小波分析技术在超声诊断中的优势及应用

Clinical application of wavelet analysis in ultrasonic diagnosis

目的:使用photoshop软件技术,观察研究肿块组织的纹理空间分布特征表现,以提高超声诊断能力。方法:将超声获取的包块组织图像,再经photoshop技术的色彩变换和变换后的小波系数与图像的局部特征的对应关系进行分析。结果:通过对肿块组织的图像测定和小波技术分析,提供了频谱数据及图像的纹理分析信息,获取病灶区域与正常组织纹理定量的数据描述。结论:小波分析技术为临床诊断肿块提供了分辨和分析病灶性质、程度的可靠依据。

Objecive To observe the characteristic appearance of veins spatial distribution of lump＇s tissue by using Photoshop so as to improve the ability of ultrasonic diagnosis.Methods The images of lump＇s tissue gotten from ultrasonic were converted by using Photoshop.Then the corresponding relations between small wave coefficient and local characteristics were analyzed.Result Image determination and wavelet analysis for lump tissue not only provided frequency spectrum and veins analysis for images,but also acquired quantitative data received from focus and normal tissue.Conclusion Wavelet analysis provides reliable basis for distinguishing and analyzing characteristics of focus in clinical lump diagnosis.