Artificial intelligence-assisted ultrasound-guided focused ultrasound therapy: a feasibility study

References

• Kennedy JE. High-intensity focused ultrasound in the treatment of solid tumours. Nat Rev Cancer. 2005;5(4):321–327. doi: 10.1038/nrc1591.
   PubMed Web of Science ®Google Scholar
• Kennedy JE, Ter Haar GR, Cranston D. High intensity focused ultrasound: surgery of the future? Br J Radiol. 2003;76(909):590–599. doi: 10.1259/bjr/17150274.
   PubMed Web of Science ®Google Scholar
• > Gail ter Haar and C. Coussios, High intensity focused ultrasound: physical principles and devices. Int J Hyperthermia. 2007; 23:(2):89–104. doi: 10.1080/02656730601186138.
   PubMed Web of Science ®Google Scholar
• Dubinsky TJ, Cuevas C, Dighe MK, et al. High-intensity focused ultrasound: current potential and oncologic applications. AJR Am J Roentgenol. 2008;190(1):191–199. doi: 10.2214/AJR.07.2671.
   PubMed Web of Science ®Google Scholar
• Swamy KM. Ultrasound for BP measurement and treatment in subjects with resistant hypertension. In International Symposium on Ultrasonics. 2015;22(24):108–119.
   Google Scholar
• Blana A, Walter B, Rogenhofer S, et al. High-intensity focused ultrasound for the treatment of localized prostate cancer: 5-year experience. Urology. 2004;63(2):297–300. doi: 10.1016/j.urology.2003.09.020.
   PubMed Web of Science ®Google Scholar
• Gelet A, Chapelon JY, Bouvier R, et al. Local control of prostate cancer by transrectal high intensity focused ultrasound therapy: preliminary results. J. Urol. 1999;161(1):156–162. doi: 10.1016/S0022-5347(01)62087-1.
   PubMed Web of Science ®Google Scholar
• Azzouz H, De la Rosette J. HIFU: local treatment of prostate cancer. Eau-Ebu Updat. Ser. 2006;4(2):62–70. doi: 10.1016/j.eeus.2006.01.002.
   Google Scholar
• Li C-X, Xu G-L, Jiang Z-Y, et al. Analysis of clinical effect of high-intensity focused ultrasound on liver cancer. World J Gastroenterol. 2004;10(15):2201–2204. doi: 10.3748/wjg.v10.i15.2201.
   PubMed Web of Science ®Google Scholar
• Vaezy S, Martin R, Schmiedl U, et al. Liver hemostasis using high-intensity focused ultrasound. Ultrasound Med Biol. 1997;23(9):1413–1420. doi: 10.1016/s0301-5629(97)00143-9.
   PubMed Web of Science ®Google Scholar
• Kennedy JE, Wu F, ter Haar GR, et al. High-intensity focused ultrasound for the treatment of liver tumours. Ultrasonics. 2004;42(1-9):931–935. doi: 10.1016/j.ultras.2004.01.089.
   PubMed Web of Science ®Google Scholar
• Furusawa H. MRI-Guided focused ultrasound surgery of breast cancer. In: Non-surgical ablation therapy for early-stage breast cancer. Springer; 2016. p. 173–181.
   Google Scholar
• Furusawa H, Namba K, Nakahara H, et al. The evolving non-surgical ablation of breast cancer: MR guided focused ultrasound (MRgFUS). Breast Cancer. 2007;14(1):55–58. doi: 10.2325/jbcs.14.55.
   PubMedGoogle Scholar
• Wu F, Wang Z-B, Zhu H, et al. Extracorporeal high intensity focused ultrasound treatment for patients with breast cancer. Breast Cancer Res Treat. 2005;92(1):51–60. doi: 10.1007/s10549-004-5778-7.
   PubMed Web of Science ®Google Scholar
• Illing RO, Kennedy JE, Wu F, et al. The safety and feasibility of extracorporeal high-intensity focused ultrasound (HIFU) for the treatment of liver and kidney tumours in a Western population. Br J Cancer. 2005;93(8):890–895. doi: 10.1038/sj.bjc.6602803.
   PubMed Web of Science ®Google Scholar
• Adams JB, Moore RG, Anderson JH, et al. High-intensity focused ultrasound ablation of rabbit kidney tumors. J Endourol. 1996;10(1):71–75. doi: 10.1089/end.1996.10.71.
   PubMed Web of Science ®Google Scholar
• Marberger M, Schatzl G, Cranston D, et al. Extracorporeal ablation of renal tumours with high‐intensity focused ultrasound. BJU Int. 2005;95 Suppl 2(s2):52–55. doi: 10.1111/j.1464-410X.2005.05200.x.
   PubMedGoogle Scholar
• Chen W, Zhu H, Zhang L, et al. Primary bone malignancy: effective treatment with high-intensity focused ultrasound ablation. Radiology. 2010;255(3):967–978. doi: 10.1148/radiol.10090374.
   PubMed Web of Science ®Google Scholar
• Li C, Zhang W, Fan W, et al. Noninvasive treatment of malignant bone tumors using high‐intensity focused ultrasound. Cancer. 2010;116(16):3934–3942. doi: 10.1002/cncr.25192.
   PubMed Web of Science ®Google Scholar
• Huisman M, Lam MK, Bartels LW, et al. Feasibility of volumetric MRI-guided high intensity focused ultrasound (MR-HIFU) for painful bone metastases. J Ther Ultrasound. 2014;2(1):16. doi: 10.1186/2050-5736-2-16.
   PubMedGoogle Scholar
• Peek MCL, Wu F. High-intensity focused ultrasound in the treatment of breast tumours. Ecancermedicalscience. 2018;12:794. doi: 10.3332/ecancer.2018.794.
