Monitoring radiofrequency ablation using real-time ultrasound nakagami imaging combined with frequency and temporal compounding techniques

PLoS ONE

Volumn 10, Issue 2, 2015, Pages

  Zhou, Zhuhuang ^a   Wu, Shuicai ^a   Wang, Chiao Yin ^b   Ma, Hsiang Yang ^b   Lin, Chung Chih ^c   Tsui, Po Hsiang ^b,d  

^a BEIJING UNIVERSITY OF TECHNOLOGY   (China)

^b CHANG GUNG UNIVERSITY COLLEGE OF MEDICINE   (Taiwan)

^c CHANG GUNG UNIVERSITY   (Taiwan)

^d CHANG GUNG MEMORIAL HOSPITAL   (Taiwan)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHM; ANIMAL TISSUE; ARTICLE; B SCAN; COMPUTER PROGRAM; CONTROLLED STUDY; ELASTOGRAPHY; FREQUENCY ANALYSIS; GAS BUBBLE; IN VITRO STUDY; LIVER; MATHEMATICAL ANALYSIS; MICROBUBBLE; MONITORING; MUSCLE TISSUE; NONHUMAN; PERFORMANCE; RADIOFREQUENCY ABLATION; REAL TIME ECHOGRAPHY; REAL TIME ULTRASOUND NAKAGAMI IMAGING; TISSUE DIFFERENTIATION; ULTRASOUND SCANNER; ULTRASOUND THERAPY; VALIDATION PROCESS; ANIMAL; CATHETER ABLATION; ECHOGRAPHY; MUSCLE; PATHOLOGY; PIG; PROCEDURES; STATISTICAL MODEL; SURGERY;

SUS;

ANIMALS; CATHETER ABLATION; LIVER; MODELS, STATISTICAL; MUSCLES; SWINE; ULTRASONOGRAPHY;

EID: 84922683636     PISSN: None     EISSN: 19326203     Source Type: Journal    
DOI: 10.1371/journal.pone.0118030     Document Type: Article

References (37)

