聚焦超声治疗系统中超声图像去噪方法研究

Study of Denoising Ultrasound Image in Focused Ultrasound Surgery

利用超声成像实现手术导引治疗是聚焦超声治疗系统的重要环节。由于超声图像受散粒噪声影响往往像质较差 ,如何有效实现超声图像的去噪是后续处理和分析的关键。在此基于小波域隐马尔可夫树模型 ,将贝叶斯估计和同态滤波思想有机结合 ,提出一种新的医学超声图像去噪方法。测试结果表明此方法能有效去除噪声 ,同时保留原始图像的细节边缘。

Ultrasound imaging used for guiding surgery is important step in focused ultrasound sugery .Due to low quality of ultrasound image by speckle noise,efficient denoising method is needed for processing and analyzing.Based on wavelet domain Hidden Markov model, a novel speckle suppression method for medical ultrasound images is presented which combines Bayesian estimation and homomorphic filtering.Performance of the proposed method has been tested on ultrasound image.The results show the method effectively reduces the speckle while preserving the edges of the original image.