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  • 17 janvier
    2017
    14:00 › 16:00

    Soutenance de thèse de Lyas Hamdan : « Multimodal Image Registration in Image-Guided Prostate Brachytherapy »

    Soutenance de thèse de Lyas Hamdan : « Multimodal Image Registration in Image-Guided Prostate Brachytherapy » › Lieu : Faculté des lettres de Brest, salle des thèses B001
    › Contact : Martine Besnard, DRI, martine.besnard@imt-atlantique.fr
    › En savoir + : Summary :
    Prostate cancer is the most common cancer and the third leading cause of death from cancer in men in France and western countries. For an early-stage cancer, Brachytherapy has a better health-related quality of life after the treatment, compared to other techniques. Prostate brachytherapy is a radiotherapy technique that involves the implantation of radioactive sources inside the prostate to deliver a localized radiation dose to the tumor while sparing the surrounding healthy tissues. A personalized dose distribution can be calculated on pre-operative CT images. During the intervention, the surgeon utilizes a real-time guiding system, TRUS, to place the sources in their desired positions. Therefore, the positions of sources, determined on CT, need to be transferred to TRUS. However, a robust US/CT registration is hardly possible since they both provide low soft tissue contrast. MRI, on the other hand, has a superior soft tissue contrast and can potentially improve the treatment planning and delivery by providing a better visualization. Thus, the three modalities (MRI, US and CT) need to be accurately registered. To compensate for prostate deformations, caused by changes in size and form between the different acquisitions, non- rigid registration is necessary. Fully automatic registration methodology is proposed in order to facilitate its integration in a clinical workflow. The proposed approach was validated on a prostate phantom at first to assess the feasibility of the study. Then, the method was validated on clinical patient datasets and evaluated using qualitative and quantitative criteria. Hausdorff distance indicated that the maximum overall registration error was less than 2mm; which satisfies the desired clinical accuracy.


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