1. Bruix J, Sherman M, American Association for the Study of Liver D (2011) Management of hepatocellular carcinoma: an update. Hepatology 53: 1020-1022. doi: 10.1002/hep.24199 PMID: 21374666
2. Curley SA, Izzo F, Delrio P, Ellis LM, Granchi J, et al. (1999) Radiofrequency ablation of unresectable primary and metastatic hepatic malignancies: results in 123 patients. Ann Surg 230: 1-8. PMID: 10400029
3. Machi J, Uchida S, Sumida K, Limm WM, Hundahl SA, et al. (2001) Ultrasound-guided radiofrequency thermal ablation of liver tumors: percutaneous, laparoscopic, and open surgical approaches. J Gastrointest Surg 5: 477-489. PMID: 11985998
4. Chiou SY, Liu JB, Needleman L (2007) Current status of sonographically guided radiofrequency ablation techniques. J Ultrasound Med 26: 487-499. PMID: 17384046
5. Gazelle GS, Goldberg SN, Solbiati L, Livraghi T (2000) Tumor ablation with radio-frequency energy. Radiology 217: 633-646. PMID: 11110923
6. Zhou Z, Wu W, Wu S, Xia J, Wang C-Y, et al. (2014) A survey of ultrasound elastography approaches to percutaneous ablation monitoring. Proc IMechE, Part H: J Engineering in Medicine. In press, doi: 10. 1177/0954411914554438
7. DeWall RJ, Varghese T, Brace CL (2012) Quantifying local stiffness variations in radiofrequency ablations with dynamic indentation. IEEE Trans Biomed Eng 59: 728-735. doi: 10.1109/TBME.2011.2178848 PMID: 22167553
8. Varghese T, Techavipoo U, Liu W, Zagzebski JA, Chen Q, et al. (2003) Elastographic measurement of the area and volume of thermal lesions resulting from radiofrequency ablation: pathologic correlation. Am J Roentgenol 181: 701-707. PMID: 12933463
9. Varghese T, Shi H (2004) Elastographic imaging of thermal lesions in liver in-vivo using diaphragmatic stimuli. Ultrason Imaging 26: 18-28. PMID: 15134391
10. Pareek G, Wilkinson ER, Bharat S, Varghese T, Laeseke PF, et al. (2006) Elastographic measurements of in-vivo radiofrequency ablation lesions of the kidney. J Endourol 20: 959-964. PMID: 17144871
11. Rivaz H, Fleming I, Assumpcao L, Fichtinger G, Hamper U, et al. (2008) Ablation monitoring with elastography:2D in-vivo and 3D ex-vivo studies. Med Image Comput Comput Assist Interv 11: 458-466.PMID: 18982637
12. Van Vledder MG, Boctor EM, Assumpcao LR, Rivaz H, Foroughi P, et al. (2010) Intra-operative ultrasound elasticity imaging for monitoring of hepatic tumour thermal ablation. HPB (Oxford) 12: 717-723. doi: 10.1111/j.1477-2574.2010.00247.x PMID: 21083798
13. Zhang M, Castaneda B, Christensen J, Saad WE, Bylund K, et al. (2008) Real-time sonoelastography of hepatic thermal lesions in a swine model. Med Phys 35: 4132-4141. PMID: 18841866
14. Fahey BJ, Nightingale KR, Stutz DL, Trahey GE (2004) Acoustic radiation force impulse imaging of thermally- and chemically-induced lesions in soft tissues: preliminary ex vivo results. Ultrasound Med Biol 30: 321-328. PMID: 15063514
15. Fahey BJ, Nelson RC, Hsu SJ, Bradway DP, Dumont DM, et al. (2008) In vivo guidance and assessment of liver radio-frequency ablation with acoustic radiation force elastography. Ultrasound Med Biol 34: 1590-1603. doi: 10.1016/j.ultrasmedbio.2008.03.006 PMID: 18471954
16. Kwon HJ, Kang MJ, Cho JH, Oh JY, Nam KJ, et al. (2011) Acoustic radiation force impulse elastography for hepatocellular carcinoma-associated radiofrequency ablation. World J Gastroenterol 17: 1874-1878. doi: 10.3748/wjg.v17.i14.1874 PMID: 21528062
17. Mariani A, Kwiecinski W, Pernot M, Balvay D, Tanter M, et al. (2014) Real time shear waves elastography monitoring of thermal ablation: in vivo evaluation in pig livers. J Surg Res 188: 37-43. doi: 10. 1016/j.jss.2013.12.024 PMID: 24485877
18. Varghese T, Zagzebski JA, Lee FT (2002) Elastographic imaging of thermal lesions in the liver in vivo following radiofrequency ablation: preliminary results. Ultrasound Med Biol 28: 1467-1473. PMID: 12498942
