In-Vitro MPI-Guided IVOCT Catheter Tracking in Real Time for Motion Artifact Compensation
Florian Griese (1, 2), Sarah Latus (3), Matthias Schl\"uter (3),, Matthias Graeser (1, 2), Matthias Lutz (4), Alexander Schlaefer (3),, Tobias Knopp (1, 2) ((1) Section for Biomedical Imaging, University, Medical Center Hamburg-Eppendorf, Hamburg, Germany, (2) Institute for

TL;DR
This study demonstrates real-time MPI-guided tracking of IVOCT catheters in vitro, significantly reducing motion artifacts and improving image reconstruction accuracy in bimodal imaging.
Contribution
The paper introduces a novel MPI-guided catheter tracking method that effectively compensates for motion artifacts in IVOCT imaging, enhancing image quality.
Findings
MPI-guided tracking achieved a minimum DICE coefficient of 86%
Compared methods showed improved artifact correction with MPI guidance
Validated trajectory tracking with low error and standard deviation
Abstract
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…
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