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The comparison of image manifold method and volume estimation method in constructing 3D brain tumor image

机译:图像流形方法与体积估计方法在构建3D脑肿瘤图像中的比较

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摘要

Three dimensional (3D) image visualization is one of the important processes that extract information from the given two dimensional (2D) images. This study deals with the 3D object visualization via 2D images that included difference surfaces. The main objective of this work is to combine the contour of the brain tumor in 2D Magnetic Resonance Imaging (MRI) slices and reconstruct the 3D object. The fundamental research is based on the Alternating Operating Splitting and Geodesic Active Contour methods where these methods are used to detect the contour on a brain tumor MRI image. To combine these contours, we will apply Image Manifold method by using 3D Slicer Software and to calculate the volume of the 3D image, we will apply Volume Estimation method by using MATLAB. The objective of this study is to investigate the performance evaluation of some numerical methods for constructing 3D image and estimating the volume of the image. The obtained results indicate a good resolution of the reconstruction 3D image visualization process.
机译:三维(3D)图像可视化是从给定的二维(2D)图像中提取信息的重要过程之一。这项研究通过包含不同表面的2D图像处理3D对象可视化。这项工作的主要目的是在2D磁共振成像(MRI)切片中组合脑肿瘤的轮廓并重建3D对象。基础研究基于交替操作分裂和测地线活动轮廓方法,其中这些方法用于检测脑肿瘤MRI图像上的轮廓。为了结合这些轮廓,我们将使用3D Slicer软件应用图像流形方法,并通过使用MATLAB应用体积估计方法来计算3D图像的体积。这项研究的目的是研究一些用于构建3D图像和估计图像量的数值方法的性能评估。获得的结果表明重建3D图像可视化过程的良好分辨率。

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