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Development of advanced algorithm for measuring bone density based on radio graphic densitometry

机译:基于无线电图致密度测量测量骨密度的先进算法的研制

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Radiographic densitometry is a technique that allows us to evaluate bone density, using as reference an inert material, such as aluminum. Those techniques allow for the support of the diagnosis of diseases and bone abnormalities such as osteoporosis. To increase the technical precision, some authors proposed the use of mathematical equations, as the minimum square method, LaPlace's theorem and the Sarrus rule, which will result in a better fit of the characteristic absorption curve to X-rays through the study object. The use of technologies such as Java and MySql - open source - allows the development of advanced algorithms, able to analyze and process digital or scanned radiographic images and calculate density values close to the study object values. Currently many paid solutions are supported to perform radiographic densitometry. The objective of this study is to develop an algorithm that makes it possible to measure bone density from the X-ray densitometry. To test the software, a number of test will be conducted using both inert material and bone materials. It is expected that with the implementation of advanced algorithms can provide better precision and accuracy, once applications using the polynomial 3rd degree demonstrated excellent accuracy, but a bad correctness in some steps cases.
机译:射线照相密度测定是一种允许我们使用惰性材料(例如铝)评估骨密度的技术。这些技术允许支持对疏松疏松症等疾病和骨异常的诊断。为了提高技术精度,一些作者提出了使用数学方程式,作为最小方形方法,LAPLACE的定理和Sarrus规则,这将通过研究对象更好地拟合特征吸收曲线到X射线。使用Java和MySQL - 开源等技术 - 允许开发高级算法,能够分析和处理数字或扫描的放射线图像,并计算接近研究对象值的密度值。目前,支持许多付费解决方案来执行射线照相密度测定法。本研究的目的是开发一种使得可以测量从X射线密度测定法测量骨密度的算法。为了测试软件,将使用惰性材料和骨材料进行许多测试。预计随着先进的算法的实施可以提供更好的精度和准确性,一旦使用多项式第3度的应用,就会展现出优异的精度,但在某些步骤案件中存在糟糕的正确性。

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