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Visual enhancement of brain cancer MRI using multiscale dyadic filter and Hilbert transformation
Biomedical Engineering / Biomedizinische Technik ( IF 1.7 ) Pub Date : 2021-04-01 , DOI: 10.1515/bmt-2020-0010
Ankit Vidyarthi 1
Affiliation  

The quality of the medical image plays a major role in decision making by the radiologists. There exists a visual differentiation between the normal scene color images and medical images. Due to the low illumination and unavailability of the color parameter, medical images require more attention by radiologists for decision making. In this paper a new approach is proposed that enhances the quality of the Magnetic Resonance (MR) images. Proposed approach uses the spectral information present in form of Amplitude and Frequency within the MR image slices for an enhancement. The extracted enhanced spectral information gives better visualization as compared with original signal image generated from MR scanner. The quantitative analysis of the proposed approach suggests that the new method is far better than the traditional state-of-art image enhancement methods.

中文翻译:

使用多尺度二元滤波器和希尔伯特变换对脑癌 MRI 进行视觉增强

医学图像的质量在放射科医生的决策中起着重要作用。正常场景彩色图像和医学图像之间存在视觉差异。由于颜色参数的低照度和不可用,医学图像需要放射科医师更多关注以进行决策。在本文中,提出了一种提高磁共振 (MR) 图像质量的新方法。所提出的方法使用以振幅和频率形式存在于 MR 图像切片内的频谱信息进行增强。与从 MR 扫描仪生成的原始信号图像相比,提取的增强光谱信息提供了更好的可视化。
更新日期:2021-03-26
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