The Adaptive Hermite Fractal Tree (AHFT): a novel surgical 3D path planning approach with curvature and heading constraints.
Marlene Pinzi, Stefano Galvan, Ferdinando Rodriguez Y Baena
April 2019 Int J Comput Assist Radiol SurgSynopsis of Social media discussions
Discussions highlight the innovative nature of the AHFT approach, with comments like 'potential for safer neurosurgery' and 'improved tumor targeting.' The tone balances enthusiasm with a careful acknowledgment of preliminary simulation results, demonstrating a shared recognition of its promise but also a need for further validation.
Agreement
Moderate agreementMost discussions recognize the novelty and potential benefits of the AHFT method, indicating a general consensus of agreement.
Interest
Moderate level of interestParticipants show a moderate level of curiosity, mentioning concepts like 'robust' and 'safe trajectories,' but do not deeply explore technical details.
Engagement
Moderate level of engagementReaders engage by referencing specific aspects such as obstacle avoidance and preoperative planning, suggesting meaningful, thoughtful participation.
Impact
Moderate level of impactWhile some talk about the promise for surgical safety and accuracy, the overall tone remains cautious rather than revolutionary, reflecting modest perceived impact.
Social Mentions
YouTube
2 Videos
2 Posts
Metrics
Video Views
11,120
Total Likes
360
Extended Reach
11,690
Social Features
4
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The Adaptive Hermite Fractal Tree (AHFT): a novel surgical 3D path planning approach with curvature and heading constraints | Physics & Mathematics in Biomedicine https://t.co/mYFNqFEUUN
view full postFebruary 27, 2019
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@mmarland (Twitter)The Adaptive Hermite Fractal Tree (AHFT): a novel surgical 3D path planning approach with curvature and heading constraints | @scoopit https://t.co/buZYV7vCH1
view full postFebruary 27, 2019
Abstract Synopsis
- The paper introduces the Adaptive Hermite Fractal Tree (AHFT), a new 3D path planning method designed for minimally invasive neurosurgery, specifically to improve the placement of steerable needles near tumors by considering anatomical obstacles and curvature constraints.
- AHFT combines concepts from efficient fractal tree algorithms and optimized Hermite curves to generate safe, obstacle-free trajectories that meet specific start and end positions while respecting heading and curvature limits, making it suitable for complex brain structures.
- Simulations show that AHFT is robust against target location and orientation variations and can be used in preoperative planning, allowing surgeons to choose entry points on the skull, thereby enhancing precision and safety in tumor treatments.]
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@mmarland (Twitter)