PT  - JOURNAL ARTICLE
AU  - Sven Prevrhal
AU  - Susanne Heinzer
AU  - Christian Wülker
AU  - Steffen Renisch
AU  - Osman Ratib
AU  - Peter Börnert
TI  - Fat-Constrained <sup>18</sup>F-FDG PET Reconstruction in Hybrid PET/MR Imaging
AID  - 10.2967/jnumed.114.139758
DP  - 2014 Oct 01
TA  - Journal of Nuclear Medicine
PG  - 1643--1649
VI  - 55
IP  - 10
4099  - http://jnm.snmjournals.org/content/55/10/1643.short
4100  - http://jnm.snmjournals.org/content/55/10/1643.full
SO  - J Nucl Med2014 Oct 01; 55
AB  - Fusion of information from PET and MR imaging can increase the diagnostic value of both modalities. This work sought to improve 18F FDG PET image quality by using MR Dixon fat-constrained images to constrain PET image reconstruction to low-fat regions, with the working hypothesis that fatty tissue metabolism is low in glucose consumption. Methods: A novel constrained PET reconstruction algorithm was implemented via a modification of the system matrix in list-mode time-of-flight ordered-subsets expectation maximization reconstruction, similar to the way time-of-flight weighting is incorporated. To demonstrate its use in PET/MR imaging, we modeled a constraint based on fat/water-separating Dixon MR images that shift activity away from regions of fat tissue during PET image reconstruction. PET and MR imaging scans of a modified National Electrical Manufacturers Association/International Electrotechnical Commission body phantom simulating body fat/water composition and in vivo experiments on 2 oncology patients were performed on a commercial time-of-flight PET/MR imaging system. Results: Fat-constrained PET reconstruction visibly and quantitatively increased resolution and contrast between high-uptake and fatty-tissue regions without significantly affecting the images in nonfat regions. Conclusion: The incorporation of MR tissue information, such as fat, in image reconstruction can improve the quality of PET images. The combination of a variety of potential other MR tissue characteristics with PET represents a further justification for merging MR data with PET data in hybrid systems.