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Sign determination methods for the respiratory signal in data-driven PET gating

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) Green open access

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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 > Provost and Vice Provost Offices
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 > Metabolism and Experi Therapeutics
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: http://discovery.ucl.ac.uk/id/eprint/1529605
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