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In-Vitro MPI-guided IVOCT catheter tracking in real time for motion artifact compensation

PURPOSE: Using 4D magnetic particle imaging (MPI), intravascular optical coherence tomography (IVOCT) catheters are tracked in real time in order to compensate for image artifacts related to relative motion. Our approach demonstrates the feasibility for bimodal IVOCT and MPI in-vitro experiments. MA...

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Autores principales: Griese, Florian, Latus, Sarah, Schlüter, Matthias, Graeser, Matthias, Lutz, Matthias, Schlaefer, Alexander, Knopp, Tobias
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7108728/
https://www.ncbi.nlm.nih.gov/pubmed/32231378
http://dx.doi.org/10.1371/journal.pone.0230821
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author Griese, Florian
Latus, Sarah
Schlüter, Matthias
Graeser, Matthias
Lutz, Matthias
Schlaefer, Alexander
Knopp, Tobias
author_facet Griese, Florian
Latus, Sarah
Schlüter, Matthias
Graeser, Matthias
Lutz, Matthias
Schlaefer, Alexander
Knopp, Tobias
author_sort Griese, Florian
collection PubMed
description PURPOSE: Using 4D magnetic particle imaging (MPI), intravascular optical coherence tomography (IVOCT) catheters are tracked in real time in order to compensate for image artifacts related to relative motion. Our approach demonstrates the feasibility for bimodal IVOCT and MPI in-vitro experiments. MATERIAL AND METHODS: During IVOCT imaging of a stenosis phantom the catheter is tracked using MPI. A 4D trajectory of the catheter tip is determined from the MPI data using center of mass sub-voxel strategies. A custom built IVOCT imaging adapter is used to perform different catheter motion profiles: no motion artifacts, motion artifacts due to catheter bending, and heart beat motion artifacts. Two IVOCT volume reconstruction methods are compared qualitatively and quantitatively using the DICE metric and the known stenosis length. RESULTS: The MPI-tracked trajectory of the IVOCT catheter is validated in multiple repeated measurements calculating the absolute mean error and standard deviation. Both volume reconstruction methods are compared and analyzed whether they are capable of compensating the motion artifacts. The novel approach of MPI-guided catheter tracking corrects motion artifacts leading to a DICE coefficient with a minimum of 86% in comparison to 58% for a standard reconstruction approach. CONCLUSIONS: IVOCT catheter tracking with MPI in real time is an auspicious method for radiation free MPI-guided IVOCT interventions. The combination of MPI and IVOCT can help to reduce motion artifacts due to catheter bending and heart beat for optimized IVOCT volume reconstructions.
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spelling pubmed-71087282020-04-03 In-Vitro MPI-guided IVOCT catheter tracking in real time for motion artifact compensation Griese, Florian Latus, Sarah Schlüter, Matthias Graeser, Matthias Lutz, Matthias Schlaefer, Alexander Knopp, Tobias PLoS One Research Article PURPOSE: Using 4D magnetic particle imaging (MPI), intravascular optical coherence tomography (IVOCT) catheters are tracked in real time in order to compensate for image artifacts related to relative motion. Our approach demonstrates the feasibility for bimodal IVOCT and MPI in-vitro experiments. MATERIAL AND METHODS: During IVOCT imaging of a stenosis phantom the catheter is tracked using MPI. A 4D trajectory of the catheter tip is determined from the MPI data using center of mass sub-voxel strategies. A custom built IVOCT imaging adapter is used to perform different catheter motion profiles: no motion artifacts, motion artifacts due to catheter bending, and heart beat motion artifacts. Two IVOCT volume reconstruction methods are compared qualitatively and quantitatively using the DICE metric and the known stenosis length. RESULTS: The MPI-tracked trajectory of the IVOCT catheter is validated in multiple repeated measurements calculating the absolute mean error and standard deviation. Both volume reconstruction methods are compared and analyzed whether they are capable of compensating the motion artifacts. The novel approach of MPI-guided catheter tracking corrects motion artifacts leading to a DICE coefficient with a minimum of 86% in comparison to 58% for a standard reconstruction approach. CONCLUSIONS: IVOCT catheter tracking with MPI in real time is an auspicious method for radiation free MPI-guided IVOCT interventions. The combination of MPI and IVOCT can help to reduce motion artifacts due to catheter bending and heart beat for optimized IVOCT volume reconstructions. Public Library of Science 2020-03-31 /pmc/articles/PMC7108728/ /pubmed/32231378 http://dx.doi.org/10.1371/journal.pone.0230821 Text en © 2020 Griese et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Griese, Florian
Latus, Sarah
Schlüter, Matthias
Graeser, Matthias
Lutz, Matthias
Schlaefer, Alexander
Knopp, Tobias
In-Vitro MPI-guided IVOCT catheter tracking in real time for motion artifact compensation
title In-Vitro MPI-guided IVOCT catheter tracking in real time for motion artifact compensation
title_full In-Vitro MPI-guided IVOCT catheter tracking in real time for motion artifact compensation
title_fullStr In-Vitro MPI-guided IVOCT catheter tracking in real time for motion artifact compensation
title_full_unstemmed In-Vitro MPI-guided IVOCT catheter tracking in real time for motion artifact compensation
title_short In-Vitro MPI-guided IVOCT catheter tracking in real time for motion artifact compensation
title_sort in-vitro mpi-guided ivoct catheter tracking in real time for motion artifact compensation
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7108728/
https://www.ncbi.nlm.nih.gov/pubmed/32231378
http://dx.doi.org/10.1371/journal.pone.0230821
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