2017 IEEE 14th International Symposium on Biomedical Imaging (ISBI 2017) 2017
DOI: 10.1109/isbi.2017.7950508
|View full text |Cite
|
Sign up to set email alerts
|

MR-based attenuation map re-alignment and motion correction in simultaneous brain MR-PET imaging

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2

Citation Types

0
2
0

Year Published

2018
2018
2019
2019

Publication Types

Select...
2
1

Relationship

3
0

Authors

Journals

citations
Cited by 3 publications
(2 citation statements)
references
References 8 publications
0
2
0
Order By: Relevance
“…For the dynamic FDG-fPET analysis, PET list mode data were binned into 95 one minute frames. All data were reconstructed offline using the e7tools software (provided by Siemens) and corrected for attenuation using pseudoCT (23) and motion (24). Note that this motion correction algorithm corrects across the entire PET experiment, unlike other methods that only correct during T2* MR acquisition.…”
Section: Pet Image Reconstructionmentioning
confidence: 99%
“…For the dynamic FDG-fPET analysis, PET list mode data were binned into 95 one minute frames. All data were reconstructed offline using the e7tools software (provided by Siemens) and corrected for attenuation using pseudoCT (23) and motion (24). Note that this motion correction algorithm corrects across the entire PET experiment, unlike other methods that only correct during T2* MR acquisition.…”
Section: Pet Image Reconstructionmentioning
confidence: 99%
“…For the dynamic FDG-fPET analysis, PET list mode data were binned into 95 one minute frames. All data were reconstructed offline using the e7tools software (provided by Siemens) and corrected for attenuation using pseudoCT (23) and motion (24). Note that this motion correction algorithm corrects across the entire PET experiment, unlike other methods that only correct during T2* MR acquisition.…”
Section: Pet Image Reconstructionmentioning
confidence: 99%