31-08-2017, 11:52 AM
Currently, in medical imaging, the team produces 3D results for better visualization and healing. Also, the need for devices capable of rendering these 3D medical images is being expanded, since it is valuable to see directly human tissues or organs and is immense support for medical personnel. Consequently, the recreation of 3D images from 2D images has attracted several researchers. CT images usually composed of soft tissue of bones and background. This article presents the 3D segmentation of the leg bones in computed tomography (CT) images. The bone section is extracted from each 2D slice and placed in 3D space. Surface rendering is applied to 2D bone slices. Data is displayed by multiplanar reformatting, surface rendering, and hardware accelerated volume rendering. Finally, the work presents an improved technique to reproduce 3D bone segmentation in medicinal images that presents promising results in comparison to the techniques described in the literature. The proposed technique involves the extraction of contours, image enhancement, segmentation, reduction of outliers and 3D modeling.
Medical imaging is an archived progress, several issues such as noise elimination, contrast enhancement, visualization and tissue segmentation are still fresh. 3D visualization from 2D imaging is the need for physicians for better visualization of tissues and treatment. However, significant efforts have been made in biomedical and biomechanical fields to aid therapeutic applications. These efforts have led to new techniques for finding and treating numerous deadly diseases and surgical operations. Medical imaging techniques that are frequently used to scan organs within the human body include computed tomography (CT), magnetic resonance imaging (MRI), and 3D-4D ultrasound. The CT system uses X-beam to create images for a better understanding of bone contrast; either CT or MRI equipment could provide a clear contour of bone and soft tissue. However, the current 2D display lacks high contrast display and therefore 3D display is in high demand. 3D reconstruction of the organs by MRI and CT scan represents a closer reality and shows a better estimation within the organs. Magnetic resonance imaging and computed tomography are used to reconstruct a 3D model of tissues and bones. Computer methods use these images to create volume or 3D surface. The goal of medical image visualization is to propose fixed steps to provide physicians with valuable understanding of the images.
Medical imaging is an archived progress, several issues such as noise elimination, contrast enhancement, visualization and tissue segmentation are still fresh. 3D visualization from 2D imaging is the need for physicians for better visualization of tissues and treatment. However, significant efforts have been made in biomedical and biomechanical fields to aid therapeutic applications. These efforts have led to new techniques for finding and treating numerous deadly diseases and surgical operations. Medical imaging techniques that are frequently used to scan organs within the human body include computed tomography (CT), magnetic resonance imaging (MRI), and 3D-4D ultrasound. The CT system uses X-beam to create images for a better understanding of bone contrast; either CT or MRI equipment could provide a clear contour of bone and soft tissue. However, the current 2D display lacks high contrast display and therefore 3D display is in high demand. 3D reconstruction of the organs by MRI and CT scan represents a closer reality and shows a better estimation within the organs. Magnetic resonance imaging and computed tomography are used to reconstruct a 3D model of tissues and bones. Computer methods use these images to create volume or 3D surface. The goal of medical image visualization is to propose fixed steps to provide physicians with valuable understanding of the images.