Automatic Cardiac Self-Gating of Small-Animal PET Data

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Show simple item record Herraiz, J. L. Herranz, Elena Cal González, Jacobo Vaquero López, Juan José Desco Menéndez, Manuel Cusso Mula, Lorena Udías, José Manuel 2016-02-03T11:55:21Z 2017-03-01T23:00:08Z 2016-02
dc.identifier.bibliographicCitation Molecular Imaging and Biology, February 2016, vol .18, Issue 1, pp.109-116
dc.identifier.issn 1536-1632
dc.identifier.issn 1860-2002 (Online)
dc.description.abstract Purpose: The cardiac gating signal (CGS) in positron emission tomography (PET) studies is usually obtained from an electrocardiography (ECG) monitor. In this work, we propose a method to obtain the CGS in small-animal PET using the acquired list-mode data without using any hardware or end-user input. Procedures: The CGS was obtained from the number of coincidences over time acquired in the lines-of-response connected with the cardiac region. This region is identified in the image as its value changes with frequencies in the range of 3 to 12 Hz. The procedure was tested in a study with 29 Wistar rats and 6 mice injected with 2-deoxy-2-[18F]fluoro-D-glucose, which underwent a 45-min single-bed list-mode PET scan of the heart syncronized with an ECG. The estimated signals and the reconstructed images using eight-gated frames were compared with the ones obtained using the ECG signal from the monitor. Results: The differences of the PET-based CGS with respect to the ECG relative to the duration of the heartbeats were 5.6 % in rats and 11.0 % in mice. The reconstructed gated images obtained from the proposed method do not differ qualitatively with respect to the ones obtained with the ECG. The quantitative analysis of both set of images were performed measuring the volume of the left ventricle (LV) of the rats in the end-of-systole and end-of-diastole phase. The differences found in these parameters between both methods were below 12.1 % in the ESV and 9.3 % in the EDV with a 95 % confidence interval, which are comparable to the accuracy (7 %) of the method used for segmenting the LV. Conclusion: The proposed method is able to provide a valid and accurate CGS in small-animal PET list-mode data. the ones obtained using the ECG signal from the monitor.
dc.description.sponsorship This work was supported in part by Consejería de Educación, Juventud y Deporte de la Comunidad de Madrid (Spain) through the Madrid-MIT M+Visión Consortium, Comunidad de Madrid (S2013/MIT-3024 TOPUS-CM), UCM (Grupos UCM, 910059), CPAN (Consolider-Ingenio 2010, CSPD-2007-00042), RIC-RETIC network, Spanish MINECO (RD12/0042/0057),Ministerio de Ciencia e Innovación, Spanish Government (ENTEPRASE grant, PSE-300000-2009-5 and TEC2007-64731/TCM), and European Regional funds.
dc.format.extent 8
dc.format.mimetype application/pdf
dc.language.iso eng
dc.publisher Springer
dc.rights © World Molecular Imaging Society, 2015
dc.subject.other List-mode
dc.subject.other PET
dc.subject.other Small animal
dc.subject.other Cardiac gating
dc.subject.other Self-gating
dc.title Automatic Cardiac Self-Gating of Small-Animal PET Data
dc.type article
dc.subject.eciencia Medicina
dc.identifier.doi 10.1007/s11307-015-0868-y
dc.rights.accessRights openAccess
dc.relation.projectID Comunidad de Madrid. S2013/MIT-3024 TOPUS-CM
dc.relation.projectID Gobierno de España. TEC2007-64731/TCM
dc.relation.projectID Gobierno de España. PSE-300000-2009-5
dc.relation.projectID Gobierno de España. RETICS. RD12/0042/0057
dc.type.version acceptedVersion
dc.identifier.publicationfirstpage 109
dc.identifier.publicationissue 1
dc.identifier.publicationlastpage 116
dc.identifier.publicationtitle Molecular Imaging and Biology
dc.identifier.publicationvolume 8
dc.identifier.uxxi AR/0000017627
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