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  1. 1. Segmentation of Cone Beam CT in Stereotactic Radiosurgery

    Master-uppsats, KTH/Skolan för teknik och hälsa (STH)

    Författare :Awais Ashfaq; [2016]
    Nyckelord :Cone Beam CT; Convolutional Neural Networks; Image Segmentation; Leksell Gamma Knife Icon; Deep Learning.; Cone Beam CT; neurala nätverk baserade på faltning; bildsegmentering; Leksell Gamma Knife Icon; Djup inlärning.;

    Sammanfattning : C-arm Cone Beam CT (CBCT) systems – due to compact size, flexible geometry and low radiation exposure – inaugurated the era of on-board 3D image guidance in therapeutic and surgical procedures. Leksell Gamma Knife Icon by Elekta introduced an integrated CBCT system to determine patient position prior to surgical session, thus advancing to a paradigm shift in facilitating frameless stereotactic radiosurgeries. LÄS MER