Evolving improved transforms for reconstruction of quantized ultrasound images

Chris Miller, B. Babb, F. Moore, M. R. Peterson
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引用次数: 4

Abstract

State-of-the-art lossy compression schemes for medical imagery utilize the 9/7 wavelet. Recent research has established a methodology for using evolutionary computation (EC) to evolve wavelet and scaling numbers describing novel reconstruction transforms that outperform the 9/7 under lossy conditions. This paper describes an investigation into whether evolved transforms could automatically compensate for the detrimental effects of quantization for ultrasound (US) images. Results for 16:1, 32:1, and 64:1 quantization consistently demonstrate superior performance of evolved transforms in comparison to the 9/7 wavelet; in general, this advantage increases in proportion to the selected quantization level.
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基于改进变换的量化超声图像重建
医学图像的最先进的有损压缩方案利用9/7小波。最近的研究已经建立了一种使用进化计算(EC)来进化小波和描述在有损条件下优于9/7的新型重构变换的尺度数的方法。本文描述了一项关于进化变换是否能自动补偿量化对超声图像的有害影响的研究。16:1、32:1和64:1量化的结果一致表明进化变换的性能优于9/7小波;一般来说,这种优势与所选择的量化水平成比例地增加。
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