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Design and Development of a Computational Framework for Patient-Specific Preoperative Planning of Robotics-Assisted Minimally Invasive FEVAR Interventions

Heegde, K.G.H. ter (2024) Design and Development of a Computational Framework for Patient-Specific Preoperative Planning of Robotics-Assisted Minimally Invasive FEVAR Interventions.

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Full Text Status:Access to this publication is restricted
Embargo date:31 December 2030
Abstract:In FEVAR procedures, a pre-operative plan is crucial for the reduction of procedure time and therefore the decrease in X-ray exposure. The Flux One system, developed by Heunis et al. tries to make navigation in vascular structures easier using magnetic pulling forces. This system currently uses a 3D model of the aorta to calculate the optimal orientation and direction for the end-effector of this system. A new approach has been developed which uses pre-operatively taken CTA scans to construct a 3D model of the aorta and the contour of the patient. The aorta will be used to extract the centerline and using this centerline, optimal orientation and position for the Flux One end-effector can be obtained for each primary branch of the aorta. The framework has been tested on 9 CTA scans and has been applied in an animal trial, with a result of navigating into 5 out of 5 pre-defined target arteries.
Item Type:Essay (Master)
Faculty:TNW: Science and Technology
Subject:30 exact sciences in general, 42 biology, 44 medicine, 52 mechanical engineering, 54 computer science
Programme:Biomedical Engineering MSc (66226)
Link to this item:https://purl.utwente.nl/essays/100572
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