Semiautomatic 3-D prostate segmentation from TRUS images using spherical harmonics

IEEE Transactions on Medical Imaging

Volumn 25, Issue 12, 2006, Pages 1645-1654

  Tutar, Ismail B ^a,b   Pathak, Sayan D ^a,b,c,d   Gong, Lixin ^d   Cho, Paul S ^e   Wallner, Kent ^e   Kim, Yongmin ^a,b  

^a IEEE   (United States)

^b UNIVERSITY OF WASHINGTON   (United States)

^c ALLEN INSTITUTE FOR BRAIN SCIENCE   (United States)

^d Insightful Corporation   (United States)

^e UNIVERSITY OF WASHINGTON SCHOOL OF MEDICINE   (United States)

Author keywords

Intraoperative dosimetry; Parametric deformable models; Postimplant prostate segmentation; Prostate brachytherapy; Shape modeling; Spherical harmonics; Three dimensional (3 D) prostate segmentation

Indexed keywords

ALGORITHMS; DOSIMETRY; MEDICAL IMAGING; OPTIMIZATION; STATISTICAL METHODS; ULTRASONIC IMAGING;

INTRAOPERATIVE DOSIMETRY; PARAMETRIC DEFORMABLE MODELS; POSTIMPLANT PROSTATE SEGMENTATION; PROSTATE BRACHYTHERAPY; SHAPE MODELING; SPHERICAL HARMONICS; THREE DIMENSIONAL (3-D) PROSTATE SEGMENTATION;

IMAGE SEGMENTATION;

ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; BRACHYTHERAPY; COMPUTER ASSISTED DIAGNOSIS; COMPUTER ASSISTED RADIOTHERAPY; ECHOGRAPHY; HUMAN; IMAGE ENHANCEMENT; MALE; METHODOLOGY; PROSTATE; PROSTATE TUMOR; RECTUM; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; THREE DIMENSIONAL IMAGING;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; BRACHYTHERAPY; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; IMAGING, THREE-DIMENSIONAL; MALE; PATTERN RECOGNITION, AUTOMATED; PROSTATE; PROSTATIC NEOPLASMS; RADIOTHERAPY PLANNING, COMPUTER-ASSISTED; RECTUM; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY;

EID: 33845590522     PISSN: 02780062     EISSN: None     Source Type: Journal    
DOI: 10.1109/TMI.2006.884630     Document Type: Article

References (64)

