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Development of user interface for 3D reconstruction algorithm using modified grangeat method

机译:使用改进的grangeat方法开发3D重建算法的用户界面

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Image transformation is one of the important digital image processing techniques widely used in medical science. Typical applications of image transformation include creation of three dimensional volumetric models from two dimensional images. The two dimension images may be obtained energy source used for hard tissue imaging are x-rays. The three dimension models of hard tissue are created by traditional tomography using CT scans. Since scanners are very expensive they are not easily available at most of health care centers. The algorithm presented in the paper is based on two dimensional image data of hard tissues obtained from basic x-rays equipments. It is unique in context of data gathering collected via arbitrary path to impart maximum flexibility for three dimensional models compared to some other approaches. A series of experiments performed with various data sets validates claim MATLAB® platform is used for implementation.
机译:图像变换是医学中广泛使用的重要数字图像处理技术之一。图像变换的典型应用包括从二维图像创建三维体积模型。可以获得二维图像,用于X射线的用于硬组织成像的能量源。硬组织的三维模型是使用CT扫描通过传统断层扫描创建的。由于扫描仪非常昂贵,因此在大多数医疗中心都不容易获得。本文提出的算法基于从基本X射线设备获得的硬组织的二维图像数据。在通过任意路径收集数据的情况下,与某些其他方法相比,它在三维模型中具有最大的灵活性,这是独一无二的。使用各种数据集进行的一系列实验验证了使用MATLAB®平台进行实施的事实。

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