Constraining OCT with Knowledge of Device Design Enables High Accuracy Hemodynamic Assessment of Endovascular Implants
Background: Stacking cross-sectional intravascular images permits three-dimensional rendering of endovascular implants, yet introduces between-frame uncertainties that limit characterization of device placement and the hemodynamic microenvironment. In a porcine coronary stent model, we demonstrate...
| Main Authors: | , , , , , , , |
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| Format: | Article |
| Language: | en_US |
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Public Library of Science
2016
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| Online Access: | http://hdl.handle.net/1721.1/103764 https://orcid.org/0000-0003-0525-4723 https://orcid.org/0000-0002-7832-7156 https://orcid.org/0000-0002-2890-2319 |
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| author | O’Brien, Caroline C. Kolandaivelu, Kumaran Brown, Jonathan Lopes, Augusto Celso de Araujo Kunio, Mie Kolachalama, Vijaya Bhasker Edelman, Elazer R. O'Brien, Caroline C. |
| author2 | Institute for Medical Engineering and Science |
| author_facet | Institute for Medical Engineering and Science O’Brien, Caroline C. Kolandaivelu, Kumaran Brown, Jonathan Lopes, Augusto Celso de Araujo Kunio, Mie Kolachalama, Vijaya Bhasker Edelman, Elazer R. O'Brien, Caroline C. |
| author_sort | O’Brien, Caroline C. |
| collection | MIT |
| description | Background:
Stacking cross-sectional intravascular images permits three-dimensional rendering of endovascular implants, yet introduces between-frame uncertainties that limit characterization of device placement and the hemodynamic microenvironment. In a porcine coronary stent model, we demonstrate enhanced OCT reconstruction with preservation of between-frame features through fusion with angiography and a priori knowledge of stent design.
Methods and Results:
Strut positions were extracted from sequential OCT frames. Reconstruction with standard interpolation generated discontinuous stent structures. By computationally constraining interpolation to known stent skeletons fitted to 3D ‘clouds’ of OCT-Angio-derived struts, implant anatomy was resolved, accurately rendering features from implant diameter and curvature (n = 1 vessels, r2 = 0.91, 0.90, respectively) to individual strut-wall configurations (average displacement error ~15 μm). This framework facilitated hemodynamic simulation (n = 1 vessel), showing the critical importance of accurate anatomic rendering in characterizing both quantitative and basic qualitative flow patterns. Discontinuities with standard approaches systematically introduced noise and bias, poorly capturing regional flow effects. In contrast, the enhanced method preserved multi-scale (local strut to regional stent) flow interactions, demonstrating the impact of regional contexts in defining the hemodynamic consequence of local deployment errors.
Conclusion:
Fusion of planar angiography and knowledge of device design permits enhanced OCT image analysis of in situ tissue-device interactions. Given emerging interests in simulation-derived hemodynamic assessment as surrogate measures of biological risk, such fused modalities offer a new window into patient-specific implant environments. |
| first_indexed | 2024-09-23T12:06:03Z |
| format | Article |
| id | mit-1721.1/103764 |
| institution | Massachusetts Institute of Technology |
| language | en_US |
| last_indexed | 2024-09-23T12:06:03Z |
| publishDate | 2016 |
| publisher | Public Library of Science |
| record_format | dspace |
