Filtreler

2016 - 20172
Filtreleri Sıfırla

Ayarlar

Konu: 3D ×

Arama Sonuçları

Listeleniyor 1 - 2 / 2
  • Küçük Resim
    Öğe
    Three-dimensional modeling in medical image processing by using fractal geometry
    (Journal of Computers, 2017-09) Çalışkan, Abidin; Çevik, Ulus
    Medical images are visualized by computer and processed to obtain larger, more organized, and three-dimensional (3D) images. Thus, significant images are provided. The processed data facilitate diagnosis and treatment in the medical fields. The 3D surface models of related areas are formed by using volumetric data obtained by employing medical imaging methods such as Magnetic Resonance (MR) and Computer Tomography (CT). The purpose of this study is to obtain 3D images from the two-dimensional CT slices. These slices are obtained from the existing medical imaging devices and transferred to the z space and a mesh structure is provided between them. In addition, we investigated 3D imaging techniques, visualization, basic data types, conversion into main graphical components, and imaging algorithms. At the phase of obtaining 3D images; the image processing methods such as surface and volume imaging techniques, smoothing, denoising, and segmentation were used. The complexity and efficiency properties of the imaging algorithms were investigated and image enhancement algorithms were utilized.
  • Küçük Resim
    Öğe
    3D medical image processing by using filtering methods
    (Dicle University, 2016) Çalışkan, Abidin; Çevik, Ulus
    In this paper, data having medical file extensions were passed through various image processing stages, and boundary determination operations were performed. We aimed to obtain three-dimensional (3D) images after transferring the two-dimensional (2D) CT slices, obtained from the existing medical imaging devices, and to provide a mesh structure between them. At the phase of obtaining 3D images, image processing techniques such as surface and volume imaging techniques were used, and the complexity and effectiveness of the imaging algorithms were investigated, and image improving algorithms were used, as well. The noise filtering techniques for the images have been reviewed and 3D surface model has been obtained using volume rendering techniques.