一种MRI序列去噪优化方法仿真

Simulation of Optimization Method of MRI Sequence Denoising

研究磁共振(MRI)图像的优化去噪问题。磁共振图像中容易出现放射成像混淆,造成图像噪声很大的弊端,从而降低了MRI图像的质量,无法根据该图像对临床病人进行准确的诊断,提高了临床诊断的误诊率。为此,提出一种基于空间域滤波算法的MBI序列去噪优化方法。利用小包分解方法,对MRI图像进行有效的分解,根据分解结果进行图像重构,从而实现MRI图像的增强处理,为MRI序列去噪提供依据。根据空间域滤波算法,针对MRI序列中的所有图像进行去噪处理,从而实现MRI序列的去噪优化。实验结果表明,利用上述算法进行MRI序列去噪优化,能够极大的提高MRI图像的清晰度,从而满足临床医学的诊断需求。

The optimal denoising of the magnetic resonance image （MRI） was studied in this paper. We put for ward an optimization method for MRI sequence denoising based on space domain filter algorithm. Using packet de composition method, the MRI images can be effectively decomposed. According to the result of decomposition, image reconstruction can be performed, so as to realize the MRI image enhancement processing and provide the basis for MRI sequence denoising. According to the spatial domain filtering algorithm, all images in MRI sequence were dealt with for denoising processing to realize the denoising optimization of MRI sequence. The experimental results show that the improved algorithm used for MRI sequence denoising optimization can greatly increase the clarity of MRI im age, and meet the demand of clinical diagnosis.