Name
Abstract | ||
|---|---|---|
Respiratory motion during PET acquisition leads to blurring in images and quantification underestimation. We propose a practical, anatomy independent MR-based correction strategy for PET data affected by motion, and show it can improve image quality for both PET acquired simultaneously to the motion-capturing MR, and for PET acquired up to 1 hour earlier during a clinical scan. For our method, a short additional PET/MR sequence is acquired to form a patient-specific MR-based motion model, with a PET-derived respiratory signal and a gradient echo 2D multi-slice sequence. To evaluate our method, uncorrected and motion-corrected images are compared using line profiles, and quantitatively with SUVpeak in avid lesions. We show that clinical PET image quality can be improved using only a short additional PET/MR acquisition with no external respiratory hardware, standard MR sequences and an open registration method. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1109/ISBI.2015.7164181 | IEEE International Symposium on Biomedical Imaging |
Field | DocType | ISSN |
Iterative reconstruction,Nuclear medicine,Medical imaging,Respiratory motion,Computer science,Image quality,Positron emission tomography | Conference | 1945-7928 |
Citations | PageRank | References |
0 | 0.34 | 1 |
Authors | ||
9 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Richard Manber | 1 | 0 | 0.34 |
| David Atkinson | 2 | 67 | 6.89 |
| Kris Thielemans | 3 | 3 | 3.43 |
| Brian F. Hutton | 4 | 98 | 14.33 |
| Anna Barnes | 5 | 55 | 5.07 |
| Celia O'Meara | 6 | 0 | 0.34 |
| Simon Wan | 7 | 0 | 0.34 |
| Sébastien Ourselin | 8 | 2499 | 237.61 |
| Simon R Arridge | 9 | 532 | 74.17 |