Bertolli, O;
Arridge, S;
Stearns, CW;
Wollenweber, SD;
Hutton, BF;
Thielemans, K;
(2016)
Sign determination methods for the respiratory signal in data-driven PET gating.
In:
2015 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC).
(pp. pp. 1411-1413).
Institute of Electrical and Electronics Engineers (IEEE)
Preview |
Text
Bertolli_Sign_determination_methods.pdf - Accepted Version Download (824kB) | Preview |
Abstract
Respiratory motion correction in PET imaging is of crucial importance in the thorax. On current scanners, respiratory gating is performed based on the signal of an external device. Recent methods extract a respiratory signal from raw PET data exploiting data driven (DD) methods, avoiding the use of external equipment and having potential increased fidelity to internal motion. However, many of these DD methods determine the signal up to an arbitrary scale factor: it is not known if maxima and minima in the signal are related to end-inspiration or end-expiration states, possibly causing inaccurate motion correction. The aim of this work is to propose methods based on PCA and compare their performance on clinical data with other existing methods based on registration of reconstructed gates.
| Type: | Proceedings paper |
|---|---|
| Title: | Sign determination methods for the respiratory signal in data-driven PET gating |
| Event: | 2015 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC), 31 October - 7 November 2015, San Diego, California, USA |
| Location: | San Diego, California, USA |
| Dates: | 31 October 2015 - 07 November 2015 |
| ISBN-13: | 9781467398626 |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1109/NSSMIC.2015.7582098 |
| Publisher version: | https://doi.org/10.1109/NSSMIC.2015.7582098 |
| Language: | English |
| Additional information: | This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions. |
| Keywords: | Principal component analysis, Correlation, Positron emission tomography, Image reconstruction, Logic gates, Physics, Biomedical imaging, PCA, PET, respiratory motion, data driven gating |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Medical Sciences UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Medical Sciences > Div of Medicine UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Medical Sciences > Div of Medicine > Department of Imaging UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Computer Science |
| URI: | https://discovery.ucl.ac.uk/id/eprint/1529605 |
Archive Staff Only
 |
View Item |
