Prostate segmentation in HIFU therapy

IEEE Transactions on Medical Imaging

Volumn 30, Issue 3, 2011, Pages 792-803

  Garnier, Carole ^a   Bellanger, Jean Jacques ^a   Wu, Ke ^b,c   Shu, Huazhong ^b,c   Costet, Nathalie ^a   Mathieu, Romain ^d   De Crevoisier, Renaud ^a,e   Coatrieux, Jean Louis ^a,b,c  

^a UNIVERSITÉ DE RENNES 1   (France)

^b SOUTHEAST UNIVERSITY   (China)

^c UNIVERSITÉ DE RENNES 1   (France)

^d Service d'Urologie   (France)

^e CENTRE EUGÈNE MARQUIS   (France)

Author keywords

Discrete dynamic contour (DDC); high intensity focused ultrasound (HIFU) therapy; optimal surface detection (OSD); prostate; segmentation; ultrasound images

Indexed keywords

ULTRASONIC APPLICATIONS; UROLOGY;

DISCRETE DYNAMICS; HIGH INTENSITY FOCUSED ULTRASOUND; PROSTATE; SURFACE DETECTION; ULTRASOUND IMAGES;

IMAGE SEGMENTATION;

ALGORITHM; ARTICLE; AUTOMATED PATTERN RECOGNITION; COMPUTER ASSISTED DIAGNOSIS; COMPUTER ASSISTED SURGERY; ECHOGRAPHY; HIGH INTENSITY FOCUSED ULTRASOUND; HUMAN; IMAGE ENHANCEMENT; MALE; METHODOLOGY; PROSTATE TUMOR; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY;

ALGORITHMS; HIGH-INTENSITY FOCUSED ULTRASOUND ABLATION; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; MALE; PATTERN RECOGNITION, AUTOMATED; PROSTATIC NEOPLASMS; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; SURGERY, COMPUTER-ASSISTED; ULTRASONOGRAPHY;

EID: 79952122022     PISSN: 02780062     EISSN: None     Source Type: Journal    
DOI: 10.1109/TMI.2010.2095465     Document Type: Article

References (48)

