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Bertsche D, Rasche V, Rottbauer W, Vernikouskaya I. 3D localization from 2D X-ray projection. Int J Comput Assist Radiol Surg 2022; 17:1553-1558. [PMID: 35819654 PMCID: PMC9463320 DOI: 10.1007/s11548-022-02709-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2022] [Accepted: 06/21/2022] [Indexed: 11/28/2022]
Abstract
PURPOSE Most cardiology procedures are guided using X-ray (XR) fluoroscopy. However, the projective nature of the XR fluoroscopy does not allow for true depth perception as required for safe and efficient intervention guidance in structural heart diseases. For improving guidance, different methods have been proposed often being radiation-intensive, time-consuming, or expensive. We propose a simple 3D localization method based on a single monoplane XR projection using a co-registered centerline model. METHODS The method is based on 3D anatomic surface models and corresponding centerlines generated from preprocedural imaging. After initial co-registration, 2D working points identified in monoplane XR projections are localized in 3D by minimizing the angle between the projection lines of the centerline points and the working points. The accuracy and reliability of the located 3D positions were assessed in 3D using phantom data and in patient data projected to 2D obtained during placement of embolic protection system in interventional procedures. RESULTS With the proposed methods, 2D working points identified in monoplane XR could be successfully located in the 3D phantom and in the patient-specific 3D anatomy. Accuracy in the phantom (3D) resulted in 1.6 mm (± 0.8 mm) on average, and 2.7 mm (± 1.3 mm) on average in the patient data (2D). CONCLUSION The use of co-registered centerline models allows reliable and accurate 3D localization of devices from a single monoplane XR projection during placement of the embolic protection system in TAVR. The extension to different vascular interventions and combination with automatic methods for device detection and registration might be promising.
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Affiliation(s)
- Dagmar Bertsche
- Department of Internal Medicine II, Ulm University Medical Center, Ulm, Germany
| | - Volker Rasche
- Department of Internal Medicine II, Ulm University Medical Center, Ulm, Germany
| | - Wolfgang Rottbauer
- Department of Internal Medicine II, Ulm University Medical Center, Ulm, Germany
| | - Ina Vernikouskaya
- Department of Internal Medicine II, Ulm University Medical Center, Ulm, Germany.
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Griese F, Latus S, Schlüter M, Graeser M, Lutz M, Schlaefer A, Knopp T. In-Vitro MPI-guided IVOCT catheter tracking in real time for motion artifact compensation. PLoS One 2020; 15:e0230821. [PMID: 32231378 PMCID: PMC7108728 DOI: 10.1371/journal.pone.0230821] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/28/2019] [Accepted: 03/09/2020] [Indexed: 11/18/2022] Open
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 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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Affiliation(s)
- Florian Griese
- Institute for Biomedical Imaging, Hamburg University of Technology, Hamburg, Germany
- Section for Biomedical Imaging, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
- * E-mail:
| | - Sarah Latus
- Institute of Medical Technology, Hamburg University of Technology, Hamburg, Germany
| | - Matthias Schlüter
- Institute of Medical Technology, Hamburg University of Technology, Hamburg, Germany
| | - Matthias Graeser
- Institute for Biomedical Imaging, Hamburg University of Technology, Hamburg, Germany
- Section for Biomedical Imaging, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Matthias Lutz
- Department of Internal Medicine, University Medical Center Schleswig-Holstein, Kiel, Germany
| | - Alexander Schlaefer
- Institute of Medical Technology, Hamburg University of Technology, Hamburg, Germany
| | - Tobias Knopp
- Institute for Biomedical Imaging, Hamburg University of Technology, Hamburg, Germany
- Section for Biomedical Imaging, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
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Reiber JHC, Pereira GTR, Bezerra HG, De Sutter J, Schoenhagen P, Stillman AE, Van de Veire NRL. Cardiovascular imaging 2018 in the International Journal of Cardiovascular Imaging. Int J Cardiovasc Imaging 2019; 35:1175-1188. [DOI: 10.1007/s10554-019-01579-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/01/2022]
