Mr. Dominik Weller Profile

Dominik Weller

at Universitätsklinikum Hamburg-Eppendorf

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Proceedings Article | 15 March 2019 Paper

Toward employing the full potential of magnetic particle imaging: exploring visualization techniques and clinical use cases for real-time 3D vascular imaging

René Werner, Dominik Weller, Johannes Salamon, Martin Möddel, Tobias Knopp

Proceedings Volume 10953, 109531V (2019) https://doi.org/10.1117/12.2512442

KEYWORDS: Visualization, Image visualization, 3D image processing, Magnetic particle imaging, Vascular imaging, Image segmentation, Volume rendering

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Magnetic particle imaging (MPI) is a relatively young, radiation-free imaging modality that measures the interaction between superparamagnetic nanoparticles and magnetic fields. Compared to standard imaging modalities, a key feature of MPI is its ability to measure 3D volumes of relatively high spatial resolution in real-time, while still maintaining high sensitivity. Therefore, MPI is considered promising especially for vascular imaging and interventions. Yet, to fully take advantage of the unique MPI properties, real-time 4D imaging has to be combined with appropriate real-time 4D visualization and image analysis techniques. The current work aims at identification of respective clinical use cases and scenarios to illustrate the potential of MPI in the context of vascular imaging and interventions; the implementation and exploration of suitable visualization and image analysis techniques; and evaluation and comparison of the resulting image data to standard clinical imaging approaches. The study is based on three clinical use cases and associated anatomical sites: mechanical thrombectomy (anatomical structure: middle cerebral artery, segments M1 and M2); endovascular coiling (internal carotid artery aneurysm); and chemoembolization (proper hepatic artery). Implemented visualization and image analysis options are based on direct volume rendering and cover aspects like optimal view point and view angle selection and application of cut-away views. We illustrate that combining MPI imaging and 4D visualization helps to improve vascular image interpretation.

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