小波分析技术在肝肿瘤超声诊断中的应用价值  

Value of wavelet analysis to ultrasonic diagnosis for liver neoplasms

作　　者：王倩云[1] 温雪娟[2] 陆婉玲[3] 

机构地区：[1]解放军第323医院医务处,陕西西安710054 [2]解放军第323医院超声科,陕西西安710054 [3]解放军第323医院肿瘤科,陕西西安710054

出　　处：《中国医学装备》2015年第5期24-26,共3页China Medical Equipment

基　　金：陕西省自然科学基础研究计划(2010JM4053)"氢氧化钠局部注射治疗肝肿瘤的研究"

摘　　要：目的:探讨小波分析技术在肝肿瘤超声诊断中的应用价值。方法:将超声获取的肝肿瘤组织图像,经Photoshop技术变换后的小波系数与图像的组织纹理空间分布及局部特征的对应关系进行分析,即行细节按列排序、列细节按行排序及对角线细节按Z排序。结果:通过小波分析技术对肝肿瘤组织纹理图像的量化分析,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纹理定量的数据描述。结论:小波分析技术为临床早期诊断和治疗肝肿瘤提供了分辨、分析病灶性质及程度的可靠依据。Objective：To investigate the Value of Wavelet Analysis to Ultrasonic Diagnosis for liver neoplasms. Methods： The tissue images of Liver Neoplasms by ultrasonic examination experienced color conversion with Photoshop software, and the corresponding relationship among wavelet coefficient, spacial distribution and local image characteristic after conversion were analyzed, i.e.the row details were arrayed in line sequence,the line details in row sequence and the diagonal details in Zsequence. Results： The frequency spectral data and the image texture information were provided via imaging detection and wavelet analysis of, as well as the quantitative data description of the texture of the foci or the normal tissue. Conclusion：Wavelet analysis provided with a reliable basis for the early clinical diagnosis and treatment for liver neoplasms, 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 肝肿瘤 研究 

分 类 号：R445.1[医药卫生—影像医学与核医学]