Assesment of Bone Mineral Density in X-ray Images using Image Processing

2021 8th International Conference on Computing for Sustainable Global Development (INDIACom) Pub Date : 2021-03-17 DOI:10.1109/INDIACom51348.2021.00162

P. Dodamani, A. Danti

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引用次数: 1

Abstract

X-ray application in medical fields has given rise to various research challenges related to bone, due to its wide usage in finding out the disease related to human anatomy. It has lot of research challenges to solve using available wide application of medical imaging techniques and inspired by this, a novel X-ray images based survey was conducted to understand the role of Xray images in medical field. Bone mass density identification is the standard procedure to monitor the risk of fracture in bone using DEXA. Lot of research has been carried out to calculate BMD using X-ray images and it provided prominent results. Since Xray is economically affordable and very economical compared to DEXA, we have decided to work on X-ray images. This paper explains us about various current advancements and disadvantages with respect to X-ray image in medical sector and various techniques related to BMD calculation. X-ray images characteristics and its fundamentals in the medical field for identifying bone related diseases are also discussed.

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利用图像处理技术评估x射线图像中的骨矿物质密度

x射线在医学领域的应用带来了与骨相关的各种研究挑战，因为它广泛应用于发现与人体解剖学相关的疾病。利用现有的广泛应用的医学成像技术，有许多研究挑战需要解决，受此启发，进行了一项新的基于x射线图像的调查，以了解x射线图像在医学领域的作用。骨密度鉴定是使用DEXA监测骨骨折风险的标准程序。利用x射线图像计算骨密度已经进行了大量的研究，并取得了显著的成果。由于x射线在经济上负担得起，与DEXA相比非常经济，我们决定研究x射线图像。本文向我们解释了目前医学领域x射线图像的各种进步和缺点，以及与BMD计算相关的各种技术。本文还讨论了x射线图像的特征及其在骨相关疾病识别医学领域的基本原理。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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2021 8th International Conference on Computing for Sustainable Global Development (INDIACom)

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