<HashMap><database>biostudies-literature</database><scores/><additional><omics_type>Unknown</omics_type><volume>9(9)</volume><submitter>Kamphuis ME</submitter><pubmed_abstract>This proof-of-concept study explores the multimodal application of a dedicated cardiac flow phantom for ground truth contrast measurements in dynamic myocardial perfusion imaging with CT, PET/CT, and MRI. A 3D-printed cardiac flow phantom and flow circuit mimics the shape of the left ventricular cavity (LVC) and three myocardial regions. The regions are filled with tissue-mimicking materials and the flow circuit regulates and measures contrast flow through LVC and myocardial regions. Normal tissue perfusion and perfusion deficits were simulated. Phantom measurements in PET/CT, CT, and MRI were evaluated with clinically used hardware and software. The reference arterial input flow was 4.0 L/min and myocardial flow 80 mL/min, corresponding to myocardial blood flow (MBF) of 1.6 mL/g/min. The phantom demonstrated successful completion of all processes involved in quantitative, multimodal myocardial perfusion imaging (MPI) applications. Contrast kinetics in time intensity curves were in line with expectations for a mimicked perfusion deficit (38 s vs. 32 s in normal tissue). Derived MBF in PET/CT and CT led to under- and overestimation of reference flow of 0.9 mL/g/min and 4.5 mL/g/min, respectively. Simulated perfusion deficit (0.8 mL/g/min) in CT resulted in MBF of 2.8 mL/g/min. We successfully performed initial, quantitative perfusion measurements with a dedicated phantom setup utilizing clinical hardware and software. These results showcase the multimodal phantom's potential.</pubmed_abstract><journal>Bioengineering (Basel, Switzerland)</journal><pagination>436</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC9495397</full_dataset_link><repository>biostudies-literature</repository><pubmed_title>A Multimodality Myocardial Perfusion Phantom: Initial Quantitative Imaging Results.</pubmed_title><pmcid>PMC9495397</pmcid><pubmed_authors>Slart RHJA</pubmed_authors><pubmed_authors>Simonis FFJ</pubmed_authors><pubmed_authors>Liefers HR</pubmed_authors><pubmed_authors>van Es J</pubmed_authors><pubmed_authors>Kuipers H</pubmed_authors><pubmed_authors>Slump CH</pubmed_authors><pubmed_authors>Greuter MJW</pubmed_authors><pubmed_authors>Kamphuis ME</pubmed_authors></additional><is_claimable>false</is_claimable><name>A Multimodality Myocardial Perfusion Phantom: Initial Quantitative Imaging Results.</name><description>This proof-of-concept study explores the multimodal application of a dedicated cardiac flow phantom for ground truth contrast measurements in dynamic myocardial perfusion imaging with CT, PET/CT, and MRI. A 3D-printed cardiac flow phantom and flow circuit mimics the shape of the left ventricular cavity (LVC) and three myocardial regions. The regions are filled with tissue-mimicking materials and the flow circuit regulates and measures contrast flow through LVC and myocardial regions. Normal tissue perfusion and perfusion deficits were simulated. Phantom measurements in PET/CT, CT, and MRI were evaluated with clinically used hardware and software. The reference arterial input flow was 4.0 L/min and myocardial flow 80 mL/min, corresponding to myocardial blood flow (MBF) of 1.6 mL/g/min. The phantom demonstrated successful completion of all processes involved in quantitative, multimodal myocardial perfusion imaging (MPI) applications. Contrast kinetics in time intensity curves were in line with expectations for a mimicked perfusion deficit (38 s vs. 32 s in normal tissue). Derived MBF in PET/CT and CT led to under- and overestimation of reference flow of 0.9 mL/g/min and 4.5 mL/g/min, respectively. Simulated perfusion deficit (0.8 mL/g/min) in CT resulted in MBF of 2.8 mL/g/min. We successfully performed initial, quantitative perfusion measurements with a dedicated phantom setup utilizing clinical hardware and software. These results showcase the multimodal phantom's potential.</description><dates><release>2022-01-01T00:00:00Z</release><publication>2022 Sep</publication><modification>2025-04-21T14:29:21.006Z</modification><creation>2025-04-21T14:29:21.006Z</creation></dates><accession>S-EPMC9495397</accession><cross_references><pubmed>36134982</pubmed><doi>10.3390/bioengineering9090436</doi></cross_references></HashMap>