1. A. Jemal, R. Siegel, E. Ward, T. Murray, J. Xu, C. Smigal, and M. J. Thun, "Cancer statistics, 2006," CA: A Cancer J. Clinicians, vol. 56, pp. 106-130, 2006.
2. K. Wallner, J. Blasko, and M. J. Dattoli, Prostate Brachytherapy Made Complicated, 2nd ed. Seattle, WA: SmartMedicine, 2001.
3. J. C. Blasko, H. Ragde, R. W. Luse, J. E. Sylvester, W. Cavanagh, and P. D. Grimm, "Should brachytherapy be considered a therapeutic option in localized prostate cancer?," Urol. Clin. N. Amer., vol. 23, pp. 633-650, 1996.
4. J.B. Priestly and D. C. Beyer, "Guided brachytherapy for the treatment of confined prostate cancer," Urology, vol. 40, pp. 27-32, 1992.
5. D. A. Todor, G. N. Cohen, H. I. Amols, and M. Zaider, "Operator-free, film-based 3-D seed reconstruction in brachytherapy," Phys. Med. Biol., vol. 47, pp. 2031-2048, 2002.
6. B. H. Han, K. Wallner, G. Merrick, S. Sutlief, and J. Sylvester, "Prostate brachytherapy seed identification on post-implant TRUS images," Med. Phys., vol. 30, pp. 898-900, 2003.
7. S. Nag, D. Beyer, J. Friedland, P. Grimm, and R. Nath, "American Brachytherapy Society recommendations for transperineal permanent brachytherapy of prostate cancer," Int. J. Radiat. Oncol., Biol., Phys., vol. 44, pp. 789-799, 1999.
8. S. Nag, J. P. Ciezki, R. Cormack, S. Doggett, K. DeWyngaert, G. K. Ed-mundson, R. G. Stock, N. N. Stone, Y. Yu, and M. J. Zelefsky, "Intraoperative planning and evaluation of permanent prostate brachytherapy: Report of the American Brachytherapy Society," Int. J. Radiat. Oncol., Biol., Phys., vol. 51, pp. 1422-1430, 2001.
9. P. L. Roberson, V. Narayana, D. L. McShan, R. J. Winfield, and P. W. McLaughlin, "Source placement error for permanent implant of the prostate," Med. Phys., vol. 24, pp. 251-257, 1997.
10. 125I prostate implants," Phys. Med. Biol., vol. 46, pp. 2785-2800, 2001.
11. L. Gong, P. S. Cho, B. H. Han, K. E. Wallner, S. G. Sutlief, S. D. Pathak, D. R. Haynor, and Y. Kim, "Ultrasonography and fluoroscopic fusion for prostate brachytherapy dosimetry," Int. J. Radiat. Oncol., Biol., Phys., vol. 54, pp. 1322-1330, 2002.
12. M. D. Altschuler, P. A. Findlay, and R. D. Epperson, "Rapid, accurate, three-dimensional location of multiple seeds in implant radiotherapy treatment planning," Phys. Med. Biol., vol. 28, pp. 1305-1318, 1983.
13. H. I. Amols and I. I. Rosen, "A three-film technique for reconstruction of radioactive seed implant," Med. Phys., vol. 8, pp. 210-214, 1981.
14. P. J. Biggs and D. M. Kelley, "Geometric reconstruction of seed implants using a three-film technique," Med. Phys., vol. 10, pp. 701-704, 1983.
15. D. D. Jackson, "An automatic method for localizing radioactive seeds in implant dosimetry," Med. Phys., vol. 10, pp. 370-372, 1983.
16. M. S. Rosenthal and R. Nath, "An automatic seed identification technique for interstitial implants using three isocentric radiographs," Med. Phys., vol. 10, pp. 475-479, 1983.
17. K. L. Lam and R. K. Ten Haken, "Improvement of precision in spatial localization of radio-opaque markers using the two-film technique," Med. Phys., vol. 18, pp. 1126-1131, 1991.
18. R. A. Sherlock and W. M. Aitken, "A method of precision position determination using x-ray stereography," Phys. Med. Biol., vol. 25, pp. 349-355, 1980.
19. R. L. Siddon and L. M. Chin, "Two-film brachytherapy reconstruction algorithm," Med. Phys., vol. 12, pp. 77-83, 1985.
20. S. Narayanan, P. S. Cho, and R. J. Marks II, "Fast cross-projection algorithm for reconstruction of seeds in prostate brachytherapy," Med. Phys., vol. 29, pp. 1572-1579, 2002.
21. S. Narayanan, P. S. Cho, and R. J. Marks II, "Three-dimensional seed reconstruction from an incomplete data set for prostate brachytherapy," Phys. Med. Biol., vol. 49, pp. 3483-3494, 2004.
