title: Monitoring radiofrequency ablation using real-time ultrasound Nakagami imaging combined with frequency and temporal compounding techniques.
abstract: Gas bubbles induced during the radiofrequency ablation (RFA) of tissues can affect the detection of ablation zones (necrosis zone or thermal lesion) during ultrasound elastography. To resolve this problem, our previous study proposed ultrasound Nakagami imaging for detecting thermal-induced bubble formation to evaluate ablation zones. To prepare for future applications, this study (i) created a novel algorithmic scheme based on the frequency and temporal compounding of Nakagami imaging for enhanced ablation zone visualization, (ii) integrated the proposed algorithm into a clinical scanner to develop a real-time Nakagami imaging system for monitoring RFA, and (iii) investigated the applicability of Nakagami imaging to various types of tissues. The performance of the real-time Nakagami imaging system in visualizing RFA-induced ablation zones was validated by measuring porcine liver (n = 18) and muscle tissues (n = 6). The experimental results showed that the proposed algorithm can operate on a standard clinical ultrasound scanner to monitor RFA in real time. The Nakagami imaging system effectively monitors RFA-induced ablation zones in liver tissues. However, because tissue properties differ, the system cannot visualize ablation zones in muscle fibers. In the future, real-time Nakagami imaging should be focused on the RFA of the liver and is suggested as an alternative monitoring tool when advanced elastography is unavailable or substantial bubbles exist in the ablation zone.
authors: College of Life Science and Bioengineering, Beijing University of Technology, Beijing, China.
authors: Zhuhuang
authors: Z
authors: Zhou
authors: College of Life Science and Bioengineering, Beijing University of Technology, Beijing, China.
authors: Shuicai
authors: S
authors: Wu
authors: Department of Medical Imaging and Radiological Sciences, College of Medicine, Chang Gung University, Taoyuan, Taiwan; Graduate Institute of Clinical Medical Sciences, College of Medicine, Chang Gung University, Taoyuan, Taiwan.
authors: Chiao-Yin
authors: CY
authors: Wang
authors: Department of Medical Imaging and Radiological Sciences, College of Medicine, Chang Gung University, Taoyuan, Taiwan; Graduate Institute of Clinical Medical Sciences, College of Medicine, Chang Gung University, Taoyuan, Taiwan.
authors: Hsiang-Yang
authors: HY
authors: Ma
authors: Department of Computer Science and Information Engineering, Chang Gung University, Taoyuan, Taiwan.
authors: Chung-Chih
authors: CC
authors: Lin
authors: Department of Medical Imaging and Radiological Sciences, College of Medicine, Chang Gung University, Taoyuan, Taiwan; Medical Imaging Research Center, Institute for Radiological Research, Chang Gung University and Chang Gung Memorial Hospital at Linkou, Taoyuan, Taiwan.
authors: Po-Hsiang
authors: PH
authors: Tsui
mesh_terms: D000818:Animals; D017115:Catheter Ablation / Q000379:methods*; D008099:Liver / Q000000981:diagnostic imaging / Q000473:pathology / Q000601:surgery; D015233:Models, Statistical; D009132:Muscles / Q000000981:diagnostic imaging / Q000473:pathology / Q000601:surgery; D013552:Swine; D014463:Ultrasonography