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Design and implementation of a MRI compatible and dynamic phantom simulating the motion of a tumor in the liver under the breathing cycle
Author(s): Arnould Geelhand de Merxem; Vianney Lechien; Tanguy Thibault; Damien Dasnoy; Benoît Macq
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Paper Abstract

In the context of cancer treatment by proton therapy, research is carried out on the use magnetic resonance imaging (MRI) to perform real-time tracking of tumors during irradiation. The purpose of this combination is to reduce the irradiation of healthy tissues surrounding the tumor, while using a non-ionizing imaging method. Therefore, it is necessary to validate the tracking algorithms on real-time MRI sequences by using physical simulators, i.e. a phantom. Our phantom is a device representing a liver with hepatocellular carcinoma, a stomach and a pancreas close to the anatomy and the magnetic properties of the human body, animated by a motion similar to the one induced by the respiration. Many anatomical or mobile phantoms already exist, but the purpose here is to combine a reliable representation of the abdominal organs with the creation and the evaluation of a programmable movement in the same device, which makes it unique. The phantom is composed of surrogate organs made of CAGN gels. These organs are placed in a transparent box filled with water and attached to an elastic membrane. A programmable electro-pneumatic system creates a movement, similarly to a human diaphragm, by inflating and deflating the membrane. The average relaxation times of the synthetic organs belongs to a range corresponding to the human organs values (T1 = [458.7-1660] ms, T2 = [39.3-89.1] ms). The displacement of the tumor is tracked in real time by a camera inside the MRI. The amplitude of the movement varies from 12.8 to 20.1 mm for a periodic and repeatable movement. Irregular breath patterns can be created with a maximum amplitude of 40 mm.

Paper Details

Date Published: 17 November 2017
PDF: 16 pages
Proc. SPIE 10572, 13th International Conference on Medical Information Processing and Analysis, 105720X (17 November 2017); doi: 10.1117/12.2285620
Show Author Affiliations
Arnould Geelhand de Merxem, Univ. Catholique de Louvain (Belgium)
Vianney Lechien, Univ. Catholique de Louvain (Belgium)
Tanguy Thibault, Univ. Catholique de Louvain (Belgium)
Damien Dasnoy, Univ. Catholique de Louvain (Belgium)
Benoît Macq, Univ. Catholique de Louvain (Belgium)


Published in SPIE Proceedings Vol. 10572:
13th International Conference on Medical Information Processing and Analysis
Eduardo Romero; Natasha Lepore; Jorge Brieva; Juan David García, Editor(s)

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