2 , Matthias Fenchel 3 , Christian Geppert 3 , David Faul 4 , Yiqiang Zhan 5 , Fernando E Boada 6,7 , Kent L Friedman 6 , and Thomas Koesters 6,7
1
Institute of Medical Physics, University of
Erlangen-Nrnberg, Erlangen, Germany,
2
High
Field and Hybrid MR Imaging, University Hospital Essen,
Essen, Germany,
3
Siemens
AG Healthcare, Erlangen, Germany,
4
Siemens
AG Healthcare, New York, NY, United States,
5
Siemens
AG Healthcare, Malvern, PN, United States,
6
NYU
Langone Medical Center, Center for Biomedical Imaging,
Department of Radiology, New York, NY, United States,
7
NYU
Langone Medical Center, Center for Advanced Imaging
Innovation and Research, CAI2R, New York, NY, United
States
In whole-body hybrid PET/MR imaging, bone is currently
disregarded in attenuation correction. For head imaging,
several approaches have been proposed to consider bone,
but yet, not assigned to whole-body imaging. A novel
attenuation correction approach for hybrid PET/MR
imaging is presented and evaluated on 19 patients that
combines the routine Dixon-based soft tissue
segmentation with model-based bone estimation for
whole-body imaging. As a standard of reference, CT
images of each patient were non-rigidly registered to
the MR images. It is shown that the new method
significantly improves the PET quantification in bony
tissue, bone lesions, and tissue close to bone.
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.