Integrated particle image velocimetry and fluid–structure interaction analysis for patient-specific abdominal aortic aneurysm studies
Abstract Background Understanding the hemodynamics of an abdominal aortic aneurysm (AAA) is crucial for risk assessment and treatment planning. This study introduces a low-cost, patient-specific in vitro AAA model to investigate hemodynamics using particle image velocimetry (PIV) and flow-simulating...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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BMC
2023-12-01
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| Series: | BioMedical Engineering OnLine |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s12938-023-01179-8 |
| _version_ | 1797414491595472896 |
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| author | Can Özcan Özgür Kocatürk Civan Işlak Cengizhan Öztürk |
| author_facet | Can Özcan Özgür Kocatürk Civan Işlak Cengizhan Öztürk |
| author_sort | Can Özcan |
| collection | DOAJ |
| description | Abstract Background Understanding the hemodynamics of an abdominal aortic aneurysm (AAA) is crucial for risk assessment and treatment planning. This study introduces a low-cost, patient-specific in vitro AAA model to investigate hemodynamics using particle image velocimetry (PIV) and flow-simulating circuit, validated through fluid–structure interaction (FSI) simulations. Methods In this study, 3D printing was employed to manufacture a flexible patient-specific AAA phantom using a lost-core casting technique. A pulsatile flow circuit was constructed using off-the-shelf components. A particle image velocimetry (PIV) setup was built using an affordable laser source and global shutter camera, and finally, the flow field inside the AAA was analyzed using open-source software. Fluid–structure interaction (FSI) simulations were performed to enhance our understanding of the flow field, and the results were validated by PIV analysis. Both steady-state and transient flow conditions were investigated. Results Our experimental setup replicated physiological conditions, analyzing arterial wall deformations and flow characteristics within the aneurysm. Under constant flow, peak wall deformations and flow velocities showed deviations within − 12% to + 27% and − 7% to + 5%, respectively, compared to FSI simulations. Pulsatile flow conditions further demonstrated a strong correlation (Pearson coefficient 0.85) in flow velocities and vectors throughout the cardiac cycle. Transient phenomena, particularly the formation and progression of vortex structures during systole, were consistently depicted between experimental and numerical models. Conclusions By bridging high-fidelity experimental observations with comprehensive computational analyses, this study underscores the potential of integrated methodologies in enhancing our understanding of AAA pathophysiology. The convergence of realistic AAA phantoms, precise PIV measurements at affordable cost point, and validated FSI models heralds a new paradigm in vascular research, with significant implications for personalized medicine and bioengineering innovations. |
| first_indexed | 2024-03-09T05:34:02Z |
| format | Article |
| id | doaj.art-fc4e6c0cf7294c649f177242ea3befb1 |
| institution | Directory Open Access Journal |
| issn | 1475-925X |
| language | English |
| last_indexed | 2024-03-09T05:34:02Z |
| publishDate | 2023-12-01 |
| publisher | BMC |
| record_format | Article |
| series | BioMedical Engineering OnLine |
| spelling | doaj.art-fc4e6c0cf7294c649f177242ea3befb12023-12-03T12:30:53ZengBMCBioMedical Engineering OnLine1475-925X2023-12-0122111910.1186/s12938-023-01179-8Integrated particle image velocimetry and fluid–structure interaction analysis for patient-specific abdominal aortic aneurysm studiesCan Özcan0Özgür Kocatürk1Civan Işlak2Cengizhan Öztürk3Institute of Biomedical Engineering, Boğaziçi University, Kandilli CampusInstitute of Biomedical Engineering, Boğaziçi University, Kandilli CampusDepartment of Radiology, Division of Neuroradiology, Cerrahpaşa Medical Faculty, Istanbul University CerrahpaşaInstitute of Biomedical Engineering, Boğaziçi University, Kandilli CampusAbstract Background Understanding the hemodynamics of an abdominal aortic aneurysm (AAA) is crucial for risk assessment and treatment planning. This study introduces a low-cost, patient-specific in vitro AAA model to investigate hemodynamics using particle image velocimetry (PIV) and flow-simulating circuit, validated through fluid–structure interaction (FSI) simulations. Methods In this study, 3D printing was employed to manufacture a flexible patient-specific AAA phantom using a lost-core casting technique. A pulsatile flow circuit was constructed using off-the-shelf components. A particle image velocimetry (PIV) setup was built using an affordable laser source and global shutter camera, and finally, the flow field inside the AAA was analyzed using open-source software. Fluid–structure interaction (FSI) simulations were performed to enhance our understanding of the flow field, and the results were validated by PIV analysis. Both steady-state and transient flow conditions were investigated. Results Our experimental setup replicated physiological conditions, analyzing arterial wall deformations and flow characteristics within the aneurysm. Under constant flow, peak wall deformations and flow velocities showed deviations within − 12% to + 27% and − 7% to + 5%, respectively, compared to FSI simulations. Pulsatile flow conditions further demonstrated a strong correlation (Pearson coefficient 0.85) in flow velocities and vectors throughout the cardiac cycle. Transient phenomena, particularly the formation and progression of vortex structures during systole, were consistently depicted between experimental and numerical models. Conclusions By bridging high-fidelity experimental observations with comprehensive computational analyses, this study underscores the potential of integrated methodologies in enhancing our understanding of AAA pathophysiology. The convergence of realistic AAA phantoms, precise PIV measurements at affordable cost point, and validated FSI models heralds a new paradigm in vascular research, with significant implications for personalized medicine and bioengineering innovations.https://doi.org/10.1186/s12938-023-01179-8Particle image velocimetryFluid–structure interaction3D printingAAA |
| spellingShingle | Can Özcan Özgür Kocatürk Civan Işlak Cengizhan Öztürk Integrated particle image velocimetry and fluid–structure interaction analysis for patient-specific abdominal aortic aneurysm studies BioMedical Engineering OnLine Particle image velocimetry Fluid–structure interaction 3D printing AAA |
| title | Integrated particle image velocimetry and fluid–structure interaction analysis for patient-specific abdominal aortic aneurysm studies |
| title_full | Integrated particle image velocimetry and fluid–structure interaction analysis for patient-specific abdominal aortic aneurysm studies |
| title_fullStr | Integrated particle image velocimetry and fluid–structure interaction analysis for patient-specific abdominal aortic aneurysm studies |
| title_full_unstemmed | Integrated particle image velocimetry and fluid–structure interaction analysis for patient-specific abdominal aortic aneurysm studies |
| title_short | Integrated particle image velocimetry and fluid–structure interaction analysis for patient-specific abdominal aortic aneurysm studies |
| title_sort | integrated particle image velocimetry and fluid structure interaction analysis for patient specific abdominal aortic aneurysm studies |
| topic | Particle image velocimetry Fluid–structure interaction 3D printing AAA |
| url | https://doi.org/10.1186/s12938-023-01179-8 |
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