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Volumn 7261, Issue , 2009, Pages

Optimal search guided by partial active shape model for prostate segmentation in TRUS images

Author keywords

Deformable model; Dynamic programming; Image guided intervention; Image segmentation; Partial active shape model; Prostate; Transrectal ultrasound

Indexed keywords

DEFORMABLE MODEL; IMAGE GUIDED INTERVENTION; PARTIAL ACTIVE SHAPE MODEL; PROSTATE; TRANSRECTAL ULTRASOUND;

EID: 67149095296     PISSN: 16057422     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1117/12.811713     Document Type: Conference Paper
Times cited : (13)

References (24)
  • 2
    • 84974705034 scopus 로고    scopus 로고
    • Transrectal prostate biopsy inside closed MRI scanner with remote actuation, under real-time image guidance
    • Fichtinger, G., Krieger, A., Susil, R. C., Tanács, A., Whitcomb, L. L., and Atalar, E., "Transrectal prostate biopsy inside closed MRI scanner with remote actuation, under real-time image guidance," in MICCAI (1), 91-98 (2002).
    • (2002) in MICCAI , vol.1 , pp. 91-98
    • Fichtinger, G.1    Krieger, A.2    Susil, R.C.3    Tanács, A.4    Whitcomb, L.L.5    Atalar, E.6
  • 3
    • 0036074112 scopus 로고    scopus 로고
    • Real time MRI-ultrasound image guided stereotactic prostate biopsy
    • DOI 10.1016/S0730-725X(02)00490-3, PII S0730725X02004903
    • Kaplan, I., Oldenburg, N. E., Meskell, P., Blake, M., Church, P., and Holupka, E. J., "Real time MRIultrasound image guided stereotactic prostate biopsy," Magnetic Resonance Imaging 20, 295-299 (Apr 2002). (Pubitemid 34791371)
    • (2002) Magnetic Resonance Imaging , vol.20 , Issue.3 , pp. 295-299
    • Kaplan, I.1    Oldenburg, N.E.2    Meskell, P.3    Blake, M.4    Church, P.5    Holupka, E.J.6
  • 4
    • 35148888594 scopus 로고    scopus 로고
    • Fusion of realtime transrectal ultrasound with pre-acquired MRI for multi-modality prostate imaging
    • DOI 10.1117/12.710344, Medical Imaging 2007: Visualization and Image-Guided Procedures
    • Kruecker, J., Xu, S., Glossop, N., Guion, P., Choyke, P., Singh, A., and Wood, B. J., "Fusion of realtime transrectal ultrasound with pre-acquired MRI for multimodality prostate imaging," in Visualization, Image-Guided Procedures, and Display, SPIE Medical Imaging 6509, 650912 (2007). (Pubitemid 47549982)
    • (2007) Progress in Biomedical Optics and Imaging - Proceedings of SPIE , vol.6509 , Issue.PART 1 , pp. 650912
    • Krucker, J.1    Xu, S.2    Glossop, N.3    Guion, P.4    Choyke, P.5    Ocak, I.6    Singh, A.K.7    Wood, B.J.8
  • 6
    • 0024393833 scopus 로고
    • Random systematic versus directed ultrasound guided transrectal core biopsies of the prostate
    • Hodge, K. K., McNeal, J. E., Terris, M. K., and Stamey, T. A., "Random-systematic versus directed ultrasound-guided core-biopsies of the prostate," J. Urol. 142, 71-75 (1989). (Pubitemid 19184006)
    • (1989) Journal of Urology , vol.142 , Issue.1 , pp. 71-75
    • Hodge, K.K.1    McNeal, J.E.2    Terris, M.K.3    Stamey, T.A.4
  • 7
    • 0038442893 scopus 로고    scopus 로고
    • Prostate boundary detection from ultrasonographic images
    • Shao, F., Ling, K. V., Ng, W. S., and Wu, R., "Prostate boundary detection from ultrasonographic images," J. Ultrasound Med. 22, 605-623 (2003). (Pubitemid 36637625)
    • (2003) Journal of Ultrasound in Medicine , vol.22 , Issue.6 , pp. 605-623
    • Shao, F.1    Ling, K.V.2    Ng, W.S.3    Wu, R.Y.4
  • 8
    • 33746885878 scopus 로고    scopus 로고
    • Ultrasound image segmentation: A survey
    • DOI 10.1109/TMI.2006.877092, 1661695
    • Nobel, J. A. and Boukerroui, D., "Ultrasound image segmentation: A survey," IEEE Trans. Med. Imaging 25(8), 987-1010 (2006). (Pubitemid 44192172)
    • (2006) IEEE Transactions on Medical Imaging , vol.25 , Issue.8 , pp. 987-1010
    • Noble, J.A.1    Boukerroui, D.2
  • 10
    • 0343664401 scopus 로고    scopus 로고
    • Prostate boundary segmentation from 2D ultrasound images
    • DOI 10.1118/1.1286722
    • Ladak, H. M., Mao, F., Wang, Y., Downey, D. B., Steinman, D. A., and Fenster, A., "Prostate boundary segmentation from 2d ultrasound images," Med. Phys. 27(8), 1777-1788 (2000). (Pubitemid 30666353)
    • (2000) Medical Physics , vol.27 , Issue.8 , pp. 1777-1788
