MVision图像质量优化算法研究

The Development of Optimization Algorithm on MVision Image Quality

目的优化MVision协议重建图像的画面质量,提高图像的空间分辨率、软组织对比度,减少图像的噪声信号和"吸盘"伪影。方法采用了平滑滤波、边缘增强、边缘保留和MVision解剖滤波等各种图像优化算法,对MVision协议的原始重建图像进行优化处理,并将通过不同算法处理后的各图像序列进行配准比较。结果经过平滑滤波后的图像与经边缘增强、边缘保留处理后的图像相对比,前者软组织显像更清晰,而后者图像空间分辨率更高,但出现较多噪声信号。同时,结合解剖滤波处理后的图像,其吸盘伪影也基本消失。结论通过有目的性地选用各种MVision协议图像优化算法,可以在不同程度上实现对MVision图像质量的优化。

Objective Optimizing the image quality of the MVision protocol, improving the space resolution, soft tissue contrast, reducing the noise signal and sucker pan artifact. Methods Adopting the smoothing filter, edge enhance, edge preservation and anatomy filter algorithms to optimise the reconstruction image, and then comparing the several image sequences which are delt with by different algorithms. Results Comparing the images of smoothing filter with the images of edge enhance, edge preservation, the former seems clearer soft tissue image, but the latter seems higher image room resolution and more noise signal. Meanwhile, if the anatomy filter algorithm is utilized to deal with the image, the sucker pan artificate disappears. Conclusions In order to optimise the image quality of MVision protocol, we should appropriately select the various optimisation algorithms to improve the image quality.