3D localization of vena contracta using Doppler ICE imaging in tricuspid valve interventions

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Abstract

Purpose: Tricuspid valve (TV) interventions face the challenge of imaging the anatomy and tools because of the ‘TEE-unfriendly’ nature of the TV. In edge-to-edge TV repair, a core step is to position the clip perpendicular to the coaptation gap. In this study, we provide a semi-automated method to localize the VC from Doppler intracardiac echo (ICE) imaging in a tracked 3D space, thus providing a pre-mapped location of the coaptation gap to assist device positioning. Methods: A magnetically tracked ICE probe with Doppler imaging capabilities is employed in this study for imaging three patient-specific TVs placed in a pulsatile heart phantom. For each of the valves, the ICE probe is positioned to image the maximum regurgitant flow for five cardiac cycles. An algorithm then extracts the regurgitation imaging and computes the exact location of the vena contracta on the image. Results: Across the three pathological, patient-specific valves, the average distance error between the detected VC and the ground truth model is (1.22 ± 2.00) mm. For each of the valves, one case represented the outlier where the algorithm misidentified the vena contracta to be near the annulus. In such cases, it is recommended to retake the five-second imaging data. Conclusion: This study presented a method for ultrasound-based localization of vena contracta in 3D space. Mapping such anatomical landmarks has the potential to assist with device positioning and to simplify tricuspid valve interventions by providing more contextual information to the interventionalists, thus enhancing their spatial awareness. Additionally, ICE can be used to provide live US and Doppler imaging of the complex TV anatomy throughout the procedure.

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APA

Nisar, H., Fakim, D., Bainbridge, D., Chen, E. C. S., & Peters, T. (2022). 3D localization of vena contracta using Doppler ICE imaging in tricuspid valve interventions. International Journal of Computer Assisted Radiology and Surgery, 17(9), 1569–1577. https://doi.org/10.1007/s11548-022-02660-w

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