1. Cancer facts and figures Am. Cancer Soc., 2010 [Online]. Available: http://www.cancer.org
2. European Cancer Observatory [Online]. Available: http://eu-cancer. iarc.fr
3. C. A. Damianou, K. Hynynen, and X. Fan, "Evaluation of accuracy of a theoretical model for predicting the necrosed tissue volume during focused ultrasound surgery," IEEE Trans. Ultrason. Ferroelectr. Freq. Control., vol. 42, no. 2, pp. 182-187, Mar. 1995.
4. L. Curiel, F. Chavrier, B. Gignoux, S. Pichardo, S. Chesnais, and J. Y. Chapelon, "Experimental evaluation of lesion prediction modelling in the presence of cavitation bubbles: Intended for high-intensity focused ultrasound prostate treatment," Med. Biol. Eng. Comput., vol. 42, no. 1, pp. 44-54, Jan. 2004. (Pubitemid 38196278)
5. R. G. Aarnink, R. J. Giesen, A. L. Huynen, J. J. de la Rosette, F. M. Debruyne, and H. Wijkstra, "A practical clinical method for contour determination in ultrasonographic prostate images," Ultrasound Med. Biol., vol. 20, no. 8, pp. 705-717, 1994. (Pubitemid 24370179)
6. R. G. Aarnink, S. D. Pathak, J. J. de la Rosette, F. M. Debruyne, Y. Kim, and H. Wijkstra, "Edge detection in prostatic ultrasound images using integrated edge maps," Ultrasonics, vol. 36, no. 1-5, pp. 635-642, Feb. 1998. (Pubitemid 128390713)
7. Y. J. Liu, W. S. Ng, M. Y. Teo, and H. C. Lim, "Computerised prostate boundary estimation of ultrasound images using radial bas-relief method," Med. Biol. Eng. Comput., vol. 35, no. 5, pp. 445-454, Sep. 1997. (Pubitemid 27453940)
8. C. K. Kwoh, M. Y. Teo, W. S. Ng, S. N. Tan, and L. M. Jones, "Outlining the prostate boundary using the harmonics method," Med. Biol. Eng. Comput., vol. 36, no. 6, pp. 768-771, Nov. 1998.
9. S. D. Pathak, V. Chalana, D. R. Haynor, and Y. Kim, "Edge-guided boundary delineation in prostate ultrasound images," IEEE Trans. Med. Imag., vol. 19, no. 12, pp. 1211-1219, Dec. 2000.
10. W. D. Richard and C. G. Keen, "Automated texture-based segmentation of ultrasound images of the prostate," Comput. Med. Imag. Graph., vol. 20, no. 3, pp. 131-140, May 1996. (Pubitemid 26383053)
11. P. Abolmaesumi and M. R. Sirouspour, "An interacting multiple model probabilistic data association filter for cavity boundary extraction from ultrasound images," IEEE Trans. Med. Imag., vol. 23, no. 6, pp. 772-784, Jun. 2004.
12. S. S. Mahdavi, W. J. Morris, I. Spadinger,N. Chng, O. Goksel, and S. E. Salcudean, "3-D prostate segmentation in ultrasound images based on tapered and deformed ellipsoids," in Proc. MICCAI, 2009, vol. 5762, pp. 960-967.
13. S. Lobregt and M. A. Viergever, "A discrete dynamic contour model," IEEE Trans. Med. Imag., vol. 14, no. 1, pp. 12-24, Mar. 1995.
14. H. M. Ladak, F. Mao, Y.Wang, D. B. Downey, D. A. Steinman, and A. Fenster, "Prostate boundary segmentation from 2D ultrasound images," Med. Phys., vol. 27, no. 8, pp. 1777-1788, Aug. 2000. (Pubitemid 30666353)
15. B. Chiu, G. H. Freeman, M. M. A. Salama, and A. Fenster, "Prostate segmentation algorithm using dyadic wavelet transform and discrete dynamic contour," Phys. Med. Biol., vol. 49, no. 21, pp. 4943-4960, Nov. 2004. (Pubitemid 39489934)
16. N. D. Nanayakkara, J. Samarabandu, and A. Fenster, "Prostate segmentation by feature enhancement using domain knowledge and adaptive region based operations," Phys. Med. Biol., vol. 51, no. 7, pp. 1831-1848, Apr. 2006.
17. Y. Wang, H. N. Cardinal, D. B. Downey, and A. Fenster, "Semiautomatic three-dimensional segmentation of the prostate using two-dimensional ultrasound images," Med. Phys., vol. 30, no. 5, pp. 887-897, May 2003. (Pubitemid 36578692)
18. M. Ding, B. Chiu, I. Gyacskov, X. Yuan, M. Drangova, D. B. Downey, and A. Fenster, "Fast prostate segmentation in 3-D TRUS images based on continuity constraint using an autoregressive model," Med. Phys., vol. 34, no. 11, pp. 4109-4125, Nov. 2007. (Pubitemid 350029635)
19. K. Diaz and B. Castaneda, "Semi-automated segmentation of the prostate gland boundary in ultrasound images using a machine learning approach," in Proc. SPIE Med. Imag., San Diego, CA, 2008, vol. 6914, pp. 69144A-69144A-8.
20. L. Wei, R. Narayanan, D. Kumar, A. Fenster, A. Barqawi, P. Werahera, E. D. Crawford, and J. S. Suri, "Bidirectional segmentation of prostate capsule from ultrasound volumes: An improved strategy," in Proc. SPIE, Med. Imag., San Diego, CA, 2008, vol. 6914, pp. 69143W-69143W-7.
21. A. Ghanei, H. Soltanian-Zadeh, A. Ratkewicz, and F.-F. Yin, "A threedimensional deformable model for segmentation of human prostate from ultrasound images," Med. Phys., vol. 28, no. 10, pp. 2147-2153, Oct. 2001. (Pubitemid 32977561)
22. N. Hu, D. B. Downey, A. Fenster, and H. M. Ladak, "Prostate boundary segmentation from 3-D ultrasound images," Med. Phys., vol. 30, no. 7, pp. 1648-1659, Jul. 2003. (Pubitemid 36885782)
23. Y. Yu, J. A. Molloy, and S. T. Acton, "Segmentation of the prostate from suprapubic ultrasound images," Med. Phys., vol. 31, no. 12, pp. 3474-3484, Dec. 2004. (Pubitemid 40064999)