   PubMed Web of Science ®Google Scholar
• Rivens I, Shaw A, Civale J, et al. Treatment monitoring and thermometry for therapeutic focused ultrasound. Int J Hyperthermia. 2007;23(2):121–139. doi: 10.1080/02656730701207842.
   PubMed Web of Science ®Google Scholar
• Yu T, Xu C. Hyperecho as the indicator of tissue necrosis during microbubble-assisted high intensity focused ultrasound: sensitivity, specificity and predictive value. Ultrasound Med Biol. 2008;34(8):1343–1347. doi: 10.1016/j.ultrasmedbio.2008.01.012.
   PubMed Web of Science ®Google Scholar
• Ebbini ES, Ter Haar G. Ultrasound-guided therapeutic focused ultrasound: current status and future directions. Int J Hyperthermia. 2015;31(2):77–89. doi: 10.3109/02656736.2014.995238.
   PubMed Web of Science ®Google Scholar
• Escoffre J-M, Bouakaz A. Therapeutic ultrasound. vol. 880. Springer; 2015.
   Google Scholar
• Vaezy S, Shi X, Martin RW, et al. Real-time visualization of high-intensity focused ultrasound treatment using ultrasound imaging. Ultrasound Med Biol. 2001;27(1):33–42. doi: 10.1016/s0301-5629(00)00279-9.
   PubMed Web of Science ®Google Scholar
• Seip R, et al. High-intensity focused ultrasound (HIFU) multiple lesion imaging: comparison of detection algorithms for real-time treatment control. In 2002 IEEE Ultrasonics Symposium, 2002. Proceedings., 2002, vol. 2, p. 1427–1430.
   Google Scholar
• Jenne JW, Preusser T, Günther M. High-intensity focused ultrasound: principles, therapy guidance, simulations and applications. Z Med Phys. 2012;22(4):311–322. doi: 10.1016/j.zemedi.2012.07.001.
   PubMed Web of Science ®Google Scholar
• Izadifar Z, Izadifar Z, Chapman D, et al. An introduction to high intensity focused ultrasound: systematic review on principles, devices, and clinical applications. J Clin Med. 2020;9(2):460. doi: 10.3390/jcm9020460.
   PubMed Web of Science ®Google Scholar
• Curiel L, Chopra R, Hynynen K. In vivo monitoring of focused ultrasound surgery using local harmonic motion. Ultrasound Med Biol. 2009;35(1):65–78. doi: 10.1016/j.ultrasmedbio.2008.07.001.
   PubMed Web of Science ®Google Scholar
• Maleke C, Konofagou EE. Harmonic motion imaging for focused ultrasound (HMIFU): a fully integrated technique for sonication and monitoring of thermal ablation in tissues. Phys Med Biol. 2008;53(6):1773–1793. doi: 10.1088/0031-9155/53/6/018.
   PubMed Web of Science ®Google Scholar
• Righetti R, Kallel F, Stafford RJ, et al. Elastographic characterization of HIFU-induced lesions in canine livers. Ultrasound Med Biol. 1999;25(7):1099–1113. doi: 10.1016/s0301-5629(99)00044-7.
   PubMed Web of Science ®Google Scholar
• Kennedy JE, ter Haar GR, Wu F, et al. Contrast-enhanced ultrasound assessment of tissue response to high-intensity focused ultrasound. Ultrasound Med Biol. 2004;30(6):851–854. doi: 10.1016/j.ultrasmedbio.2004.03.011.
   PubMed Web of Science ®Google Scholar
• Zhang S, Shang S, Han Y, et al. Ex vivo and in vivo monitoring and characterization of thermal lesions by high-intensity focused ultrasound and microwave ablation using ultrasonic nakagami imaging. IEEE Trans Med Imaging. 2018;37(7):1701–1710. doi: 10.1109/TMI.2018.2829934.
   PubMed Web of Science ®Google Scholar
• Ronneberger O, Fischer P, Brox T. U-net: convolutional networks for biomedical image segmentation. In International Conference on Medical image computing and computer-assisted intervention, 2015, p. 234–241.
   Google Scholar
• Orhan AE, Pitkow X. “Skip connections eliminate singularities,” arXiv Prepr. arXiv1701.09175, 2017.
   Google Scholar
• Hendrycks D, Gimpel K. “Gaussian error linear units (gelus),” arXiv Prepr. arXiv1606.08415, 2016.
   Google Scholar
• Ba JL, Kiros JR, Hinton GE. “Layer normalization,” arXiv Prepr. arXiv1607.06450, 2016.
   Google Scholar
• Wu D, Wang Y, Xia S-T, et al. “Skip connections matter: on the transferability of adversarial examples generated with resnets,” arXiv Prepr. arXiv2002.05990, 2020.
   Google Scholar
• Liu Z, et al. Swin transformer: hierarchical vision transformer using shifted windowsin Proceedings of the IEEE/CVF international conference on computer vision, 2021, p. 10012–10022.
   Google Scholar
• Jadon S. A survey of loss functions for semantic segmentation in 2020 IEEE conference on computational intelligence in bioinformatics and computational biology (CIBCB), 2020, p. 1–7. doi: 10.1109/CIBCB48159.2020.9277638.
   Google Scholar
• Rajput V. “Robustness of different loss functions and their impact on networks learning capability,” arXiv Prepr. arXiv2110.08322, 2021.
   Google Scholar
• Marks L, Young S, Natarajan S. MRI–ultrasound fusion for guidance of targeted prostate biopsy. Curr Opin Urol. 2013;23(1):43–50. doi: 10.1097/MOU.0b013e32835ad3ee.
   PubMed Web of Science ®Google Scholar