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Journal Article

Development of a dedicated 3D printed myocardial perfusion phantom: proof-of-concept in dynamic SPECT

Marije E. Kamphuis; Gijs J. de Vries; Henny Kuipers; Marloes Saaltink; Jacqueline Verschoor; Marcel J. W. Greuter; Riemer H. J. A. Slart; Cornelis H. Slump
Medical & Biological Engineering & Computing · Vol. 60, Issue 6 · pp. 1541-1550 · 2022

Abstract

We aim to facilitate phantom-based (ground truth) evaluation of dynamic, quantitative myocardial perfusion imaging (MPI) applications. Current MPI phantoms are static representations or lack clinical hard- and software evaluation capabilities. This proof-of-concept study demonstrates the design, realisation and testing of a dedicated cardiac flow phantom. The 3D printed phantom mimics flow through a left ventricular cavity (LVC) and three myocardial segments. In the accompanying fluid circuit, tap water is pumped through the LVC and thereafter partially directed to the segments using adjustable resistances. Regulation hereof mimics perfusion deficit, whereby flow sensors serve as reference standard. Seven phantom measurements were performed while varying injected activity of 99m Tc-tetrofosmin (330–550 MBq), cardiac output (1.5–3.0 L/min) and myocardial segmental flows (50–150 mL/min). Image data from dynamic single photon emission computed tomography was analysed with clinical software. Derived time activity curves were reproducible, showing logical trends regarding selected input variables. A promising correlation was found between software computed myocardial flows and its reference ( $$\rho$$ ρ = − 0.98; p = 0.003). This proof-of-concept paper demonstrates we have successfully measured first-pass LV flow and myocardial perfusion in SPECT-MPI using a novel, dedicated, myocardial perfusion phantom. Graphical abstract This proof-of-concept study focuses on the development of a novel, dedicated myocardial perfusion phantom, ultimately aiming to contribute to the evaluation of quantitative myocardial perfusion imaging applications.

Bibliographic Information

JournalMedical & Biological Engineering & Computing
PublisherSpringer
Publication Date2022-06-01
Publication Year2022
Volume60
Issue6
Pages1541-1550
Document TypeJournal Article
Print ISSN0140-0118
eISSN1741-0444
DOI10.1007/s11517-021-02490-z

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NARA Access Coverage1963-01-01~Current
Journal Homepagehttps://www.springer.com/journal/11517
Publisher PageOpen Publisher Page
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