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

Satish K. Shah, Nimit Shah
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引用次数: 1

Abstract

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.
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基于改进grangeat方法的三维重建算法用户界面开发
图像变换是广泛应用于医学领域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。可获得二维图像,用于硬组织成像的能量来源是x射线。硬组织的三维模型是由使用CT扫描的传统断层扫描创建的。由于扫描仪非常昂贵,在大多数卫生保健中心不容易获得。本文提出的算法是基于从基本x射线设备获得的硬组织二维图像数据。与其他方法相比,它在通过任意路径收集数据的背景下是独一无二的,可以为三维模型提供最大的灵活性。用各种数据集进行的一系列实验验证了MATLAB®平台的实现。
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