Yazar "Bozkurt, Ismail" seçeneğine göre listele

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    Improvement of Radial basis Function Interpolation Performance on Cranial Implant Design
    (Science & Information Sai Organization Ltd, 2017) Atasoy, Ferhat; Sen, Baha; Nar, Fatih; Bozkurt, Ismail
    Cranioplasty is a neurosurgical operation for repairing cranial defects that have occurred in a previous operation or trauma. Various methods have been presented for cranioplasty from past to present. In computer-aided design based methods, quality of an implant depends on operator's talent. In mathematical model based methods, such as curve-fitting and various interpolations, healthy parts of a skull are used to generate implant model. Researchers have studied to improve performance of mathematical models which are independent from operators' talent. In this study, improvement of radial basis function (RBF) interpolation performance using symmetrical data is presented. Since we focused on the improvement of RBF interpolation performance on cranial implant design, results were compared with previous studies involving the same technique. In comparison with previously presented results, difference between the computed implant model and the original skull was reduced from 7 mm to 2 mm using newly proposed approach.
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    Total Variation Based 3D Skull Segmentation
    (Ieee, 2016) Atasoy, Ferhat; Sen, Baha; Nar, Fatih; Ozcan, Caner; Bozkurt, Ismail
    Segmentation is widely used for determining tumor and other lesions and classifying tissues for various analysis purposes in medical images. However, being an illposed problem, there is no single segmentation method which can perform successfully for all kind of data. In this study, a novel total variation (TV) based skull segmentation method is proposed. Skull segmentation performance of the proposed method is shown using computed tomography (CT) images.