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Real-time bilateral filtering of ultrasound images through highly optimized DSP implementation

机译:通过高度优化的DSP实现对超声图像进行实时双边过滤

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The examination of anatomical structures through ultrasound (US) is widely employed in everyday medical diagnostics. Unfortunately, the quality achievable in US imaging is limited by speckle noise. This sort of noise produces a particular spotted pattern which makes image interpretation difficult, hampers the application of automatic segmentation methods, and can hide small but important morphological structures. Several methods have been developed for reducing the effect of speckle noise without interfering with image information. Bilateral filtering has been proven to produce good performance, but unfortunately, it requires a high calculation effort which hampers its real-time employment. In this work we present a real-time implementation of Bilateral filtering for the TMS320C64×+ Digital Signal Processors. The real-time capability has been achieved by careful code optimization and efficient exploitation of the DSP architecture. The filter, tested on the ULA-OP research scanner, is shown suitable to process 192×512 images at 40 fps. Images obtained on both phantom and in-vivo are presented.
机译:通过超声(US)检查解剖结构已广泛用于日常医学诊断中。不幸的是,散斑噪声限制了美国成像技术可达到的质量。这种噪声会产生特殊的斑点图案,从而使图像难以解析,妨碍了自动分割方法的应用,并可能隐藏小的但重要的形态结构。已经开发了几种方法来减少斑点噪声的影响而不干扰图像信息。双边过滤已被证明可以产生良好的性能,但不幸的是,它需要大量的计算工作,这妨碍了它的实时使用。在这项工作中,我们提出了针对TMS320C64×+数字信号处理器的双边滤波的实时实现。通过仔细的代码优化和对DSP体系结构的有效利用,可以实现实时功能。该滤镜在ULA-OP研究扫描仪上经过测试,显示适合处理40 fps的192×512图像。呈现了在幻影和体内获得的图像。

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