Lee Hunjong, Chung Euisuk, Yoon Heechul, Song Tai-Kyong
Department of Electronic Engineering, Sogang University, Seoul, Korea.
School of Electronics and Electrical Engineering, Dankook University, Yongin, Korea.
Ultrasonography. 2023 Apr;42(2):343-353. doi: 10.14366/usg.22144. Epub 2022 Nov 23.
High-intensity focused ultrasound (HIFU) is an emerging therapeutic tool for the effective thermal ablation of pathological tissue. For accurate localization of the target and safe control of the HIFU dosage, real-time imaging guidance during the HIFU exposure is desired. Ultrasound imaging has the capability to guide clinicians toward a lesion in real time, but is not an ideal option, as HIFU application causes strong interference, thereby substantially distorting the images used for guidance. Thus, this study introduces singular value decomposition-based filtering capable of restoring ultrasound harmonic images from HIFU interference without undesirable spectral distortion. The results were experimentally validated with a custom-made phantom, indicating that this approach effectively eliminates HIFU-induced artifacts, which is essential for real-time monitoring of the therapeutic process.
高强度聚焦超声(HIFU)是一种用于有效热消融病理组织的新兴治疗工具。为了精确地定位目标并安全地控制HIFU剂量,需要在HIFU照射期间进行实时成像引导。超声成像有能力实时引导临床医生找到病变部位,但它不是一个理想的选择,因为HIFU的应用会产生强烈干扰,从而严重扭曲用于引导的图像。因此,本研究引入了基于奇异值分解的滤波方法,该方法能够从HIFU干扰中恢复超声谐波图像,且不会产生不良的频谱失真。通过定制的体模对结果进行了实验验证,表明该方法有效地消除了HIFU诱导的伪像,这对于治疗过程的实时监测至关重要。