Pre-processing for muscle motion analysis: Adaptive guided image filtering for speckle reduction of ultrasound images
文献类型：会议论文
| 作者 | Ye Chen; Yongjin Zhou; Ivanov, K.; Jizhou Li; Yuanzhong Shu; Lei Wang |
| 出版日期 | 2013 |
| 会议名称 | 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2013 |
| 会议地点 | Osaka, Japan |
| 英文摘要 | Skeletal muscle is an important tissue of human body, and its contractions control and regulate body motions. Muscle contraction results in morphological changes of the related muscles. Ultrasound imaging is an effective tool for studying muscle architectures and monitoring the morphological changes of muscles. The latter process can be realized with a motion estimation algorithm. However, ultrasound images are usually corrupted by speckle noises and performance of motion estimation methods can be significantly affected by the noises. To get a better performance in motion analysis, in this paper, as a pre-processing step, an adaptive filter named adaptive guided image filtering (AGF) is suggested to reduce speckle noises. We first transformed the multiplicative noise model into an additive one by taking the logarithm of the original speckled data, then performed AGF to obtain the filtered image, and finally took the tackled image back into exponent. Experimental results showed that AGF had a better performance in terms of noise attenuation and edge preservation compared with other standard filters. In quantitative results, the filtered images also had the highest Peak-Signal-to-Noise Ratio (PSNR) using AGF. It's believed that AGF is a good choice for the pre-processing stage of muscle motion analysis. |
| 收录类别 | EI |
| 语种 | 英语 |
| 源URL | [http://ir.siat.ac.cn:8080/handle/172644/5015]  |
| 专题 | 深圳先进技术研究院_医工所 |
| 作者单位 | 2013 |
| 推荐引用方式 GB/T 7714 | Ye Chen,Yongjin Zhou,Ivanov, K.,et al. Pre-processing for muscle motion analysis: Adaptive guided image filtering for speckle reduction of ultrasound images[C]. 见:2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2013. Osaka, Japan. |
入库方式： OAI收割
来源：深圳先进技术研究院
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