19. Foroughi P, Burgner J, Choti MA, Webster RJ III, Hager GD, et al. (2012) Towards intra-operative monitoring of ablation using tracked 3D ultrasound elastography and internal palpation. Proc SPIE 8320:83200T-83201.
20. Jiang J, Varghese T, Brace CL, Madsen EL, Hall TJ, et al. (2009) Young's modulus reconstruction for radio-frequency ablation electrode-induced displacement fields: a feasibility study. IEEE Trans Med Imaging 28: 1325-1334. doi: 10.1109/TMI.2009.2015355 PMID: 19258195
21. Kolokythas O, Gauthier T, Fernandez AT, Xie H, Timm BA, et al. (2008) Ultrasound-based elastography: a novel approach to assess radio frequency ablation of liver masses performed with expandable ablation probes: a feasibility study. J Ultrasound Med 27: 935-946. PMID: 18499853
22. DeWall RJ, Varghese T (2012) Improving thermal ablation delineation with electrode vibration elastography using a bidirectional wave propagation assumption. IEEE Trans Ultrason Ferroelectr Freq Control 59: 168-173. doi: 10.1109/TUFFC.2012.2169 PMID: 22293748
23. Ingle A, Varghese T (2014) Three-dimensional sheaf of ultrasound planes reconstruction (SOUPR) of ablated volumes. IEEE Trans Med Imaging 33: 1677-1688. doi: 10.1109/TMI.2014.2321285 PMID: 24808405
24. Zhou Z, Sheng L, Wu S, Yang C, Zeng Y (2013) Ultrasonic evaluation of microwave-induced thermal lesions based on wavelet analysis of mean scatterer spacing. Ultrasonics 53: 1325-1331. doi: 10.1016/j. ultras.2013.03.018 PMID: 23648210
25. Malkin RA (2007) Design of health care technologies for the developing world. Annu Rev Biomed Eng 9: 567-587. PMID: 17430083
26. Wang CY, Geng X, Yeh TS, Liu HL, Tsui PH (2013) Monitoring radiofrequency ablation with ultrasound Nakagami imaging. Med Phys 40: 072901. doi: 10.1118/1.4808115 PMID: 23822452
27. Zhang S, Zhou F, Wan M, Wei M, Fu Q, et al. (2012) Feasibility of using Nakagami distribution in evaluating the formation of ultrasound-induced thermal lesions. J Acoust Soc Am 131: 4836-4844. doi: 10. 1121/1.4711005 PMID: 22712954
28. Rangraz P, Behnam H, Tavakkoli J (2014) Nakagami imaging for detecting thermal lesions induced by high-intensity focused ultrasound in tissue. Proc IMechE, Part H: J Engineering in Medicine 228: 19-26.
29. Zhang S, Li C, Zhou F, Wan M, Wang S (2014) Enhanced lesion-to-bubble ratio on ultrasonic Nakagami imaging for monitoring of high-intensity focused ultrasound. J Ultrasound Med 33: 959-970. doi: 10.7863/ultra.33.6.959 PMID: 24866603
30. Shankar PM (2000) A general statistical model for ultrasonic backscattering from tissues. IEEE Trans Ultrason Ferroelectr Freq Control 47: 727-736. doi: 10.1109/58.842062 PMID: 18238602
31. Tsui PH, Chang CC (2007) Imaging local scatterer concentrations by the Nakagami statistical model. Ultrasound Med Biol 33: 608-619. PMID: 17343979
32. Dumane VA, Shankar PM (2001) Use of frequency diversity and Nakagami statistics in ultrasonic tissue characterization. IEEE Trans Ultrason Ferroelectr Freq Control 48: 1139-1146. PMID: 11477773
33. Zhou Z, Wu W, Wu S, Tsui PH, Lin CC, et al. (2014) Semi-automatic breast ultrasound image segmentation based on mean shift and graph cuts. Ultrason Imaging 36: 256-276. doi: 10.1177/0161734614524735 PMID: 24759696
34. Dumane VA, Shankar PM, Piccoli CW, Reid JM, Genis V, et al. (2002) Classification of ultrasonic B mode images of the breast using frequency diversity and Nakagami statistics. IEEE Trans. Ultrason. Ferroelec. Freq. Contr. 49: 664-668. PMID: 12046943
35. Varghese T, Techavipoo U, Zagzebski JA, Lee FT Jr. (2004) Impact of gas bubbles generated during interstitial ablation on elastographic depiction of in vitro thermal lesions. J Ultrasound Med 23: 535-544. PMID: 15098873
36. Tanter M, Fink M (2014) Ultrafast imaging in biomedical ultrasound. IEEE Trans Ultrason Ferroelectr Freq Control 61: 102-119. doi: 10.1109/TUFFC.2014.6689779 PMID: 24402899
37. Tsui PH, Wang SH (2004) The effect of transducer characteristics on the estimation of Nakagami parameter as a function of scatterer concentration. Ultrasound Med. Biol. 30: 1345-1353. PMID: 15582234