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Patient-specific numerical modelling for the optimisation of HCC Selective Internal Radiation Therapy: an image based approach

Abstract : Selective internal radiation therapy using Yttrium-90 loaded glass microspheres injected in the hepatic artery is an emerging, minimally invasive therapy of hepatocellular carcinoma, which is the fourth cause of mortality in the world. Currently, microspheres distribution can be only approximately predicted by the injection of a radiotracer, whose behaviour may be different. A personalised intervention can lead to high concentration dose in the tumour, while sparing the surrounding parenchyma. This work is concerned with the development of a patient-specific numerical model for the simulation of microspheres tra- jectories and treatment optimisation. Clinical imaging protocol is utilised and optimised in order to extract patient’s specific data such as liver, tumours, hepatic artery and blood flow. Normal and malignant hepatic arterial vasculature and tissues are simulated down to a vessels diameter of 0.05 mm. A preliminary simulation of microspheres distribution in liver tissue is proposed and validated against post-treatment scintigraphy. Microspheres are here supposed to distribute proportionally to blood flow, which is computed based on Poiseuille’s law. More precise computational fluid dynamics (CFD) simulations of blood flow in the patient’s segmented arteries are performed. The Finite Volume Method (Ansys Fluent) and the Lattice Boltzmann Method (in-house developed software) are used to this purpose and their efficacy is compared. Microspheres transport is simulated in the patient’s hepatic artery using the FVM, and in a representative geometry using the LBM method. A phase contrast MRI sequence has been optimised in order to extract blood velocity from the hepatic artery and validate CFD simulations.
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Contributor : Costanza Simoncini Connect in order to contact the contributor
Submitted on : Sunday, December 3, 2017 - 8:32:31 PM
Last modification on : Wednesday, September 14, 2022 - 10:20:04 AM


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  • HAL Id : tel-01654375, version 1


Costanza Simoncini. Patient-specific numerical modelling for the optimisation of HCC Selective Internal Radiation Therapy: an image based approach. Signal and Image processing. Université de Rennes 1, 2017. English. ⟨tel-01654375⟩



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