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Latus S, Griese F, Schlüter M, Otte C, Möddel M, Graeser M, Saathoff T, Knopp T, Schlaefer A. Bimodal intravascular volumetric imaging combining OCT and MPI. Med Phys 2019; 46:1371-1383. [PMID: 30657597 DOI: 10.1002/mp.13388] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/26/2018] [Revised: 11/27/2018] [Accepted: 12/27/2018] [Indexed: 02/06/2023] Open
Abstract
PURPOSE Intravascular optical coherence tomography (IVOCT) is a catheter-based image modality allowing for high-resolution imaging of vessels. It is based on a fast sequential acquisition of A-scans with an axial spatial resolution in the range of 5-10 μm, that is, one order of magnitude higher than in conventional methods like intravascular ultrasound or computed tomography angiography. However, position and orientation of the catheter in patient coordinates cannot be obtained from the IVOCT measurements alone. Hence, the pose of the catheter needs to be established to correctly reconstruct the three-dimensional vessel shape. Magnetic particle imaging (MPI) is a three-dimensional tomographic, tracer-based, and radiation-free image modality providing high temporal resolution with unlimited penetration depth. Volumetric MPI images are angiographic and hence suitable to complement IVOCT as a comodality. We study simultaneous bimodal IVOCT MPI imaging with the goal of estimating the IVOCT pullback path based on the 3D MPI data. METHODS We present a setup to study and evaluate simultaneous IVOCT and MPI image acquisition of differently shaped vessel phantoms. First, the influence of the MPI tracer concentration on the optical properties required for IVOCT is analyzed. Second, using a concentration allowing for simultaneous imaging, IVOCT and MPI image data are acquired sequentially and simultaneously. Third, the luminal centerline is established from the MPI image volumes and used to estimate the catheter pullback trajectory for IVOCT image reconstruction. The image volumes are compared to the known shape of the phantoms. RESULTS We were able to identify a suitable MPI tracer concentration of 2.5 mmol/L with negligible influence on the IVOCT signal. The pullback trajectory estimated from MPI agrees well with the centerline of the phantoms. Its mean absolute error ranges from 0.27 to 0.28 mm and from 0.25 mm to 0.28 mm for sequential and simultaneous measurements, respectively. Likewise, reconstructing the shape of the vessel phantoms works well with mean absolute errors for the diameter ranging from 0.11 to 0.21 mm and from 0.06 to 0.14 mm for sequential and simultaneous measurements, respectively. CONCLUSIONS Magnetic particle imaging can be used in combination with IVOCT to estimate the catheter trajectory and the vessel shape with high precision and without ionizing radiation.
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Affiliation(s)
- Sarah Latus
- Institute of Medical Technology, Hamburg University of Technology, Hamburg, 21073, Germany
| | - Florian Griese
- Section for Biomedical Imaging, University Medical Center Hamburg-Eppendorf, Hamburg, 20246, Germany.,Institute for Biomedical Imaging, Hamburg University of Technology, Hamburg, 21073, Germany
| | - Matthias Schlüter
- Institute of Medical Technology, Hamburg University of Technology, Hamburg, 21073, Germany
| | - Christoph Otte
- Institute of Medical Technology, Hamburg University of Technology, Hamburg, 21073, Germany
| | - Martin Möddel
- Section for Biomedical Imaging, University Medical Center Hamburg-Eppendorf, Hamburg, 20246, Germany.,Institute for Biomedical Imaging, Hamburg University of Technology, Hamburg, 21073, Germany
| | - Matthias Graeser
- Section for Biomedical Imaging, University Medical Center Hamburg-Eppendorf, Hamburg, 20246, Germany.,Institute for Biomedical Imaging, Hamburg University of Technology, Hamburg, 21073, Germany
| | - Thore Saathoff
- Institute of Medical Technology, Hamburg University of Technology, Hamburg, 21073, Germany
| | - Tobias Knopp
- Section for Biomedical Imaging, University Medical Center Hamburg-Eppendorf, Hamburg, 20246, Germany.,Institute for Biomedical Imaging, Hamburg University of Technology, Hamburg, 21073, Germany
| | - Alexander Schlaefer
- Institute of Medical Technology, Hamburg University of Technology, Hamburg, 21073, Germany
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