Frequency-Domain Robust PCA for Real-Time Monitoring of HIFU Treatment

作者全名："Yang, Kun; Li, Qiang; Xu, Jiahong; Tang, Meng-Xing; Wang, Zhibiao; Tsui, Po-Hsiang; Zhou, Xiaowei"

作者地址："[Yang, Kun; Li, Qiang] Tianjin Univ, Sch Microelect, Tianjin 300072, Peoples R China; [Xu, Jiahong; Wang, Zhibiao; Zhou, Xiaowei] Chongqing Med Univ, Coll Biomed Engn, State Key Lab Ultrasound Engn Med, Chongqing 400016, Peoples R China; [Tang, Meng-Xing] Imperial Coll London, Dept Bioengn, London SW7 2AZ, England; [Tsui, Po-Hsiang] Chang Gung Univ, Coll Med, Dept Med Imaging & Radiol Sci, Taoyuan 333323, Taiwan; [Tsui, Po-Hsiang] Chang Gung Mem Hosp Linkou, Dept Pediat, Div Pediat Gastroenterol, Taoyuan 333423, Taiwan"

通信作者："Zhou, XW (通讯作者)，Chongqing Med Univ, Coll Biomed Engn, State Key Lab Ultrasound Engn Med, Chongqing 400016, Peoples R China.; Tsui, PH (通讯作者)，Chang Gung Univ, Coll Med, Dept Med Imaging & Radiol Sci, Taoyuan 333323, Taiwan.; Tsui, PH (通讯作者)，Chang Gung Mem Hosp Linkou, Dept Pediat, Div Pediat Gastroenterol, Taoyuan 333423, Taiwan."

来源：IEEE TRANSACTIONS ON MEDICAL IMAGING

ESI学科分类：CLINICAL MEDICINE

WOS号：WOS:001285367200005

JCR分区：Q1

影响因子：10.6

年份：2024

卷号：43

期号：8

开始页：3001

结束页：3012

文献类型：Article

关键词：Sparse matrices; Interference; Imaging; Matrix decomposition; Principal component analysis; Biomedical imaging; High intensity focused ultrasound (HIFU); ultrasound imaging; HIFU interference; robust principal component analysis (RPCA); robust principal component analysis (RPCA)

摘要："High intensity focused ultrasound (HIFU) is a thriving non-invasive technique for thermal ablation of tumors, but significant challenges remain in its real-time monitoring with medical imaging. Ultrasound imaging is one of the main imaging modalities for monitoring HIFU surgery in organs other than the brain, mainly due to its good temporal resolution. However, strong acoustic interference from HIFU irradiation severely obscures the B-mode images and compromises the monitoring. To address this problem, we proposed a frequency-domain robust principal component analysis (FRPCA) method to separate the HIFU interference from the contaminated B-mode images. Ex-vivo and in-vivo experiments were conducted to validate the proposed method based on a clinical HIFU therapy system combined with an ultrasound imaging platform. The performance of the FRPCA method was compared with the conventional notch filtering method. Results demonstrated that the FRPCA method can effectively remove HIFU interference from the B-mode images, which allowed HIFU-induced grayscale changes at the focal region to be recovered. Compared to notch-filtered images, the FRPCA-processed images showed an 8.9% improvement in terms of the structural similarity (SSIM) index to the uncontaminated B-mode images. These findings demonstrate that the FRPCA method presents an effective signal processing framework to remove the strong HIFU acoustic interference, obtains better dynamic visualization in monitoring the HIFU irradiation process, and offers great potential to improve the efficacy and safety of HIFU treatment and other focused ultrasound related applications."

基金机构："Postgraduate Research Innovation Project of Tianjin, China [2021YJSB118]; Tianjin Natural Science Foundation [22JCZDJC00220]; Foundation of State Key Laboratory of Ultrasound in Medicine and Engineering [2022KFKT004]; National Science Foundation of China [12304508]; National Science and Technology Council in Taiwan [NSTC 112-2221-E-182 -006-MY3]"

基金资助正文："This work was supported in part by the Postgraduate Research Innovation Project of Tianjin, China, under Grant 2021YJSB118; in part by Tianjin Natural Science Foundation under Grant 22JCZDJC00220; in part by the Foundation of State Key Laboratory of Ultrasound in Medicine and Engineering under Grant 2022KFKT004; in part by the National Science Foundation of China under Grant 12304508; and in part by the National Science and Technology Council in Taiwan under Grant NSTC 112-2221-E-182 -006-MY3."