Quantitative Analysis of 3D Artery Volume Reconstructions Using Biplane Angiography and Intravascular OCT Imaging
| Autor: | Matthias Lutz, Maximilian Neidhardt, Sarah Latus, Norbert Frey, Alexander Schlaefer, Nils Gessert |
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| Rok vydání: | 2019 |
| Předmět: |
Coronary angiography
Computer science Biplane angiography Iterative reconstruction 030204 cardiovascular system & hematology Coronary Angiography Imaging phantom 030218 nuclear medicine & medical imaging 03 medical and health sciences Imaging Three-Dimensional 0302 clinical medicine medicine Image resolution medicine.diagnostic_test Phantoms Imaging Angiography medicine.disease Coronary Vessels Coronary arteries Stenosis Catheter medicine.anatomical_structure Tomography Artifacts Tomography Optical Coherence Biomedical engineering Volume (compression) Artery |
| Zdroj: | EMBC |
| DOI: | 10.1109/embc.2019.8857712 |
| Popis: | Diameter and volume are frequently used parameters for cardiovascular diagnosis, e.g., to identify a stenosis of the coronary arteries. Intra-vascular OCT imaging has a high spatial resolution and promises accurate estimates of the vessel diameter. However, the actual images are reconstructed from A-scans relative to the catheter tip and imaging is subject to rotational artifacts. We study the impact of different volume reconstruction approaches on the accuracy of the vessel shape estimate. Using X-ray angiography we obtain the 3D vessel centerline and the 3D catheter trajectory, and we propose to align the A-scans using both. For comparison we consider reconstruction along a straight line and along the centerline. All methods are evaluated based on an experimental setup using a clinical angiography system and a vessel phantom with known shape. Our results illustrate potential pitfalls in the estimation of the vessel shape, particularly when the vessel is curved. We demonstrate that the conventional reconstruction approaches may result in an overestimate of the cross-section and that the proposed approach results in a good shape agreement in general and for curver segments, with DICE coefficients of approximately 0.96 and 0.98, respectively. |
| Databáze: | OpenAIRE |
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