Journal of Nuclear Cardiology

, Volume 24, Issue 4, pp 1216–1225 | Cite as

Impact of respiratory motion correction on SPECT myocardial perfusion imaging using a mechanically moving phantom assembly with variable cardiac defects

  • Irene PolycarpouEmail author
  • Isabelle Chrysanthou-Baustert
  • Ourania Demetriadou
  • Yiannis Parpottas
  • Christoforos Panagidis
  • Paul K. Marsden
  • Lefteris Livieratos
Original Article



The aim of this study was to determine the impact of respiratory motion correction on SPECT MPI and on defect detection using a phantom assembly.


SPECT/CT data were acquired using an anthropomorphic phantom with inflatable lungs and with an ECG beating and moving cardiac compartment. The heart motion followed the respiratory pattern in the cranio-caudal direction to simulate normal or deep breathing. Small or large transmural defects were inserted into the myocardial wall of the left ventricle. SPECT/CT images were acquired for each of the four respiratory phases, from exhale to inhale. A respiratory motion correction was applied using an image-based method with transformation parameters derived from the SPECT data by a non-rigid registration algorithm. A report on defect detection from two physicians and a quantitative analysis on MPI data were performed before and after applying motion correction.


Respiratory motion correction eliminated artifacts present in the images, resulting in a uniform uptake and reduction of motion blurring, especially in the inferior and anterior regions of the LV myocardial walls. The physicians’ report after motion correction showed that images were corrected for motion.


A combination of motion correction with attenuation correction reduces artifacts in SPECT MPI. AC-SPECT images with and without motion correction should be simultaneously inspected to report on small defects.


SPECT/CT myocardial perfusion defects motion correction cranio-caudal cardiac motion 



Single-photon emission computed tomography


Computed tomography


Attenuation correction


Myocardial perfusion imaging


Programmable logic controller


Motion correction


Left ventricle



We gratefully acknowledge the Nuclear Medicine Department of the Nicosia General Hospital (Andreas Mormoris, Chariklia Christodoulou, Lambros Lambrou, Charoula Charalambous) for helping in acquisitions. We also thank Guy’s and St Thomas Hospitals NHS Foundation Trust (Steve Turner, Bill Stevens) for optimizing the cardiac holder. The Project ΥΓΕΙΑ/ΔΥΓΕΙΑ/0311(ΒΙΕ)/27, with Host Organization the Frederick Research Center and Partner Organizations the Cyprus Ministry of Health and the King’s College London, was co-financed by the European Regional Development Fund and the Republic of Cyprus through the Research Promotion Foundation.


The authors declared that they have no conflict of interest.


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Copyright information

© American Society of Nuclear Cardiology 2015

Authors and Affiliations

  • Irene Polycarpou
    • 1
    • 2
    Email author
  • Isabelle Chrysanthou-Baustert
    • 3
  • Ourania Demetriadou
    • 4
  • Yiannis Parpottas
    • 3
    • 5
  • Christoforos Panagidis
    • 6
  • Paul K. Marsden
    • 1
  • Lefteris Livieratos
    • 1
    • 7
  1. 1.Division of Imaging Sciences and Biomedical EngineeringKing’s College LondonLondonUnited Kingdom
  2. 2.Department of Health SciencesEuropean University CyprusNicosiaCyprus
  3. 3.Frederick Research CenterNicosiaCyprus
  4. 4.Department of Nuclear MedicineLimassol General HospitalLimassolCyprus
  5. 5.General Department (Physics-Mathematics)Frederick UniversityNicosiaCyprus
  6. 6.Department of Nuclear MedicineNicosia General HospitalNicosiaCyprus
  7. 7.Guy’s and St Thomas’ Hospitals NHS Foundation TrustLondonUnited Kingdom

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