3D prostate shape modeling from sparsely-acquired 2D images using deformable models

Proceedings of SPIE - The International Society for Optical Engineering

Volumn 5367, Issue , 2004, Pages 524-532

  Tutar, Ismail B ^a   Pathak, Sayan D ^a   Kim, Yongmin ^a  

^a University of Washington   (United States)

Author keywords

And shape modeling; Deformable; Fourier descriptors; Intraoperative dosimetry; Prostate brachytherapy; Superquadrics

Indexed keywords

DEFORMABLE SUPERQUADRICS; FOURIER DESCRIPTORS; INTRAOPERATIVE DOSIMETRY; PROSTATE BRACHYTHERAPY; SHAPE MODELING;

BOUNDARY CONDITIONS; DATA REDUCTION; ERROR ANALYSIS; IMAGE RECONSTRUCTION; IMAGE SEGMENTATION; INTEROPERABILITY; NUMERICAL METHODS; SURFACES; THREE DIMENSIONAL COMPUTER GRAPHICS; TUMORS; ULTRASONICS;

MEDICAL IMAGING;

EID: 5644226257     PISSN: 0277786X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1117/12.536809     Document Type: Conference Paper

References (25)

1. A. Jemal, A. Thomas, T. Murray, and M. Thun, "Cancer statistics, 2002," CA - Cancer J. Clin. 52, pp. 23-47, 2002.
2. 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. Am. 23, pp. 633-650, 1996.
3. J. B. Priestly and D. C. Beyer, "Guided brachytherapy for the treatment of confined prostate cancer," Urology 40, pp. 27-32, 1992.
4. 125I sources in the prostate: radical limits of simplicity," Radiology 213, pp. 839-844, 1999.
5. D. A. Todor, G. N. Cohen, H. I. Amols, and M. Zaider, "Operator-free, film-based 3D seed reconstruction in brachytherapy," Phys. Med. Biol. 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. 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. 44, pp. 789-799, 1999.
8. S. Nag, J. P. Ciezki, R. Cormack, S. Doggett, K. DeWyngaert, G. K. Edmundson, 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. 51, pp. 1422-1430, 2001.
9. P. N. Werahera, G. J. Miller, G. D. Taylor, T. Brubaker, F. Daneshgari, and E. D. Crawford, "A 3D reconstruction algorithm for interpolation and extrapolation of planar cross sectional data," IEEE Trans. Med. Imaging 14, pp. 765-771, 1995.
10. J. Xuan, I. A. Sesterhenn, W. S. Hayes, Y. Wang, T. Adali, Y. Yagi, M. T. Freedman, and S. K. Mun, "Surface reconstruction and visualization of the surgical prostate model," Proc. SPIE 3031, pp. 50-61, 1997.
11. A. Ghanei, H. Soltanian-Zadeh, A. Ratkewicz, and F. F. Yin, "A three-dimensional deformable model for segmentation of human prostate from ultrasound images," Med. Phys. 28, pp. 2153-2147, 2001.
12. N. Hu, D. B. Downey, A. Fenster, and H. M. Ladak, "Prostate boundary segmentation from 3D ultrasound images," Med. Phys. 30, pp. 1648-1659, 2003.
13. R. G. Aarnick, 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. 20, pp. 705-717, 1994.
14. C. K. Kwoh, M. Y. Teo, W. S. Ng, S. N. Tan, and L. M. Jones, "Outlining the prostate boundary using harmonics method," Med. Biol. Eng. Comput. 36, pp. 768-771, 1998.
15. J. S. Prater and W. D. Richard, "Segmenting ultrasound images of the prostate using neural networks," Ultrasonic Imaging 14,pp. 159-185, 1992.
16. W. D. Richard and C. G. Keen, "Automated texture based segmentation of ultrasound images of the prostate," Comput. Med. Imag. Grap. 20, pp. 131-140, 1996.
17. D. Terzopoulos and D. Metaxas, "Dynamic 3D models with local and global deformations: deformable superquadrics," IEEE Trans. Pattern Anal. Machine Intel. 13, pp. 703-714, 1991.
18. B. Vemuri, Y. Guo, C. Leonard, and S. H. Lay, "Fast numerical algorithms for fitting multiresolution hybrid shape models to brain MRI," Med. Image Anal. 1, pp. 343-362, 1996.
19. A. Robert, "Modelization of the left ventricle and its deformations using superquadrics and hyperquadrics," in Computer Assisted Radiology, pp. 189-194, Berlin, 1995.
20. E. Bardinet, L. Cohen, and N. Ayache, "Tracking and motion analysis of the left ventricle with deformable superquadrics," Med. Image Anal. 1, pp. 129-149, 1996.
21. 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. Imaging (in press), 2004.
22. L. H. Staib and J. S. Duncan, "Model-based deformable surface finding for medical images," IEEE Trans. Med. Imaging 15, pp. 720-731, 1996.
23. A. H. Barr, "Superquadrics and angle-preserving transforms," IEEE Comput. Graph. 1, pp. 11-23, 1981.
24. F. Solina and R. Bajcsy, "Recovery of parametric models from range images: the Case for superquadrics with global deformations," IEEE Trans. Pattern Anal. Machine Intel. 12, pp. 131-147, 1990.
25. S. D. Pathak, V. Chalana, D. R. Haynor, and Y. Kim, "Edge-guided boundary delineation in prostate ultrasound images," IEEE Trans. Med. Imaging 19, pp. 1211-1219, 2000.