P64 Carotid Artery Tracking with Automated Wall Position Resets Yields Robust Distension Waveforms in Long-term Ultrasonic Recordings
Background: Carotid artery tracking has high clinical relevance for the investigation of arterial stiffness indicators like Pulse Wave Velocity (PWV). However, current tracking systems are unreliable and/or not fully automated [1,2]. In this work we propose a novel wall tracking algorithm for long-t...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
BMC
2020-02-01
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| Series: | Artery Research |
| Online Access: | https://www.atlantis-press.com/article/125934570/view |
| _version_ | 1828342375588560896 |
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| author | Fabian Beutel Laura Mansilla Valle Chris Van Hoof Evelien Hermeling |
| author_facet | Fabian Beutel Laura Mansilla Valle Chris Van Hoof Evelien Hermeling |
| author_sort | Fabian Beutel |
| collection | DOAJ |
| description | Background: Carotid artery tracking has high clinical relevance for the investigation of arterial stiffness indicators like Pulse Wave Velocity (PWV). However, current tracking systems are unreliable and/or not fully automated [1,2]. In this work we propose a novel wall tracking algorithm for long-term ultrasonic recordings, featuring automated beat-to-beat end-diastolic wall position resets.
Methods: Carotid artery ultrasound (Vantage64, Verasonics, USA) and simultaneous ECG (ECG100C, BIOPAC, USA) were acquired from 10 subjects (38 ± 10 years) in 6 repeated measurements, each involving a resting, breathing and handgrip intervention. The ECG triggers an automated algorithm, whose heuristics utilize the hypoechogenic lumen to detect the end-diastolic wall positions in the ultrasound data. Subsequently, wall motion is tracked throughout the cardiac cycle by complex cross-correlation [3]. Further processing yields carotid distension waveforms and local PWV via spatiotemporal fitting of waveform fiducials. The novel per-beat algorithm was benchmarked against a manually initialized per-intervention algorithm, while ground truth wall positions were manually annotated. Performance was assessed for temporal efficiency, spatial accuracy and feature consistency.
Results: Average results show a ~4000% higher temporal efficiency, 20% increased spatial accuracy (μ error: 0.66 to 0.53 [mm]) and 14% improved feature consistency (ơPWV: 2.2 to 1.9 [m/s]) for the per-beat algorithm. Results of exceptional cases reveal even more significant performance, e.g. 60% increased spatial accuracy (μ error: 1.57 to 0.64 [mm]) for gradual drift and 58% improved feature consistency (ơPWV: 1.9 to 0.8 [m/s]) for instant vessel loss (see Figure 1).
Figure 1
Conclusion: The proposed algorithm demonstrates significant temporal efficiency, spatial accuracy and feature consistency, particularly during perturbations. Such robustness is essential for long-term monitoring, making the algorithm a powerful tool in ambulatory vascular research. |
| first_indexed | 2024-04-13T23:28:55Z |
| format | Article |
| id | doaj.art-68e8deb1c4d04921b793052610471b3d |
| institution | Directory Open Access Journal |
| issn | 1876-4401 |
| language | English |
| last_indexed | 2024-04-13T23:28:55Z |
| publishDate | 2020-02-01 |
| publisher | BMC |
| record_format | Article |
| series | Artery Research |
| spelling | doaj.art-68e8deb1c4d04921b793052610471b3d2022-12-22T02:24:59ZengBMCArtery Research1876-44012020-02-0125110.2991/artres.k.191224.095P64 Carotid Artery Tracking with Automated Wall Position Resets Yields Robust Distension Waveforms in Long-term Ultrasonic RecordingsFabian BeutelLaura Mansilla ValleChris Van HoofEvelien HermelingBackground: Carotid artery tracking has high clinical relevance for the investigation of arterial stiffness indicators like Pulse Wave Velocity (PWV). However, current tracking systems are unreliable and/or not fully automated [1,2]. In this work we propose a novel wall tracking algorithm for long-term ultrasonic recordings, featuring automated beat-to-beat end-diastolic wall position resets. Methods: Carotid artery ultrasound (Vantage64, Verasonics, USA) and simultaneous ECG (ECG100C, BIOPAC, USA) were acquired from 10 subjects (38 ± 10 years) in 6 repeated measurements, each involving a resting, breathing and handgrip intervention. The ECG triggers an automated algorithm, whose heuristics utilize the hypoechogenic lumen to detect the end-diastolic wall positions in the ultrasound data. Subsequently, wall motion is tracked throughout the cardiac cycle by complex cross-correlation [3]. Further processing yields carotid distension waveforms and local PWV via spatiotemporal fitting of waveform fiducials. The novel per-beat algorithm was benchmarked against a manually initialized per-intervention algorithm, while ground truth wall positions were manually annotated. Performance was assessed for temporal efficiency, spatial accuracy and feature consistency. Results: Average results show a ~4000% higher temporal efficiency, 20% increased spatial accuracy (μ error: 0.66 to 0.53 [mm]) and 14% improved feature consistency (ơPWV: 2.2 to 1.9 [m/s]) for the per-beat algorithm. Results of exceptional cases reveal even more significant performance, e.g. 60% increased spatial accuracy (μ error: 1.57 to 0.64 [mm]) for gradual drift and 58% improved feature consistency (ơPWV: 1.9 to 0.8 [m/s]) for instant vessel loss (see Figure 1). Figure 1 Conclusion: The proposed algorithm demonstrates significant temporal efficiency, spatial accuracy and feature consistency, particularly during perturbations. Such robustness is essential for long-term monitoring, making the algorithm a powerful tool in ambulatory vascular research.https://www.atlantis-press.com/article/125934570/view |
| spellingShingle | Fabian Beutel Laura Mansilla Valle Chris Van Hoof Evelien Hermeling P64 Carotid Artery Tracking with Automated Wall Position Resets Yields Robust Distension Waveforms in Long-term Ultrasonic Recordings Artery Research |
| title | P64 Carotid Artery Tracking with Automated Wall Position Resets Yields Robust Distension Waveforms in Long-term Ultrasonic Recordings |
| title_full | P64 Carotid Artery Tracking with Automated Wall Position Resets Yields Robust Distension Waveforms in Long-term Ultrasonic Recordings |
| title_fullStr | P64 Carotid Artery Tracking with Automated Wall Position Resets Yields Robust Distension Waveforms in Long-term Ultrasonic Recordings |
| title_full_unstemmed | P64 Carotid Artery Tracking with Automated Wall Position Resets Yields Robust Distension Waveforms in Long-term Ultrasonic Recordings |
| title_short | P64 Carotid Artery Tracking with Automated Wall Position Resets Yields Robust Distension Waveforms in Long-term Ultrasonic Recordings |
| title_sort | p64 carotid artery tracking with automated wall position resets yields robust distension waveforms in long term ultrasonic recordings |
| url | https://www.atlantis-press.com/article/125934570/view |
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