Simulation of multi-probe radiofrequency ablation guided by optical surgery navigation system under different active modes

References

• Li D, Kang J, Golas BJ, et al. Minimally invasive local therapies for liver cancer. Cancer Biol Med. 2014;11:217–236.
   Google Scholar
• Wright AS, Mahvi DM, Haemmerich DG, et al. Minimally invasive approaches in management of hepatic tumors. Surg Technol Int. 2001;11:144–153.
   Google Scholar
• Brace CL. Radiofrequency and microwave ablation of the liver, lung, kidney, and bone: what are the differences? Curr Prob Diagn Radiol. 2009;38:135–143.
   Google Scholar
• Mezger U, Jendrewski C, Bartels M. Navigation in surgery. Langenbeck Arch Surg. 2013;398:501–514.
   Google Scholar
• Chi C, Du Y, Ye J, et al. Intraoperative imaging-guided cancer surgery: from current fluorescence molecular imaging methods to future multi-modality imaging technology. Theranostics. 2014;4:1072–1084.
   Google Scholar
• Mountney P, Stoyanov D, Yang G-Z. Three-dimensional tissue deformation recovery and tracking. IEEE Signal Proc Mag. 2010;27:14–24.
   Google Scholar
• Yang R, Wang Z, Liu S, et al. Design of an accurate near infrared optical tracking system in surgical navigation. J Lightwave Technol. 2013;31:223–231.
   Google Scholar
• Lin Q, Yang R, Cai K, et al. Real-time automatic registration in optical surgical navigation. Infrared Phys Technol. 2016;76:375–385.
   Google Scholar
• Lin Q, Yang R, Cai K, et al. Strategy for accurate liver intervention by an optical tracking system. Biomed Opt Exp. 2015;6:3287–3302.
   Google Scholar
• Cai K, Yang R, Lin Q, et al. Near-infrared camera calibration for optical surgical navigation. J Med Syst. 2016;40:1–12.
   Google Scholar
• Cai K, Yang R, Ning H, et al. An automatic algorithm for distinguishing optical navigation markers used during surgery. Dyna. 2015;90:203–209.
   Google Scholar
• Park MJ, Kim YS, Rhim H, et al. A comparison of US-guided percutaneous radiofrequency ablation of medium-sized hepatocellular carcinoma with a cluster electrode or a single electrode with a multiple overlapping ablation technique. J Vasc Intervent Radiol. 2011;22:771–779.
   Google Scholar
• Solbiati L, Livraghi T, Goldberg SN, et al. Percutaneous radio-frequency ablation of hepatic metastases from colorectal cancer: long-term results in 117 patients. Radiology. 2001;221:159–166.
   Google Scholar
• Chen M-H, Yang W, Yan K, et al. Large liver tumors: protocol for radiofrequency ablation and its clinical application in 110 patients—mathematic model, overlapping mode, and electrode placement process. Radiology. 2004;232:260–271.
   Google Scholar
• Chen MH, Yang W, Yan K, et al. Radiofrequency ablation of problematically located hepatocellular carcinoma: tailored approach. Abdom Imag. 2008;33:428–436.
   Google Scholar
• Hänsler J, Frieser M, Tietz V, et al. Percutaneous ultrasound-guided radiofrequency ablation (RFA) using saline-perfused (wet) needle electrodes for the treatment of hepatocellular carcinoma – long term experience. Ultraschall Med. 2007;28:604–611.
   Google Scholar
• Mulier S, Jiang Y, Wang C, et al. Bipolar radiofrequency ablation with four electrodes: ex vivo liver experiments and finite element method analysis. Influence of inter-electrode distance on coagulation size and geometry. Int J Hyperthermia. 2012;28:686–697.
   Google Scholar
• Mulier S, Miao Y, Mulier P, et al. Electrodes and multiple electrode systems for radiofrequency ablation: a proposal for updated terminology. Eur Radiol. 2005;15:798–808.
   Google Scholar
• Alba J, González-Suárez A, Trujillo M, et al. Theoretical and experimental study on RF tumor ablation with internally cooled electrodes: when does the roll-off occur? Conf Proc IEEE Eng Med Biol Soc. 2011;2011:314–317.
   Google Scholar
• Trujillo M, Berjano E. Review of the mathematical functions used to model the temperature dependence of electrical and thermal conductivities of biological tissue in radiofrequency ablation. Int J Hyperthermia. 2013;29:590–597.
   Google Scholar
• Zhang R, Liu H, Li H. Finite element analysis of radiofrequency ablation process in soft tissue sarcomas. Paper presented at: 4th IEEE International Conference on Information Science and Technology (ICIST), 2014 Apr 26–28; Shenzhen, Guangdong, China:358–363.
   Google Scholar
• Bin X, Jian-Feng M, Xuan W. Image analysis by Bessel-Fourier moments. Patt Recog. 2010;43:2620–2629.
   Google Scholar
• Shih T-C, Horng T-L, Huang H-W, et al. Numerical analysis of coupled effects of pulsatile blood flow and thermal relaxation time during thermal therapy. Int J Heat Mass Trans. 2012;55:3763–3773.
   Google Scholar
• Pennes HH. Analysis of tissue and arterial blood temperatures in the resting human forearm. J Appl Physiol. 1948;1:93–122.
   Google Scholar
• Pillai K, Akhter J, Chua TC, et al. Heat sink effect on tumor ablation characteristics as observed in monopolar radiofrequency, bipolar radiofrequency, and microwave, using ex vivo calf liver model. Medicine. 2015;94:e580.
   Google Scholar
• Sheu TW, Chou C, Tsai S, et al. Three-dimensional analysis for radio-frequency ablation of liver tumor with blood perfusion effect. Comp Meth Biomech Biomed Eng. 2005;8:229–240.
   Google Scholar
• Berjano EJ. Theoretical modeling for radiofrequency ablation: state-of-the-art and challenges for the future. Biomed Eng. 2006;5:24.
   Google Scholar
• Tungjitkusolmun S, Staelin ST, Haemmerich D, et al. Three-dimensional finite-element analyses for radio-frequency hepatic tumor ablation. IEEE Transact Biomed Eng. 2002;49:3–9.
   Google Scholar
• Lee JM, Han JK, Kim HC, et al. Switching monopolar radiofrequency ablation technique using multiple, internally cooled electrodes and a multichannel generator: ex vivo and in vivo pilot study. Investig Radiol. 2007;42:163–171.
   Google Scholar
• Barauskas R, Gulbinas A, Vanagas T, et al. Finite element modeling of cooled-tip probe radiofrequency ablation processes in liver tissue. Comp Biol Med. 2008;38:694–708.
   Google Scholar
• Dos Santos I, Haemmerich D, Schutt D, et al. Probabilistic finite element analysis of radiofrequency liver ablation using the unscented transform. Phys Med Biol. 2009;54:627–640.
   Google Scholar