TY - JOUR
T1 - Joint MR-PET Reconstruction Using a Multi-Channel Image Regularizer
AU - Knoll, Florian
AU - Holler, Martin
AU - Koesters, Thomas
AU - Otazo, Ricardo
AU - Bredies, Kristian
AU - Sodickson, Daniel K.
N1 - Funding Information:
This work was performed under the rubric of the Center for Advanced Imaging Innovation and Research, a NIBIB Biomedical Technology Resource Center (NIH P41 EB017183). This work was supported by grant NIH R01 EB000447 and SFB F32.
Publisher Copyright:
© 1982-2012 IEEE.
PY - 2017/1
Y1 - 2017/1
N2 - While current state of the art MR-PET scanners enable simultaneous MR and PET measurements, the acquired data sets are still usually reconstructed separately. We propose a new multi-modality reconstruction framework using second order Total Generalized Variation (TGV) as a dedicated multi-channel regularization functional that jointly reconstructs images from both modalities. In this way, information about the underlying anatomy is shared during the image reconstruction process while unique differences are preserved. Results from numerical simulations and in-vivo experiments using a range of accelerated MR acquisitions and different MR image contrasts demonstrate improved PET image quality, resolution, and quantitative accuracy.
AB - While current state of the art MR-PET scanners enable simultaneous MR and PET measurements, the acquired data sets are still usually reconstructed separately. We propose a new multi-modality reconstruction framework using second order Total Generalized Variation (TGV) as a dedicated multi-channel regularization functional that jointly reconstructs images from both modalities. In this way, information about the underlying anatomy is shared during the image reconstruction process while unique differences are preserved. Results from numerical simulations and in-vivo experiments using a range of accelerated MR acquisitions and different MR image contrasts demonstrate improved PET image quality, resolution, and quantitative accuracy.
KW - Iterative image reconstruction
KW - MR-PET
KW - multi-modality imaging
KW - total generalized variation
KW - variational regularization methods
UR - http://www.scopus.com/inward/record.url?scp=85012952348&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85012952348&partnerID=8YFLogxK
U2 - 10.1109/TMI.2016.2564989
DO - 10.1109/TMI.2016.2564989
M3 - Article
C2 - 28055827
AN - SCOPUS:85012952348
SN - 0278-0062
VL - 36
SP - 1
EP - 16
JO - IEEE Transactions on Medical Imaging
JF - IEEE Transactions on Medical Imaging
IS - 1
M1 - 7466848
ER -