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STUDY ON PATHOLOGICAL AREA OF KNEE BY INFRARED IMAGING

机译:红外成像对膝关节病理区域的研究

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The application of infrared imaging in biomedical fields has been very broad, but the research results of the lesion of knee by using of infrared imaging have seldom been reported at present. On the basis of infrared images research, we present the exploring image analysis and relate the programming optimum entropy algorithm about infrared imaging analysis. The paper demonstrates the comparative study on the infrared images contrast between the pathological knee and the reference normal group through the optimum entropy algorithm. The rule of variation between the normal image and pathological changes of level about knee lesion in patients is gained. The research results provide a kind of methods for the clinical diagnosis of the pathological knee and also discuss the value of application about the optimum entropy algorithm in infrared imaging analysis. Contrasting the MRI or CT, the infrared imaging is cheap and harmless. So the method can be used in health care and prophylactic detection.
机译:红外成像在生物医学领域中的应用非常广泛,但是目前很少有关于利用红外成像对膝关节病变进行研究的报道。在红外图像研究的基础上,提出了探索性图像分析方法,并结合了红外成像分析的最优熵编程算法。本文通过最优熵算法对病理膝与参考正常人群的红外图像对比度进行了对比研究。得出患者正常图像与膝关节病变水平病理变化之间的变化规律。研究结果为病理膝的临床诊断提供了一种方法,并探讨了最佳熵算法在红外成像分析中的应用价值。与MRI或CT相比,红外成像便宜且无害。因此该方法可用于卫生保健和预防性检测。

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