An Optimal Control Approach for {HIFU} Self-Scanning Treatment Planning

Möri, Nadia and Gui, Laura and Jud, Christoph and Lorton, Orane and Salomir, Rares and Cattin, Philippe C.. (2017) An Optimal Control Approach for {HIFU} Self-Scanning Treatment Planning. In: Medical Image Computing and Computer-Assisted Intervention − MICCAI , 2. Cham, pp. 532-539.

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Official URL: https://edoc.unibas.ch/63978/

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In noninvasive abdominal tumor treatment, research has focused on canceling organ motion either by gating, breath holding or tracking of the target. This paper is based on the novel self-scanning method which combines the advantages of the gated and the tracking method. This approach leverages the respiratory organ motion by holding the focal spot of the high intensity focused ultrasound (HIFU) device static for a given time, while it passively scans the tumor due to respiratory motion. This enables to use a lower-cost HIFU device. We present a planning method for such a system that is based on optimal control theory which optimizes the scanning path and the sonication intensities
simultaneously. The method minimizes treatment time and ensures complete tumor ablation according to the thermal dose under free-breathing. To verify our method, we simulated a tumor in two dimensions. The achieved treatment time performs on par to the gold-standard tracking method. Moreover, we measured the temperature profile of the HIFU device in a tissue-mimicking phantom to verify our temperature model.
Faculties and Departments:03 Faculty of Medicine > Departement Biomedical Engineering > Imaging and Computational Modelling > Center for medical Image Analysis & Navigation (Cattin)
UniBasel Contributors:Cattin, Philippe Claude
Item Type:Conference or Workshop Item, refereed
Conference or workshop item Subtype:Conference Paper
Series Name:Lecture Notes in Computer Science book series (LNCS)
Issue Number:10434
Note:Publication type according to Uni Basel Research Database: Conference paper
Identification Number:
Last Modified:29 May 2018 08:50
Deposited On:29 May 2018 08:49

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