Flexible needle steering for computed tomography-guided interventions

Navid Shahriari

    Research output: ThesisThesis fully internal (DIV)

    695 Downloads (Pure)

    Abstract

    In the last few decades, the surgical tools and procedures have developed significantly. Invasive surgeries are avoided as much as possible and minimally-invasive or non-invasive procedures are preferred. Needles are among the common tools which are used in clinical procedures, such as brachytherapy, microwave and radio frequency ablations and biopsies. Needle insertions usually require alignment of the needle with a lesion or a tumor, which is a challenging task even for experienced clinicians. Furthermore, the needles tend to deflect while being inserted into the tissue, since the clinical needles usually have an asymmetric tip, and the cutting force deflects the needle in a certain direction.
    In this thesis, a robotic system is developed which is used to steer a flexible needle within the tissue. The robot is designed for the procedure on the lung and liver, which are commonly performed under CT guidance. A review of the available solutions in the market and in the literature is discussed and the design and evaluation of the proposed CT-compatible needle steering robot is presented. Functional tests prove the design concept, and experiments in biological tissue and human cadaver validate the steering concept. A data fusion scheme based on unscented Kalman filter is developed in order to combine the tracking information from multiple devices. Finally, a motion compensation algorithm is presented which can be used to compensate patients voluntary or non-voluntary motions (such as breathing) while the needle is being inserted into the body.
    Original languageEnglish
    QualificationDoctor of Philosophy
    Awarding Institution
    • University of Groningen
    Supervisors/Advisors
    • Oudkerk, Matthijs, Supervisor
    • Misra, Sarthak, Supervisor
    Award date12-Nov-2019
    Place of Publication[Groningen]
    Publisher
    Print ISBNs978-94-034-1217-7
    Electronic ISBNs978-94-034-1216-0
    Publication statusPublished - 2018

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