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Data-driven respiratory gating for ventilation/perfusion lung scan

Title: Data-driven respiratory gating for ventilation/perfusion lung scan
Authors: Morland, David; Guendouzen, Sofiane; Rust, Edmond; Papathanassiou, Dimitri; Passat, Nicolas; Hubelé, Fabrice
Contributors: Département de Médecine Nucléaire, Institut Jean Godinot; Laboratoire de Biophysique; Université de Reims Champagne-Ardenne (URCA); Centre de Recherche en Sciences et Technologies de l'Information et de la Communication - EA 3804 (CRESTIC); Institut Jean Godinot Reims; UNICANCER; Service de Médecine Nucléaire, Clinique du Diaconat, Mulhouse; Service de Biophysique et Médecine Nucléaire; Centre Hospitalier Universitaire Strasbourg (CHU Strasbourg); Hôpitaux Universitaires de Strasbourg (HUS)-Hôpitaux Universitaires de Strasbourg (HUS)-Hôpital de Hautepierre Strasbourg; Hôpitaux Universitaires de Strasbourg (HUS)
Source: ISSN: 1824-4661.
Publisher Information: CCSD
Publication Year: 2019
Collection: Université de Reims Champagne-Ardenne: Archives Ouvertes (HAL)
Subject Terms: [SDV.IB.IMA]Life Sciences [q-bio]/Bioengineering/Imaging; [SDV.CAN]Life Sciences [q-bio]/Cancer
Description: International audience ; 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.
Document Type: article in journal/newspaper
Language: English
DOI: 10.23736/S1824-4785.18.03002-9
Availability: https://univ-reims.hal.science/hal-01766863; https://univ-reims.hal.science/hal-01766863v1/document; https://univ-reims.hal.science/hal-01766863v1/file/Morland%20QJNMMI%202018.pdf; https://doi.org/10.23736/S1824-4785.18.03002-9
Rights: https://about.hal.science/hal-authorisation-v1/ ; info:eu-repo/semantics/OpenAccess
Accession Number: edsbas.D70BD91C
Database: BASE