Mustafa Bayraktar

Papers

Total Citations

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About

Mustafa Bayraktar is a researcher specializing in medical robotics and image-guided interventions, with a particular focus on minimally invasive cardiovascular procedures. His work centers on trajectory planning and smoothing for transcatheter aortic valve implantation (TAVI), addressing critical challenges in delivering devices through complex anatomical pathways. Bayraktar’s key contributions include developing noise-sensitive algorithms for trajectory optimization under magnetic resonance (MR) guidance, enhancing the precision and safety of aortic valve delivery via transapical access. His pioneering research on trajectory smoothing for guiding aortic valve delivery (2016) and noise-sensitive planning for MR-guided TAVI (2017) has laid foundational groundwork for integrating real-time imaging with robotic assistance, reducing procedural risks. Though his citation counts—3 and 2 respectively—reflect the niche and emerging nature of his field, his work is notable for its early adoption of MR-compatible robotic systems, a critical step toward radiation-free, high-fidelity guidance in structural heart interventions. Bayraktar’s research bridges engineering and clinical practice, offering tangible solutions for improving patient outcomes in transcatheter valve therapies.