Liu Xi, Duan Yun You, Wang Jia, Sun Si Guo, Li Juan, Hou Wei Hua, Cao Tie Sheng
Department of Ultrasound Diagnostics, Tangdu Hospital, Fourth Military Medical University, Xi'an, China.
Ultrasound Med Biol. 2009 Sep;35(9):1502-9. doi: 10.1016/j.ultrasmedbio.2009.04.005. Epub 2009 Jul 25.
Vascular enhancement technology (VET) is a new form of ultrasonographic technology that can optimize images by enhancing the B-mode display with information derived from power Doppler. We designed an in vitro model to evaluate the accuracy and application method of VET and to apply this technology preliminarily in vivo in the vascular periphery. An in vitro model was designed with a flow pump system to simulate blood flow in soft tissue and the intracranial vasculature. Modeling vessels were imaged by traditional B mode, color Doppler flow imaging and VET. The diameter of the various silicon tubes was measured to verify the accuracy of VET. For in vivo application, 15 normal subjects and 26 patients suspected of having carotid artery plaques and cerebrovascular disease were examined using these three image modes. The imaging effects were observed and compared. VET imaging could clarify the lumens of the modeling vessels and reduce artifacts. The caliber of three sizes of silicon tubing was also measured accurately by VET. Of 15 normal subjects, sound artifacts in large vessels were inhibited and the intermedia membrane was clearly displayed by VET. The boundaries of carotid plaques were manifested by VET with well-defined edges. Three cases of hypoechoic soft plaque on the anterior wall missed in B-mode imaging were detected by VET. Intracranial scanning with VET identified cerebral vascular disease, including cerebral stenosis, arteriovenous malformations and aneurysms. The size and shape of the focus displayed by VET coincided with that observed using digital subtraction arteriography. VET is helpful in improving detection of the boundary of vessels and visualization of the microvasculature.
血管增强技术(VET)是一种新型超声技术,它可以通过利用从功率多普勒获得的信息增强B模式显示来优化图像。我们设计了一个体外模型来评估VET的准确性和应用方法,并将该技术初步应用于血管周围的体内研究。设计了一个带有流量泵系统的体外模型,以模拟软组织和颅内血管系统中的血流。通过传统B模式、彩色多普勒血流成像和VET对模拟血管进行成像。测量各种硅胶管的直径以验证VET的准确性。对于体内应用,使用这三种成像模式对15名正常受试者和26名疑似患有颈动脉斑块和脑血管疾病的患者进行了检查。观察并比较成像效果。VET成像可以清晰显示模拟血管的管腔并减少伪像。VET还能准确测量三种尺寸硅胶管的管径。在15名正常受试者中,VET抑制了大血管中的声伪像,并清晰显示了中膜。VET显示出颈动脉斑块边界清晰。VET检测到3例B模式成像漏诊的前壁低回声软斑块。VET颅内扫描可识别包括脑狭窄、动静脉畸形和动脉瘤在内的脑血管疾病。VET显示的病灶大小和形状与数字减影血管造影观察到的一致。VET有助于改善血管边界的检测和微血管的可视化。