High intensity focused ultrasound (HIFU) is a precise method to thermally ablate deep-seated tumors in a non-invasive manner. A prerequisite for a safe and effective application of HIFU is image guidance, to plan and control the ablation process. The most suitable imaging modality is MRI, with its high soft tissue contrast and its ability to monitor tissue temperature changes (MR-guided HIFU, MRgHIFU). The therapy of abdominal organs, such as the liver, still poses several problems due to a moving target location caused by breathing, motion related MR-thermometry artefacts and near-field obstacles, i.e. thoracic cage or bowel.

The primary objective of this project is to perform clinical trials with MRgHIFU applied to liver neoplastic nodules. The project relies on a new concept of MRgHIFU ultrasound developed in a previous SNF project which will be tested for the first time on patients. The clinical studies will meet incremental requirements in liver from basic targeting to complete tumour ablation.

In this project, Artanim is the expert in computer science, involving the design, implementation, and quality assurance of real time software for integration of “self-scanning” sonication with closed loop temperature feedback control.

High intensity focused ultrasound (HIFU) is a precise method to thermally ablate deep-seated tumors in a non-invasive manner. A prerequisite for a safe and effective application of HIFU is image guidance, to plan and control the ablation process. The most suitable imaging modality is MRI, with its high soft tissue contrast and its ability to monitor tissue temperature changes (MR-guided HIFU, MRgHIFU). The therapy of abdominal organs, such as the liver, still poses several problems due to a moving target location caused by breathing, motion related MR-thermometry artefacts and near-field obstacles, i.e. thoracic cage or bowel.

The goal of this project is to treat unresectable liver malignancies with MRgHIFU, using fast volumetric ablation. Enlarged acoustic window and enhanced focusing number of the HIFU applicator, rapid automatic control of volumetric sonication, as well as self-scanning of the lesion by exploiting the respiratory motion are envisaged in this research.

In this project, Artanim was in charge of the segmentation of target region (tumor) and organs at risk, as well as the computation of the optimal transducer positioning of the robotic assistance system taking into account the segmented structures and the coverage target area.