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Tracking de dispositifs et de structures pour le traitement endovasculaire des pathologies aortiques

Abstract : This work is part of computer-assisted endovascular navigation. The aim of this thesis is to study and to propose new solutions for the localization and the tracking of moving endovascular devices within anatomical structures, which can be considered fixed or moving. The objective is to facilitate the endovascular intervention, by maximizing the accuracy and reliability of procedures, while minimizing the use of X-rays and contrast agents. The works concern : - The study of registration approaches to align pre-operative 3D data describing the anatomical structures and intra-operative 3D electromagnetic data (positions of a catheter equipped with a magnetic sensor at its tip). In the context of the treatment of abdominal aortic aneurysms (AAA), two fiducial-free registration methods that exploit only the endovascular trajectories (with total or partial correspondence hypothesis) have been proposed. The tests were performed on an AAA phantom. Although the localization accuracy of electromagnetic systems is still limited, these could be used to assist endovascular navigation (e.g., catheterization of collateral arteries). - The elaboration of a method to track calcifications and markers in fluoroscopic sequences, in the context of transcatheter aortic valve implantation (TAVI) procedures. We proposed a method of tracking by adaptive appearance model (TMAA). The approach was evaluated on 13 fluoroscopic sequences as part of TAVI native valve procedures and 5 fluoroscopic sequences as part of TAVI valve-in-valve procedures. The average localization error was less than 1 mm and the average processing time was 32.23 ms/frame. The evaluation of this method and its application on patient data has made it possible to show the precision and the compatibility of the tracking with a clinical use.
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Submitted on : Tuesday, June 19, 2018 - 12:19:05 PM
Last modification on : Wednesday, September 14, 2022 - 10:20:04 AM
Long-term archiving on: : Tuesday, September 25, 2018 - 2:58:08 AM


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  • HAL Id : tel-01818624, version 1


Long Hung Nguyen-Duc. Tracking de dispositifs et de structures pour le traitement endovasculaire des pathologies aortiques. Traitement du signal et de l'image [eess.SP]. Université Rennes 1, 2017. Français. ⟨NNT : 2017REN1S142⟩. ⟨tel-01818624⟩



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