2014
DOI: 10.1186/2197-7364-1-s1-a53
|View full text |Cite
|
Sign up to set email alerts
|

PET motion correction using MR-derived motion parameters

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1

Citation Types

0
3
0

Year Published

2015
2015
2019
2019

Publication Types

Select...
2

Relationship

0
2

Authors

Journals

citations
Cited by 2 publications
(3 citation statements)
references
References 4 publications
0
3
0
Order By: Relevance
“…Previous studies that have used MRI based approaches for motion correction in hybrid PET/MRI of the brain were also successful in correcting the PET data (Catana et al 2011, Bickell et al 2014, Huang et al 2014b, Chen et al 2018. These applications however used the MRI solely for the purposes of motion correction and did not acquire any diagnostic MR images.…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…Previous studies that have used MRI based approaches for motion correction in hybrid PET/MRI of the brain were also successful in correcting the PET data (Catana et al 2011, Bickell et al 2014, Huang et al 2014b, Chen et al 2018. These applications however used the MRI solely for the purposes of motion correction and did not acquire any diagnostic MR images.…”
Section: Discussionmentioning
confidence: 99%
“…While successful at respiratory motion correction, these techniques are not suitable for the spontaneous and unpredictable motion that can occur during head imaging. Previous studies which have successfully developed MRI based motion correction techniques for brain PET using navigators (Catana et al 2011), image registration (Bickell et al 2014, Chen et al 2018 and active markers (Huang et al 2014a), used the MRI solely for motion correction and did not acquire diagnostic MRI images simultaneously with the PET.…”
Section: Introductionmentioning
confidence: 99%
“…PET-MR is a hybrid imaging modality that has generated substantial interest in recent years. This marriage of two modalities with very different physics allows the development of many novel synergistic techniques and applications including MR-assisted PET motion correction (Bickell et al 2014, Fayad et al 2014, Polycarpou et al 2014, Fürst et al 2015, MR-assisted partial volume correction (Wang and Fei 2012, Bickell et al 2014, Yan et al 2015, PET guided MR spectroscopy (Zhang et al 2014), and PET-MR joint reconstruction (Knoll et al 2014).…”
Section: Introductionmentioning
confidence: 99%