Fat-constrained 18F-FDG PET reconstruction using Dixon MR imaging and the origin ensemble algorithm

Christian Wülker; Susanne Heinzer; Peter Börnert; Steffen Renisch; Sven Prevrhal

doi:10.1117/12.2081161

18 March 2015 Fat-constrained ¹⁸F-FDG PET reconstruction using Dixon MR imaging and the origin ensemble algorithm

Christian Wülker, Susanne Heinzer, Peter Börnert, Steffen Renisch, Sven Prevrhal

Author Affiliations +

Proceedings Volume 9412, Medical Imaging 2015: Physics of Medical Imaging; 941208 (2015) https://doi.org/10.1117/12.2081161
Event: SPIE Medical Imaging, 2015, Orlando, Florida, United States

Abstract

Combined PET/MR imaging allows to incorporate the high-resolution anatomical information delivered by MRI into the PET reconstruction algorithm for improvement of PET accuracy beyond standard corrections. We used the working hypothesis that glucose uptake in adipose tissue is low. Thus, our aim was to shift ¹⁸F-FDG PET signal into image regions with a low fat content. Dixon MR imaging can be used to generate fat-only images via the water/fat chemical shift difference. On the other hand, the Origin Ensemble (OE) algorithm, a novel Markov chain Monte Carlo method, allows to reconstruct PET data without the use of forward- and back projection operations. By adequate modifications to the Markov chain transition kernel, it is possible to include anatomical a priori knowledge into the OE algorithm. In this work, we used the OE algorithm to reconstruct PET data of a modified IEC/NEMA Body Phantom simulating body water/fat composition. Reconstruction was performed 1) natively, 2) informed with the Dixon MR fat image to down-weight ¹⁸F-FDG signal in fatty tissue compartments in favor of adjacent regions, and 3) informed with the fat image to up-weight ¹⁸F-FDG signal in fatty tissue compartments, for control purposes. Image intensity profiles confirmed the visibly improved contrast and reduced partial volume effect at water/fat interfaces. We observed a 17±2% increased SNR of hot lesions surrounded by fat, while image quality was almost completely retained in fat-free image regions. An additional in vivo experiment proved the applicability of the presented technique in practice, and again verified the beneficial impact of fat-constrained OE reconstruction on PET image quality.

Citation Download Citation

Christian Wülker, Susanne Heinzer, Peter Börnert, Steffen Renisch, and Sven Prevrhal "Fat-constrained ¹⁸F-FDG PET reconstruction using Dixon MR imaging and the origin ensemble algorithm", Proc. SPIE 9412, Medical Imaging 2015: Physics of Medical Imaging, 941208 (18 March 2015); https://doi.org/10.1117/12.2081161

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

;

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available

Members: $17.00

Non-members: $21.00 ADD TO CART

PROCEEDINGS
7 PAGES

DOWNLOAD PAPER SAVE TO MY LIBRARY

GET CITATION

RIGHTS & PERMISSIONS

Get copyright permission Get copyright permission on Copyright Marketplace

KEYWORDS

Positron emission tomography

Reconstruction algorithms

Magnetic resonance imaging

Optical spheres

Image quality

Tissues

Expectation maximization algorithms

Show All Keywords

Keywords/Phrases

Search In:

Publication Years