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Recurrent neural networks for generalization towards the vessel geometry in autonomous endovascular guidewire navigation in the aortic arch

Endovascular intervention is the state-of-the-art treatment for common cardiovascular diseases, such as heart attack and stroke. Automation of the procedure may improve the working conditions of physicians and provide high-quality care to patients in remote areas, posing a major impact on overall tr...

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Bibliographic Details
Main Authors: Karstensen, Lennart (Author) , Ritter, Jacqueline (Author) , Hatzl, Johannes (Author) , Ernst, Floris (Author) , Langejürgen, Jens (Author) , Uhl, Christian (Author) , Mathis-Ullrich, Franziska (Author)
Format: Article (Journal)
Language:English
Published: September 2023
In: International journal of computer assisted radiology and surgery
Year: 2023, Volume: 18, Issue: 9, Pages: 1735-1744
ISSN:1861-6429
DOI:10.1007/s11548-023-02938-7
Online Access:Verlag, kostenfrei, Volltext: https://doi.org/10.1007/s11548-023-02938-7
Verlag, kostenfrei, Volltext: https://link.springer.com/article/10.1007/s11548-023-02938-7
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Author Notes:Lennart Karstensen, Jacqueline Ritter, Johannes Hatzl, Floris Ernst, Jens Langejürgen, Christian Uhl, Franziska Mathis-Ullrich
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Summary:Endovascular intervention is the state-of-the-art treatment for common cardiovascular diseases, such as heart attack and stroke. Automation of the procedure may improve the working conditions of physicians and provide high-quality care to patients in remote areas, posing a major impact on overall treatment quality. However, this requires the adaption to individual patient anatomies, which currently poses an unsolved challenge.
Item Description:Online veröffentlicht: 28. Mai 2023
Gesehen am 04.09.2024
Physical Description:Online Resource
ISSN:1861-6429
DOI:10.1007/s11548-023-02938-7

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