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
Impact Factor 2,481

eTOC

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

PDF  

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