    • Ladak, H.M.1    Moa, F.2    Wang, Y.3    Downey, D.B.4    Steinman, D.A.5    Fenster, A.6
  • 11
    • 0037508891 scopus 로고    scopus 로고
    • Semiautomatic three-dimensional segmentation of the prostate using two-dimensional ultrasound images
    • DOI 10.1118/1.1568975
    • Wang, Y., Cardinal, H. N., Downey, D. B., and Fenster, A., "Semiautomatic three-dimensional segmentation of the prostate using two-dimensional ultrasound images," Med. Phys. 30, 887-897 (May 2003). (Pubitemid 36578692)
    • (2003) Medical Physics , vol.30 , Issue.5 , pp. 887-897
    • Wang, Y.1    Cardinal, H.N.2    Downey, D.B.3    Fenster, A.4
  • 12
    • 0344823746 scopus 로고    scopus 로고
    • Automated Segmentation of 3D US Prostate Images Using Statistical Texture-Based Matching Method
    • Medical Image Computing and Computer-Assisted Intervention - MICCAI 2003
    • Shen, D., Zhan, Y., and Davatzikos, C., "Segmentation of prostate boundaries from ultrasound images using statistical shape model," IEEE Trans. Med. Imaging 22, 539-551 (2003). (Pubitemid 37477158)
    • (2003) LECTURE NOTES IN COMPUTER SCIENCE , Issue.2878 , pp. 688-696
    • Zhan, Y.1    Shen, D.2
  • 13
    • 33644636043 scopus 로고    scopus 로고
    • Deformable segmentation of 3-D ultrasound prostate images using statistical texture matching method
    • DOI 10.1109/TMI.2005.862744
    • Zhan, Y. and Shen, D., "Deformable segmentation of 3-D ultrasound prostate images using statistical texture matching method," IEEE Trans. Med. Imaging 25(3), 256-272 (2006). (Pubitemid 43320643)
    • (2006) IEEE Transactions on Medical Imaging , vol.25 , Issue.3 , pp. 256-272
    • Zhan, Y.1    Shen, D.2
  • 14
    • 1642329942 scopus 로고    scopus 로고
    • Parametric shape modeling using deformable superellipses for prostate segmentation
    • Gong, L., Pathak, S. D., Haynor, D. R., Cho, P. S., and Kim, Y., "Parametric shape modeling using deformable superellipses for prostate segmentation," IEEE Trans. Med. Imaging 23(3), 340-349 (2004).
    • (2004) IEEE Trans. Med. Imaging , vol.23 , Issue.3 , pp. 340-349
    • Gong, L.1    Pathak, S.D.2    Haynor, D.R.3    Cho, P.S.4    Kim, Y.5
  • 15
    • 2942541400 scopus 로고    scopus 로고
    • An interacting multiple model probabilistic data association filter for cavity boundary extraction from ultrasound images
    • Abolmaesumi, P. and Sirouspour, M. R., "An interacting multiple model probabilistic data association filter for cavity boundary extraction from ultrasound images," IEEE Trans. Med. Imaging 23(6), 772-784 (2004).
    • (2004) IEEE Trans. Med. Imaging , vol.23 , Issue.6 , pp. 772-784
    • Abolmaesumi, P.1    Sirouspour, M.R.2
  • 16
    • 33846005500 scopus 로고    scopus 로고
    • Prostate boundary segmentation from ultrasound images using 2D active shape models: Optimisation and extension to 3D
    • DOI 10.1016/j.cmpb.2006.07.001, PII S0169260706001532
    • Hodge, A. C., Fenster, A., Downey, D. B., and Ladak, H. M., "Prostate boundary segmentation from ultrasound images using 2D active shape models: Optimisation and extension to 3D," Computer Methods and Programs in Biomedicine 84, 99-113 (2006). (Pubitemid 46053596)
    • (2006) Computer Methods and Programs in Biomedicine , vol.84 , Issue.2-3 , pp. 99-113
    • Hodge, A.C.1    Fenster, A.2    Downey, D.B.3    Ladak, H.M.4
  • 19
    • 0026741340 scopus 로고
    • A fast algorithm for active contours and curvature estimation
    • Williams, D. J. and Shah, M., "A fast algorithm for active contours and curvature estimation," CVGIP: Image Underst. 55(1), 14-26 (1992).
    • (1992) CVGIP: Image Underst. , vol.55 , Issue.1 , pp. 14-26
    • Williams, D.J.1    Shah, M.2
  • 20
    • 27244441460 scopus 로고    scopus 로고
    • Shape priors and online appearance learning for variational segmentation and object recognition in static scenes
    • Pattern Recognition: 27th DAGM Symposium: Proceedings
    • Bergtholdt, M. and Schnörr, C., "Shape priors and online appearance learning for variational segmentation and object recognition in static scenes," in Pattern Recognition, Proc. 27th DAGM Symposium, LNCS 3663, 342-350, Springer (2005). (Pubitemid 41520673)
    • (2005) Lecture Notes in Computer Science , vol.3663 , pp. 342-350
    • Bergtholdt, M.1    Schnorr, C.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.