References
- Siegel RL, Miller KD, Jemal A. (2016). Cancer statistics, 2016. CA Cancer J Clin 66:7–30.
- Van Tilborg AAJM, Meijerink MR, Sietses C, et al. (2011). Long-term results of radiofrequency ablation for unresectable colorectal liver metastases: a potentially curative intervention. Br J Radiol 84:556–65.
- Dodd GD, Soulen MC, Kane RA, et al. (2000). Minimally invasive treatment of malignant hepatic tumors: at the threshold of a major breakthrough. Radiographics 20:9–27.
- Singletary S. (2001). Minimally invasive techniques in breast cancer treatment. Semin Surg Oncol 20:246–50.
- Gill IS, Remer EM, Hasan WA, et al. (2005). Renal cryoablation: outcome at 3 years. J Urol 173:1903–7.
- Hines-Peralta A, Hollander CY, Solazzo S, et al. (2004). Hybrid radiofrequency and cryoablation device: preliminary results in an animal model. J Vasc Interv Radiol 15:1111–20.
- Goldberg SN, Gazelle GS, Mueller PR. (2000). Thermal ablation therapy for focal malignancy: a unified approach to underlying principles, techniques, and diagnostic imaging guidance. AJR Am J Roentgenol 174:323–31.
- Hynynen K, McDannold N. (2004). MRI guided and monitored focused ultrasound thermal ablation methods: a review of progress. Int J Hyperthermia 20:725–37.
- Germain D, Chevallier P, Laurent A, Saint-Jalmes U. (2001). MR monitoring of tumour thermal therapy. Magn Reson Mater Phys Biol Med 13:47–59.
- Clasen S, Pereira PL. (2008). Magnetic resonance guidance for radiofrequency ablation of liver tumors. J Magn Reson Imaging 27:421–33.
- Gaitini D, Zivari M, Abadi S, et al. (2008). Evaluating Tissue changes with ultrasound during radiofrequency ablation. Ultrasound MedBiol 34:586–97.
- Correa-Gallego C, Karkar AM, Monette S, et al. (2014). Intraoperative ultrasound and tissue elastography measurements do not predict the size of hepatic microwave ablations. Acad Radiol 21:72–8.
- Abdullah BJJ, Yeong CH, Goh KL, et al. (2014). Robotic-assisted thermal ablation of liver tumours. Eur Radiol 25:246–57.
- Herrell SD, Kwartowitz DM, Milhoua PM, Galloway RL. (2009). Toward image guided robotic surgery: system validation. J Urol 181:783–90.
- Fani F, Schena E, Saccomandi P, Silvestri S. (2014). CT-based thermometry: an overview. Int J Hyperthermia 30:219–27.
- Li M, Abi-Jaoudeh N, Kapoor A, et al. Towards cone-beam CT thermometry. In: Holmes DR III, Yaniv ZR, editors. SPIE, Medical Imaging 2013: Image-Guided Procedures, Robotic Interventions, and Modeling. Bellingham, WA: SPIE; 2013. p. 86711I.
- Pandeya GD, Klaessens JHGM, Greuter MJW, et al. (2011). Feasibility of computed tomography based thermometry during interstitial laser heating in bovine liver. Eur Radiol 21:1733–8.
- Schena E, Saccomandi P, Giurazza F, et al. (2013). Experimental assessment of CT-based thermometry during laser ablation of porcine pancreas. Phys Med Biol 58:5705–16.
- Weiss N, Goldberg SN, Nissenbaum Y, et al. (2016). Noninvasive microwave ablation zone radii estimation using X-ray CT image analysis. Med Phys 43:4476–82.
- Weiss N, Goldberg SN, Nissenbaum Y, et al. (2015). Planar strain analysis of liver undergoing microwave thermal ablation using X-ray CT. Med Phys 42:372.
- Liu D, Brace CL. (2014). CT imaging during microwave ablation: analysis of spatial and temporal tissue contraction. Med Phys 41:113303.
- Teratani T, Yoshida H, Shiina S, et al. (2006). Radiofrequency ablation for hepatocellular carcinoma in so-called high-risk locations. Hepatology 43:1101–8.
- Chen MH, Yang W, Yan K, et al. (2008). Radiofrequency ablation of problematically located hepatocellular carcinoma: tailored approach. Abdom Imaging 33:428–36.
- Ronse C, Devijver PA. (1984). Connected components in binary images: the detection problem. Letchworth, Hertfordshire, England: Research Studies Press; New York: Wiley.
