小波分析技术在椎旁及腰大肌肿块超声诊断中的应用  

Application of Wavelet Analysis to Ultrasonic Diagnosis for Masses beside Vertebra and in Psoas Major

作　　者：温雪娟[1] 王小英[1] 黄静[1] 李克坤[1] 

机构地区：[1]解放军第323医院特诊科,陕西西安710054

出　　处：《临床军医杂志》2010年第1期131-132,F0004,共3页Clinical Journal of Medical Officers

摘　　要：目的使用photoshop计算机技术,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。方法将超声获取的图像组织,再经photoshop技术的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,即:行细节按列排序,列细节按行排序,对角线细节按Z排序。结果通过对椎旁及腰大肌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,获取了病灶区域与正常组织的纹理定量的数据描述。结论小波分析技术为临床诊断椎旁及腰大肌肿块提供了分辨和分析病灶性质、程度的可靠依据。Objective To investigate the spacial distribution of reass imaging texture by Photoshop software, so as to improve the ability in ultrasonic diagnosis. Methods The tissue images obtained by ultrasonic examination experienced color conversion with Photoshop, and the corresponding relationship between wavelet coefficient and local image characteristic after conversion was then analyzed, i.e. the row details were arrayed in line sequence, the line details in row sequence and the diagonal details in Z sequence. Results The frequency spectral data and the image texture information were provided via imaging detection and wavelet analysis of the masses beside vertebra and in psoas major, as well as the quantitative data description of the texture of the foci or the normal tissue. Conclusion Wavelet analysis provides with a reliable basis for the clinical diagnosis of the masses beside vertebra and in psoas major, by which the focal character and degree can be differentiated or analyzed.

关 键 词：小波分析技术 B超检查 椎旁及腰大肌肿块 

分 类 号：R445.1[医药卫生—影像医学与核医学]