Full-Text Search:
Home|Journal Papers|About CNKI|User Service|FAQ|Contact Us|中文
《Chinese Journal of Medical Imaging Technology》 2010-09
Add to Favorite Get Latest Update

Distribution features of left ventricular wall deformation in normal persons assessed with vector velocity imaging technique

SUN Hui1, ZHAO Bao-zhen2, YANG Bin1(1.Department of Ultrasound, Nanjing General Hospital of Nanjing Military Command, Nanjing 210002, China; 2.Department of Ultrasound, Changhai Hospital, the Second Military Medical University, Shanghai 200433, China)  
Objective To explore the deformation features of left ventricular (LV) wall in normal persons with vector velocity imaging (VVI) technique. Methods Forty-seven healthy volunteers were enrolled in the study. Two-dimensional grayscale images of both serial parasternal LV short axis views and apical LV longitudinal views were acquired and dynamically stored for three consecutive cardiac cycles. The curves of different component of strain were displayed automatically with the VVI software. The features of all the curves and the systolic peak values of each curve according to the synchronously recorded electrocardiogram were observed. Results There was no significant difference in each component of strain among different LV levels. Among components of strain, radial component was the highest, and longitudinal component was the lowest (P0.05). There also existed significant difference between the endocardial measurement and epicardial measurement in both longitudinal and circumferential strain components of LV free wall (all P0.05). As for interventricular septum the difference also existed, but it didn’t reach the significant standard (all P0.05). Conclusion There are some characteristics in strain distribution of LV wall in normal persons. The appreciation of these features would be instructive on detecting the abnormal deformation.
【CateGory Index】: R445.1
Download(CAJ format) Download(PDF format)
CAJViewer7.0 supports all the CNKI file formats; AdobeReader only supports the PDF format.
©2006 Tsinghua Tongfang Knowledge Network Technology Co., Ltd.(Beijing)(TTKN) All rights reserved