3D Prostate Segmentation in Ultrasound Images using Image Deformation and Shape Fitting
نویسندگان
چکیده
Prostate cancer is the second leading cause of cancer death in men affecting one man in six during their lifetime. In prostate brachytherapy to generate a plan of the seed positions, a pre-operative volume study is carried out by obtaining 8-14 transverse 2D ultrasound images. These images are then manually segmented which is both time consuming and dependent on the experience of the oncologist. In addition, the prostate is poorly delineated in ultrasound images making its automatic segmentation a challenging task. The proposed semi-automatic 3D segmentation method, based on [1], greatly reduces the segmentation duration and produces good results while being less sensitive to the user’s experience and image quality.
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