22. S. T. Lam, P. S. Cho, R. J. Marks II, and S. Narayanan, "Three-dimensional seed reconstruction for prostate brachytherapy using Hough trajectories," Phys. Med. Biol., vol. 49, pp. 557-569, 2004.
23. I. B. Tutar, R. Managuli, V. Shamdasani, P. S. Cho, S. D. Pathak, and Y. Kim, "Tomosynthesis-based localization of radioactive seeds in prostate brachytherapy," Med. Phys., vol. 30, pp. 3135-3142, 2003.
24. S. D. Pathak, "Computer-aided segmentation of anatomical features in transrectal ultrasound prostate images," Ph.D. dissertation, Univ. Washington, Seattle, Jun. 2000.
25. R. G. Aarnink, S. D. Pathak, J. J. M. C. H. de la Rosette, F. M. J. Debruyne, Y. Kim, and H. Wijkstra, "Edge detection in prostatic ultrasound images using integrated edge maps," Ultrasonics, vol. 36, pp. 635-642, 1998.
26. R. G. Aarnink, R. J. B. Giesen, A. L. Huynen, J. J. M. C. H. de la Rosette, F. M. J. Debruyne, and H. Wijkstra, "A practical clinical method for contour determination in ultrasonographic prostate images," Ultrasound Med. Biol., vol. 20, pp. 705-717, 1994.
27. 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, pp. 768-771, 1998.
28. Y. J. Liu, W. S. Ng, M. Y. Teo, and H. C. Lim, "Computerized prostate boundary estimation of ultrasound images using radial bas-relief method," Med. Biol. Eng. Comput., vol. 35, pp. 445-454, 1997.
29. J. S. Prater and W. D. Richard, "Segmentation ultrasound images of the prostate using neural networks," Ultrason. Imag., vol. 14, pp. 159-185, 1992.
30. W. D. Richard and C. G. Keen, "Automated texture-based segmentation of ultrasound images of the prostate," Computerized Med. Imag. Graphic., vol. 20, pp. 131-140, 1996.
31. S. D. Pathak, R. G. Aarnink, J. J. de la Rosette, V. Chalana, H. Wijkstra, F. M. J. Debruyne, and Y. Kim, "Quantitative three-dimensional transrectal ultrasound for prostate imaging," Proc. SPIE Med. Imag., vol. 3335, pp. 83-92, 1998.
32. H. Ladak, F. Mao, Y. Wang, D. B. Downey, D. A. Steinman, and A. Fenster, "Prostate boundary segmentation from 2-D ultrasound images,"Med. Phys., vol. 27, pp. 1777-1788, 2000.
33. F. A. Cosio and B. L. Davies, "Automated prostate recognition: A key process for clinically effective robotic prostatectomy," Med. Biol. Eng. Comput., vol. 37, pp. 236-243, 1999.
34. R. Y. Wu, K. V. Ling, and W. S. Ng, "Automatic prostate boundary recognition in sonographic images using feature model and genetic algorithms," J. Ultrasound Med., vol. 19, pp. 771-782, 2000.
35. G. Cheng, "Automatic segmentation of prostate in transrectal ultrasound imaging (abstract)," Radiology, vol. 218, p. 612, 2001.
36. 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, no. 3, pp. 340-349, Mar. 2004.
37. N. D. Nanayakkára, J. Samarabandu, and A. Fenster, "Prostate segmentation by feature enhancement using domain knowledge and adaptive region based operations," Phys. Med. Biol., vol. 51, pp. 1831-1848, 2006.
38. L. Gong, L. Ng, S. D. Pathak, I. B. Tutar, P. S. Cho, D. R. Haynor, and Y. Kim, "Prostate ultrasound image segmentation using level set-based region flow with shape guidance," Proc. SPIE Med. Imag., vol. 5747, pp. 1648-1657, 2005.
39. F. Shao, K. V. Ling, W. S. Ng, and R. Y. Wu, "Prostate boundary detection from ultrasonographic images," J. Ultrasound Med., vol. 22, pp. 605-623, 2003.
40. A. Ghanei, H. Soltanian-Zadeh, A. Ratkewicz, and F. Yin, "A three-dimensional deformable model for segmentation of human prostate from ultrasound images," Med. Phys., vol. 28, pp. 2147-2153, 2001.
41. Y. Wang, N. Cardinal, D. B. Downey, and A. Fenster, "Semiautomatic three-dimensional segmentation of the prostate using two-dimensional ultrasound images," Med. Phys., vol. 30, pp. 887-897, 2003.
