提高数字医学图像质量

Vesselin Gueorguiev, I. Ivanov, Borislav Ivanov
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引用次数: 1

摘要

医学图像是许多疾病现代诊断过程的重要组成部分。图像的低质量是由于不正确的解码而导致低诊断或高诊断的原因之一。本文提出了基于创建伪光照模型的图像质量增强方法的扩展版本。该方法采用单幅数字医学图像,通过模拟不同的患者暴露条件来创建一组图像。这组图像用于创建我们的伪亮度模型。在最后阶段,使用该模型创建没有医疗伪影的高质量医学图像。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Improving quality of digital medical images
Medical images are an important part of the modern diagnostic process of many diseases. The low quality of images is one of the reasons for hypo- or hyper-diagnosis as a result of incorrect deciphering. The proposed paper presents an extended version of our method for image quality enhancement based on the creation of a model of pseudo lighting. The method uses a single digital medical image to create a set of images by simulation different patient exposure conditions. This set of images is used to create our pseudo luminance model. In the final stage, the model is used to create a medical image with enhanced quality without medical artifacts.
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