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THE QUARTERLY JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING

Rivista di Medicina Nucleare e Imaging Molecolare


A Journal on Nuclear Medicine and Molecular Imaging
Affiliated to the Society of Radiopharmaceutical Sciences and to the International Research Group of Immunoscintigraphy
Indexed/Abstracted in: Current Contents/Clinical Medicine, EMBASE, PubMed/MEDLINE, Science Citation Index (SciSearch), Scopus
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The Quarterly Journal of Nuclear Medicine and Molecular Imaging 2018 Feb 05

DOI: 10.23736/S1824-4785.18.03002-9

Copyright © 2018 EDIZIONI MINERVA MEDICA

lingua: Inglese

Data-driven respiratory gating for ventilation/perfusion lung scan

David MORLAND 1, 2, 3 , Sofiane GUENDOUZEN 4, Edmond RUST 5, Dimitri PAPATHANASSIOU 1, 2, 3, Nicolas PASSAT 3, Fabrice HUBELÉ 6

1 Unité de Médecine Nucléaire, Institut Jean Godinot, Reims, France; 2 Laboratoire de Biophysique, UFR de Médecine, Université de Reims Champagne-Ardenne, Reims, France; 3 CReSTIC, Centre de Recherche en Sciences et Technologies de l’Information et de la Communication, EA 3804, Université de Reims Champagne-Ardenne, Reims, France; 4 Radiophysique, Institut Jean Godinot, Reims, France; 5 Service de Médecine Nucléaire, Clinique du Diaconat, Mulhouse, France; 6 Service de Biophysique et Médecine Nucléaire, Hôpitaux Universitaires de Strasbourg, Strasbourg, France


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BACKGROUND: Ventilation/perfusion lung scan is subject to blur due to respiratory motion whether with planar acquisition or single photon emission computed tomography (SPECT). We propose a data- driven gating method for extracting different respiratory phases from lung scan list-mode or dynamic data.
METHODS: The algorithm derives a surrogate respiratory signal from an automatically detected diaphragmatic region of interest. The time activity curve generated is then filtered using a Savitzky- Golay filter. We tested this method on an oscillating phantom in order to evaluate motion blur decrease and on one lung SPECT.
RESULTS: Our algorithm reduced motion blur on phantom acquisition: mean full width at half maximum 8.1 pixels on non-gated acquisition versus 5.3 pixels on gated acquisition and 4.1 pixels on reference image. Automated detection of the diaphragmatic region and time-activity curves generation were successful on patient acquisition.
CONCLUSIONS: This algorithm is compatible with a clinical use considering its runtime. Further studies will be needed in order to validate this method.


KEY WORDS: Data-driven - Gating - Nuclear Medicine - SPECT

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Publication History

Article first published online: February 5, 2018
Manuscript accepted: February 2, 2018
Manuscript revised: January 15, 2018
Manuscript received: May 3, 2017

Per citare questo articolo

Morland D, Guendouzen S, Rust E, Papathanassiou D, Passat N, Hubelé F. Data-driven respiratory gating for ventilation/perfusion lung scan. Q J Nucl Med Mol Imaging 2018 Feb 05. DOI: 10.23736/S1824-4785.18.03002-9

Corresponding author e-mail

david.morland@reims.unicancer.fr