Three-dimensional modeling in medical image processing by using fractal geometry
Yükleniyor...
Tarih
2017-09
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Journal of Computers
Erişim Hakkı
info:eu-repo/semantics/openAccess
Attribution-NonCommercial-ShareAlike 3.0 United States
Attribution-NonCommercial-ShareAlike 3.0 United States
Özet
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.
Açıklama
Anahtar Kelimeler
Medical Imaging, Visualization, Imaging Algorithm, 3D
Kaynak
WoS Q Değeri
Scopus Q Değeri
Cilt
12
Sayı
5
Künye
Çalışkan, 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.12.5.479-485
