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Machine Learning Model for Multi-View Visualization of Medical Images
The Computer Journal ( IF 1.4 ) Pub Date : 2020-08-27 , DOI: 10.1093/comjnl/bxaa111
Nitesh Pradhan 1 , Vijaypal Singh Dhaka 2 , Geeta Rani 2 , Himanshu Chaudhary 3
Affiliation  

Imaging techniques such as X-ray, computerized tomography scan and magnetic resonance imaging are useful in the correct diagnosis of a disease or deformity in the organ. Two-dimensional imaging techniques such as X-ray give a clear picture of simple bone deformity but fail in visualizing multiple fractures in a bone. Moreover, these lack in providing a multi-angle view of a bone. Three-dimensional techniques such as computerized tomography scan and magnetic resonance imaging present a correct orientation of fracture geometry. Computerized tomography scan is a collection of multiple slices of an image. These slices provide a fair idea about a fracture but fail in the measurement of correct dimensions of a fractured fragment and to observe its geometry. It also exposes a patient with carcinogenic radiations. Magnetic resonance imaging induces a strong magnetic field. So, it becomes ineffective for organs containing metallic implants. The high cost of three-dimensional imaging techniques makes them inaccessible for economic weaker section of society. The limitations of two- and three-dimensional imaging techniques motivate researchers to propose an innovative machine learning model ‘CT slices to |$3$|-D convertor’ that accepts multiple slices of an image and yields a multi-dimensional view at all possible angles from 0 degree to 360 degree for an input image.

中文翻译:

用于医学图像多视图可视化的机器学习模型

X射线,计算机断层扫描和核磁共振成像等成像技术可用于正确诊断器官内的疾病或畸形。X射线等二维成像技术可以清晰显示简单的骨骼畸形,但无法可视化骨骼中的多个骨折。而且,这些缺乏提供骨骼的多角度视图的能力。三维技术(例如计算机断层扫描和磁共振成像)可显示骨折几何形状的正确方向。计算机断层扫描是图像的多个切片的集合。这些切片提供了关于断裂的清晰概念,但未能测量断裂碎片的正确尺寸并观察其几何形状。它还使患者暴露于致癌辐射下。磁共振成像会感应强磁场。因此,它对于包含金属植入物的器官无效。三维成像技术的高昂成本使社会上较弱的经济阶层无法使用它们。二维和三维成像技术的局限性促使研究人员提出了一种创新的机器学习模型'CT slices to| $ 3 $ | -D转换器”可以接受图像的多个切片,并为输入图像提供从0度到360度所有可能角度的多维视图。
更新日期:2020-08-27
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