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  4. In-vitro MPI-guided IVOCT catheter tracking in real time for motion artifact compensation
 
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In-vitro MPI-guided IVOCT catheter tracking in real time for motion artifact compensation

Citation Link: https://doi.org/10.15480/882.2739
Publikationstyp
Journal Article
Date Issued
2020-03-31
Sprache
English
Author(s)
Griese, Florian  orcid-logo
Latus, Sarah  orcid-logo
Schlüter, Matthias  
Gräser, Matthias 
Lutz, Matthias  
Schlaefer, Alexander  
Knopp, Tobias  
Herausgeber*innen
Bauer, Wolfgang Rudolf  
Institut
Biomedizinische Bildgebung E-5  
Medizintechnische Systeme E-1  
TORE-DOI
10.15480/882.2739
TORE-URI
http://hdl.handle.net/11420/5732
Journal
PLOS ONE  
Volume
15
Issue
3
Start Page
1
End Page
17
Article Number
e0230821
Citation
PLoS ONE 3 (15): e0230821, 1-17 (2020)
Publisher DOI
10.1371/journal.pone.0230821
Scopus ID
2-s2.0-85082741410
Publisher
PLOS
Is Supplemented By
10.5281/zenodo.3554935
This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. 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.
DDC Class
600: Technik
610: Medizin
Funding(s)
Publikationsfonds 2020  
Lizenz
https://creativecommons.org/licenses/by/4.0/
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