Hanley J, Debois MM, Mah D, Mageras GS, Raben A, Rosenzweig K, Mychalczak B, Schwartz LH, Gloeggler PJ, Lutz W, Ling CC, Leibel SA, Fuks Z, Kutcher GJ (1999) Deep inspiration breath-hold technique for lung tumors: the potential value of target immobilization and reduced lung density in dose escalation. Int Radiat Oncol Biol Phys 45(3):603–611
Zhou FG, Wang HX, Yu XG, Yan D (2007) Respiratory motion analysis based on image tracking. Chin J Biomed Eng 26(5):652–657
Zhou Y, Thiruvalluvan K, Krzeminski L, Moore WH, Xu ZG, Liang ZR (2013) CT-guided robotic needle biopsy of lung nodules with respiratory motion-experimental system and preliminary test. Int J Med Robot 9(3):317–330
Karar ME (2018) A simulation study of adaptive force controller for medical robotic liver ultrasound guidance. Arab J Sci Eng 43:4229–4238
Kim YJ, Seo JH, Kim HR, Kim KG (2017) Impedance and admittance control for respiratory-motion compensation during robotic needle insertion-a preliminary test. Int J Med Robot 13(4):493–500
Seitz PK, Baumann B, Johnen W, Lissek C, Seidel J, Bendl R (2020) Development of a robot-assisted ultrasound-guided radiation therapy (USgRT). Int J Comput Assist Radiol Surg 15(3):491–501
Ramrath L, Schlaefer A, Ernst F, Dieterich S, Schweikard A (2007). Prediction of respiratory motion with a multi-frequency based Extended Kalman Filter. In: Proceedings of the 21st International Conference and Exhibition on Computer Assisted Radiology and Surgery (CARS’07), 21: 56–58.
Hong S-M, Bukhari W (2014) Real-time prediction of respiratory motion using a cascade structure of an extended Kalman filter and support vector regression. Phys Med Biol 59(13):3555–3573
Dürichen R, Blanck O, Dieterich S, Ernst F, Schweikard A (2012) Evaluation of a wavelet-based least mean square algorithm for prediction of respiratory movements. The SRS/SBRT Scientific Meeting 2012:S7–S8
Zhang GP (2003) Time series forecasting using a hybrid ARIMA and neural network model. Neurocomputing 50:159–175
Wu H, Sharp GC, Salzberg B, Kaeli D, Shirato H, Jiang SB (2004) A finite state model for respiratory motion analysis in image guided radiation therapy. Phys Med Biol 49(23):5357–5372
Yu Y, Si X, Hu C, Zhang J (2019) A review of recurrent neural networks: LSTM cells and network architectures. Neural Comput 31(7):1235–1270
Schuster M, Paliwal KK (1997) Bidirectional recurrent neural networks. IEEE Trans Signal Process 45(11):2673–2681
Chung J, Gulcehre C, Cho K, Bengio Y (2015) Gated feedback recurrent neural networks. In: Proceedings of the 32nd International Conference on Machine Learning. PMLR, pp 2067–2075
Chen L, Bai L, Li GJ, Quan H, Bai S (2021) Research on real-time motion monitoring accuracy of optical surface imaging system. Chinese J Med Phys 38(9):1053–1056
Dürichen R, Wissel T, Ernst F, Schweikard A (2013) Respiratory motion compensation with relevance vector machines. Med Image Comput Comput Assist Interv 16(2):108–115
Lombardo E, Rabe M, Xiong Y, Nierer L, Cusumano D, Placidi L, Boldrini L, Corradini S, Niyazi M, Belka C, Riboldi M, Kurz C, Landry G (2022) Offline and online LSTM networks for respiratory motion prediction in MR-guided radiotherapy. Phys Med Biol 67(9):095006
Greff K, Srivastava RK, Koutník J, Steunebrink BR, Schmidhuber J (2016) LSTM: a search space odyssey. IEEE Trans Neural Netw Learn Syst 28(10):2222–2232
Lin H, Shi CY, Wang B, Chan MF, Tang XL, Ji W (2019) Towards real-time respiratory motion prediction based on long short-term memory neural networks. Phys Med Biol 64(8):1361–1372
Lin YP, Chen SH, Xu WJ, Zhu XX, Cao QX (2023) Robotic system for accurate percutaneous puncture guided by 3D–2D ultrasound. Int J Comput Assist Radiol Surg 18(2):217–225
Chen SH, Wang F, Lin YP, Shi QS, Wang YL (2021) Ultrasound-guided needle insertion robotic system for percutaneous puncture. Int J Comput Assist Radiol Surg 16(3):475–484
Wang G, Li Z, Li G et al (2021) Real-time liver tracking algorithm based on LSTM and SVR networks for use in surface-guided radiation therapy. Radiat Oncol 16(1):1–12
Wang R, Liang X, Zhu X et al (2018) A feasibility of respiration prediction based on deep Bi-LSTM for real-time tumor tracking. IEEE Access 6:51262–51268
Comments (0)