- Lucas BD, Kanade T. (1981). An iterative image registration technique with an application to stereo vision. Imaging 130:674–9.
- Hines-Peralta AU, Pirani N, Clegg P, et al. (2006). Microwave ablation: results with a 2.45-GHz applicator in ex vivo bovine and in vivo porcine liver. Radiology 239:94–102.
- Weidensteiner C, Quesson B, Caire-Gana B, et al. (2003). Real-time MR temperature mapping of rabbit liver in vivo during thermal ablation. Magn Reson Med 50:322–30.
- Samset E. (2006). Temperature mapping of thermal ablation using MRI. Minim Invasive Ther Allied Technol 15:36–41.
- Chen BT, Shieh J, Huang CW, et al. (2014). Ultrasound thermal mapping based on a hybrid method combining physical and statistical models. Ultrasound Med Biol 40:115–29.
- Fosnight TR, Hooi FM, Keil RD, et al. (2016). Echo decorrelation imaging of rabbit liver and VX2 tumor during in vivo ultrasound ablation. Ultrasound Med Biol 43:1–11.
- Brace C. (2011). Thermal tumor ablation in clinical use. IEEE Pulse 2:28–38.
- Munireddy S, Katz S, Somasundar P, Espat NJ. (2012). Thermal tumor ablation therapy for colorectal cancer hepatic metastasis. J Gastrointest Oncol 3:69–77.
- Lopresto V, Pinto R, Lovisolo GA, Cavagnaro M. (2012). Changes in the dielectric properties of ex vivo bovine liver during microwave thermal ablation at 2.45 GHz. Phys Med Biol 57:2309–27.
- Cavagnaro M, Pinto R, Lopresto V, et al. (2015). Numerical models to evaluate the temperature increase induced by ex vivo microwave thermal ablation. Phys Med Biol 60:3287–311.
- Yu NC, Raman SS, Kim YJ, et al. (2008). Microwave liver ablation: influence of hepatic vein size on heat-sink effect in a porcine model. J Vasc Interv Radiol 19:1087–92.
- Lu DSK, Raman SS, Vodopich DJ, et al. (2002). Effect of vessel size on creation of hepatic radiofrequency lesions in pigs: assessment of the “heat sink” effect. AJR Am J Roentgenol 178:47–51.
- Sarti M, Brehmer WP, Gay SB. (2012). Low-dose techniques in CT-guided interventions. Radiographics 32:1109–19.
- Leipsic J, Nguyen G, Brown J, et al. (2010). A prospective evaluation of dose reduction and image quality in chest CT using adaptive statistical iterative reconstruction. AJR Am J Roentgenol 195:1095–9.
- Silva AC, Lawder HJ, Hara A, et al. (2010). Innovations in CT Dose reduction strategy: application of the adaptive statistical iterative reconstruction algorithm. AJR Am J Roentgenol 194:191–9.
- Yu L, Liu X, Leng S, et al. (2009). Radiation dose reduction in computed tomography: techniques and future perspective. Imaging 1:65–84.
- Mc Collough C, Primak NA, Braun N, et al. (2009). Strategies for reducing radiation dose in CT. Radiol. Clin. North Am 47:27–40.
- Christner JA, Zavaletta VA, Eusemann CD, et al. (2010). Dose reduction in helical CT: dynamically adjustable z-axis X-ray beam collimation. Am J Roentgenol 194:49–55.
- Subhas N, Polster JM, Obuchowski NA, et al. (2016). Imaging of arthroplasties: improved image quality and lesion detection with iterative metal artifact reduction, a new CT metal artifact reduction technique. AJR Am J Roentgenol 207:378–85.
- Zhao S, Robeltson DD, Wang G, et al. (2000). X-ray CT metal artifact reduction using wavelets: an application for imaging total hip prostheses. IEEE Trans Med Imaging 19:1238–47.
- Wang G, Snyder DL, O’Sullivan JA, Vannier MW. (1996). Iterative deblurring for CT metal artifact reduction. IEEE Trans Med Imaging 15:657–64.
- Wu M, Keil A, Constantin D, et al. (2014). Metal artifact correction for X-ray computed tomography using kV and selective MV imaging. Med Phys 41:121910.
- Kennedy JA, Israel O, Frenkel A, et al. (2007). The reduction of artifacts due to metal hip implants in CT-attenuation corrected PET images from hybrid PET/CT scanners. Med Biol Eng Comput 45:553–62.