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- Source :
- Sheng Wu Yi Xue Gong Cheng Xue Za Zhi
- Publication Year :
- 2019
-
Abstract
- This paper explored the feasibility of using ultrasonic Nakagami statistic parameter imaging to evaluate the thermal lesion induced by microwave ablation (MWA) in porcine models. In this paper, thermal lesions were induced in livers and kidneys in 5 swines using a clinical MWA system. During this treatment progress, ultrasonic radiofrequency (RF) data were collected. The dynamic changes of Nakagami parameter in the thermal lesion were calculated, and the ultrasonic B-mode images and Nakagami images were reconstructed simultaneously. The contrast-to-noise ratio (CNR) between the thermal lesion and the surrounding normal tissue was calculated over the MWA procedure. After MWA, a bright hyperechoic region appeared in the ultrasonic Nakagami image as an indicator of the thermal lesion and this bright spot enlarged with lesion development during MWA exposure. The mean value of Nakagami parameter in the liver and kidney increased from 0.78 and 0.79 before treatment to 0.91 and 0.92 after treatment, respectively. During MWA exposure, the mean values of CNR calculated from the Nakagami parameter increased from 0.49 to 1.13 in the porcine liver and increased from 0.51 to 0.85 in the kidney, which were both higher than those calculated from the B-mode images. This为了验证采用超声 Nakagami 统计参量成像对微波热消融治疗过程进行监控成像的可行性,本文提出并研究了采用超声 Nakagami 统计参量成像对活体猪肝脏和肾脏的微波热消融过程进行监控成像的方法。本文对 5 头实验猪进行微波热消融治疗,治疗中同步采集超声射频(RF)数据,实验后计算了热凝固区域超声 Nakagami 统计参量的动态变化,同步构建超声 B 模式图像和 Nakagami 统计参量图像,并计算热凝固区域和周边正常组织之间的对比噪声比值(CNR)。微波热消融后,超声 Nakagami 统计参量图像中出现高亮强回声区域,并随着治疗时间的增加而逐步增大。经计算,肝、肾的超声 Nakagami 统计参量平均值分别从治疗前的 0.78、0.79 增大到 0.91、0.92;肝、肾的超声 Nakagami 统计参量图像的 CNR 平均值从 0.49、0.51 增加到 1.13、0.85,均高于相应超声 B 模式图像的 CNR 值。本研究表明,使用超声 Nakagami 统计参量成像在微波热消融治疗中进行监控具有一定的可行性。.
Details
- ISSN :
- 10015515
- Volume :
- 36
- Issue :
- 3
- Database :
- OpenAIRE
- Journal :
- Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi
- Accession number :
- edsair.pmid..........91cda401b80ce1c6750ab06f8d01f6e3