| spelling | mit-1721.1/1037642022-10-01T08:09:20Z Constraining OCT with Knowledge of Device Design Enables High Accuracy Hemodynamic Assessment of Endovascular Implants O’Brien, Caroline C. Kolandaivelu, Kumaran Brown, Jonathan Lopes, Augusto Celso de Araujo Kunio, Mie Kolachalama, Vijaya Bhasker Edelman, Elazer R. O'Brien, Caroline C. Institute for Medical Engineering and Science Charles Stark Draper Laboratory O'Brien, Caroline C. Kolandaivelu, Kumaran Brown, Jonathan Lopes, Augusto Celso de Araujo Kunio, Mie Kolachalama, Vijaya Bhasker Edelman, Elazer R. Background: Stacking cross-sectional intravascular images permits three-dimensional rendering of endovascular implants, yet introduces between-frame uncertainties that limit characterization of device placement and the hemodynamic microenvironment. In a porcine coronary stent model, we demonstrate enhanced OCT reconstruction with preservation of between-frame features through fusion with angiography and a priori knowledge of stent design. Methods and Results: Strut positions were extracted from sequential OCT frames. Reconstruction with standard interpolation generated discontinuous stent structures. By computationally constraining interpolation to known stent skeletons fitted to 3D ‘clouds’ of OCT-Angio-derived struts, implant anatomy was resolved, accurately rendering features from implant diameter and curvature (n = 1 vessels, r2 = 0.91, 0.90, respectively) to individual strut-wall configurations (average displacement error ~15 μm). This framework facilitated hemodynamic simulation (n = 1 vessel), showing the critical importance of accurate anatomic rendering in characterizing both quantitative and basic qualitative flow patterns. Discontinuities with standard approaches systematically introduced noise and bias, poorly capturing regional flow effects. In contrast, the enhanced method preserved multi-scale (local strut to regional stent) flow interactions, demonstrating the impact of regional contexts in defining the hemodynamic consequence of local deployment errors. Conclusion: Fusion of planar angiography and knowledge of device design permits enhanced OCT image analysis of in situ tissue-device interactions. Given emerging interests in simulation-derived hemodynamic assessment as surrogate measures of biological risk, such fused modalities offer a new window into patient-specific implant environments. National Institutes of Health (U.S.) (NIH grant R01 GM-49039) American Heart Association (AHA FTF Award (12FTF12080241)) Brazilian Society of Hemodynamics and Interventional Cardiology (Siguemituzo Arie Research Fellowship) 2016-07-19T17:36:47Z 2016-07-19T17:36:47Z 2016-02 2015-07 Article http://purl.org/eprint/type/JournalArticle 1932-6203 http://hdl.handle.net/1721.1/103764 O’Brien, Caroline C., Kumaran Kolandaivelu, Jonathan Brown, Augusto C. Lopes, Mie Kunio, Vijaya B. Kolachalama, and Elazer R. Edelman. “Constraining OCT with Knowledge of Device Design Enables High Accuracy Hemodynamic Assessment of Endovascular Implants.” Edited by Josué Sznitman. PLoS ONE 11, no. 2 (February 23, 2016): e0149178. https://orcid.org/0000-0003-0525-4723 https://orcid.org/0000-0002-7832-7156 https://orcid.org/0000-0002-2890-2319 en_US http://dx.doi.org/10.1371/journal.pone.0149178 PLOS ONE Creative Commons Attribution http://creativecommons.org/licenses/by/4.0/ application/pdf Public Library of Science Public Library of Science |
| spellingShingle | O’Brien, Caroline C. Kolandaivelu, Kumaran Brown, Jonathan Lopes, Augusto Celso de Araujo Kunio, Mie Kolachalama, Vijaya Bhasker Edelman, Elazer R. O'Brien, Caroline C. Constraining OCT with Knowledge of Device Design Enables High Accuracy Hemodynamic Assessment of Endovascular Implants |
| title | Constraining OCT with Knowledge of Device Design Enables High Accuracy Hemodynamic Assessment of Endovascular Implants |
| title_full | Constraining OCT with Knowledge of Device Design Enables High Accuracy Hemodynamic Assessment of Endovascular Implants |
| title_fullStr | Constraining OCT with Knowledge of Device Design Enables High Accuracy Hemodynamic Assessment of Endovascular Implants |
| title_full_unstemmed | Constraining OCT with Knowledge of Device Design Enables High Accuracy Hemodynamic Assessment of Endovascular Implants |
| title_short | Constraining OCT with Knowledge of Device Design Enables High Accuracy Hemodynamic Assessment of Endovascular Implants |
| title_sort | constraining oct with knowledge of device design enables high accuracy hemodynamic assessment of endovascular implants |
| url | http://hdl.handle.net/1721.1/103764 https://orcid.org/0000-0003-0525-4723 https://orcid.org/0000-0002-7832-7156 https://orcid.org/0000-0002-2890-2319 |
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