Çalışkan, AbidinÇevik, Ulus2021-12-012021-12-012017-09Çalışkan, A., Çevik, U. (2017). Three-dimensional modeling in medical image processing by using fractal geometry. Journal of Computers, 12 (59, pp.479-485. DOI:https://dx.doi.org/10.17706/jcp.12.5.479-485https://dx.doi.org/10.17706/jcp.12.5.479-4851796-203Xhttps://hdl.handle.net/20.500.12402/4139Medical 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.eninfo:eu-repo/semantics/openAccessAttribution-NonCommercial-ShareAlike 3.0 United StatesMedical ImagingVisualizationImaging Algorithm3DArticle125479485