42. N. Hu, D. B. Downey, A. Fenster, and H. M. Ladak, "Prostate boundary segmentation from 3-D ultrasound images," Med. Phys., vol. 30, pp. 1648-1659, 2003.
43. 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.
44. T. F. Cootes, C. J. Taylor, D. H. Cooper, and J. Graham, "Active shape models - Their training and application," Comput. Vis. Image Understand., vol. 61, no. 1, pp. 38-59, 1995.
45. C. Davatzikos, D. Shen, A. Mohamed, and S. K. Kyriacou, "A framework for predictive anatomical deformations," IEEE Trans. Med. Imag., vol. 20, no. 8, pp. 836-843, Aug. 2001.
46. A. Kelemen, G. Szekely, and G. Gerig, "Elastic model-based segmentation of 3-D neuroradiological data sets," IEEE Trans. Med. Imag., vol. 18, no. 10, pp. 828-839, Oct. 1999.
47. A. H. Barr, "Superquadrics and angle-preserving transforms," IEEE Comput. Graph. Appl., vol. 1, no. 1, pp. 11-23, 1981.
48. F. Solina and R. Bajcsy, "Recovery of parametric models from range images: The case for superquadrics with global deformations," IEEE Trans. Pattern. Anal. Mach. Intell., vol. 12, no. 2, pp. 131-147, Feb. 1990.
49. J. Blokland, A. Vossepoel, A. Bakker, and E. Pauwels, "Delineating elliptical objects with an application to cardiac scintigrams," IEEE Trans. Med. Imag., vol. 6, pp. 57-66, 1987.
50. J. Nuyts, P. Suetens, A. Oosterlinck, M. DeRoo, and L. Mortelmans, "Delineation of ECT images using global constraints and dynamics programming," IEEE. Trans. Med. Imag., vol. 10, no. 4, pp. 489-498, Dec. 1991.
51. D. Terzopoulos and D. Metaxas, "Deformable superquadrics," IEEE Trans. Pattern. Anal. Mach. Intell., vol. 13, pp. 703-714, 1991.
52. E. Bardinet, L. D. Cohen, and N. Ayache, "Fitting of iso-surfaces using superquadrics and free-form deformations," in Proc. IEEE Workshop Biomed. Image Anal., 1994, pp. 184-193.
53. C. W. Chen, T. S. Huang, and M. Arrott, "Modeling, analysis, and visualization of left ventricle shape and motion by hierarchical decomposition," IEEE Trans. Pattern. Anal. Mach. Intell. vol. 16, no. 4, pp. 342-356, Apr. 1994.
54. E. Persoon and K. S. Fu, "Shape discrimination using Fourier descriptors," IEEE Trans. Pattern. Anal. Mach. Intell., vol. 8, no. 3, pp. 387-197, May 1986.
55. L. H. Staib and J. S. Duncan, "Boundary finding with parametrically deformable models," IEEE Trans. Pattern. Anal. Mach. Intell., vol. 14, no. 11, pp. 1061-1075, Nov. 1992.
56. L. H. Staib and J. S. Duncan, "Model-based deformable surface finding for medical images," IEEE. Trans. Med. Imag., vol. 15, no. 5, pp. 720-731, Oct. 1996.
57. C. Brechbühler, G. Gerig, and O. Kübler, "Parametrization of closed surfaces for 3-D shape description," Comput. Vis. Image Understand., vol. 61, pp. 154-170, 1995.
58. W. Greiner and H. Diehl, Theoretische Pyhsik-Ein Lehr- und Übungsbuch für Anfangssemester, vol. 3 Elektrodynamik.: Zürich/Frankfurt am Main, 1986.
59. 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.
60. V. Chalana and Y. Kim, "A methodology for evaluation of boundary detection algorithms on medical images," IEEE Trans. Med. Imag. vol. 16, no. 5, pp. 642-652, Oct. 1997.
61. L. Gong, S. D. Pathak, and Y. Kim, "Selective contrast enhancement of prostate ultrasound images using sticks with high level information," Proc. SPIE Med. Imag. vol. 4319, pp. 615-622, 2001.
62. R. N. Czerwinski, D. L. Jones, and W. D. O'Brien, Jr., "Line and boundary detection in speckle images," IEEE Trans. Image Process., vol. 7, no. 12, pp. 1700-1714, Dec. 1998.
63. R. N. Czerwinski, D. L. Jones, and W. D. O'Brien, Jr., "Detection of lines and boundaries in speckle images-application to medical ultrasound," IEEE Trans. Med. Imag., vol. 18, no. 2, pp. 126-136, Feb. 1999.
64. J. Canny, "A computational approach to edge detection," IEEE Trans. Pattern. Anal. Mach. Intetl., vol. 8, no. 6, pp. 679-698, Nov. 1986.