24. B. Li and S. T. Acton, "Automatic active model initialization via poisson inverse gradient," IEEE Trans. Imag. Process., vol. 17, no. 8, pp. 1406-1420, Aug. 2008.
25. Y. Zhang, R. Sankar, and W. Qian, "Boundary delineation in transrectal ultrasound image for prostate cancer," Comput. Biol. Med., vol. 37, no. 11, pp. 1591-1599, Nov. 2007. (Pubitemid 47362102)
26. A. Zaim and J. Jankun, "An energy-based segmentation of prostate from ultrasound images using dot-pattern select cells," in Proc. IEEE ICASSP, Honolulu, HI, 2007, vol. 1, pp. 297-300.
27. F. Shao, K. V. Ling, and W. S. Ng, "3-D prostate surface detection from ultrasound images based on level set method," in Proc. MICCAI, 2002, vol. 2489, pp. 389-396.
28. A. Barqawi, L. Lu, E. D. Crawford, and S. S. Jasjit, "Semi-automated versus automated prostate boundary estimation from 3-D transrectal ultrasound images," Int. J. CARS, vol. 2, pp. 134-137, 2007.
29. A. C. Hodge, A. Fenster, D. B. Downey, and H. M. Ladak, "Prostate boundary segmentation from ultrasound images using 2D active shape models: Optimisation and extension to 3-D," Comput. Methods Programs Biomed., vol. 84, no. 2, pp. 99-113, Dec. 2006. (Pubitemid 46053596)
30. N. Betrouni, M. Vermandel, D. Pasquier, S. Maouche, and J. Rousseau, "Segmentation of abdominal ultrasound images of the prostate using a priori information and an adapted noise filter," Comput. Med. Imag. Graph., vol. 29, no. 1, pp. 43-51, Jan. 2005. (Pubitemid 40248633)
31. F. A. Cosío and B. L. Davies, "Automated prostate recognition: A key process for clinically effective robotic prostatectomy," Med. Biol. Eng. Comput., vol. 37, no. 2, pp. 236-243, Mar. 1999. (Pubitemid 29131295)
32. F. A. Cosío, "Automatic initialization of an active shape model of the prostate," Med. Image Anal., vol. 12, no. 4, pp. 469-483, Aug. 2008.
33. R. Y. Wu, K. V. Ling, and W. S. Ng, "Automatic prostate boundary recognition in sonographic images using feature model and genetic algorithm," J. Ultrasound Med., vol. 19, no. 11, pp. 771-782, Nov. 2000.
34. L. Gong, S. D. Pathak, D. R. Haynor, P. S. Cho, and Y. Kim, "Parametric shape modeling using deformable superellipses for prostate segmentation," IEEE Trans. Med. Imag., vol. 23, pp. 340-349, Mar. 2004.
35. L. Gong, L. Ng, S. D. Pathak, I. Tutar, P. S. Cho, D. R. Haynor, and Y. Kim, "Prostate ultrasound image segmentation using level set-based region flow with shape guidance," in Proc. SPIE, Med. Imag., San Diego, CA, 2005, vol. 5747, pp. 1648-1657. (Pubitemid 41146500)
36. I. B. Tutar, S. D. Pathak, L. Gong, P. S. Cho, K. Wallner, and Y. Kim, "Semiautomatic 3-D prostate segmentation from TRUS images using spherical harmonics," IEEE Trans. Med. Imag., vol. 25, no. 12, pp. 1645-1654, Dec. 2006. (Pubitemid 44936713)
37. C. Knoll, M. Alcaniz, V. Grau, C. Monserrat, and M. C. Juan, "Outlining of the prostate using snakes with shape restrictions based on the wavelet transform," Pattern Recognit., vol. 32, no. 10, pp. 1767-1781, Oct. 1999.
38. D. Shen, Y. Zhan, and C. Davatzikos, "Segmentation of prostate boundaries from ultrasound images using statistical shape model," IEEE Trans. Med. Imag., vol. 22, no. 4, pp. 539-551, Apr. 2003.
39. Y. Zhan and D. Shen, "Deformable segmentation of 3-D ultrasound prostate images using statistical texture matching method," IEEE Trans. Med. Imag., vol. 25, no. 3, pp. 256-272, Mar. 2006. (Pubitemid 43320643)
40. T. Heimann, M. Baumhauer, T. Simpfendörfer, H.-P. Meinzer, and I. Wolf, "Prostate segmentation from 3-D transrectal ultrasound using statistical shape models and various appearance models," in Proc. SPIE, Med. Imag., San Diego, CA, 2008, vol. 6914, pp. 69141P-69141P-8.
41. K. Li, X.Wu, D. Z. Chen, and M. Sonka, "Efficient optimal surface detection: Theory, implementation and experimental validation," in Proc. SPIE Med. Imag., San Diego, CA, 2004, vol. 5370, pp. 620-627.
42. Q. Song, X. Wu, Y. Liu, M. Smith, J. Buatti, and M. Sonka, "Optimal graph search segmentation using arc-weighted graph for simultaneous surface detection of bladder and prostate," in Proc. MICCAI, 2009, vol. 5762, pp. 27-835.
43. Y. Boykov and V. Kolmogorov, "An experimental comparison of min-cut/max-flow algorithms for energy minimization in vision," IEEE Trans. Pattern Anal. Machine Intell., vol. 26, no. 9, pp. 1124-1137, Sep. 2004.
44. E. Demidenko, Mixed Models-Theory and Applications. New York: Wiley, 2004.
45. R. Littell, G. Milliken, W. Stroup, R.Wolfinger, and O. Schabenberger, SAS for Mixed Models. Cary, NC: SAS Inst., 2006.
46. G. Verbeke and G. Molenbreghs, Linear Mixed Models for Longitudinal Data. New York: Springer, 2009.
47. M. Sonka, V. Hlavac, and R. Boyle, "Segmentation II," in Image Processing, Analysis and Machine Vision, 3rd ed. New York: Thomson Eng., 2007, ch. 7, sec. 7.7, pp. 306-319.
48. K. Wu, C. Garnier, J.-L. Coatrieux, and H. Shu, "A preliminary study of moment-based texture analysis for medical images," in Proc. IEEE EMBC, Buenos Aires, Argentina, 2010, pp. 5581-5584.