Browse > Article

Prostate Object Extraction in Ultrasound Volume Using Wavelet Transform  

Oh Jong-Hwan (Telecommunication Network, Samsung Electronics)
Kim Sang-Hyun (Department of Multimedia Engineering, Youngsan University)
Kim Nam-Chul (Department of Electronic Engineering, Kyungpook National University)
Publication Information
Journal of the Institute of Electronics Engineers of Korea SC / v.43, no.3, 2006 , pp. 67-77 More about this Journal
Abstract
This thesis proposes an effi챠ent method for extracting a prostate volume from 3D ultrasound image by using wavelet transform and SVM classification. In the proposed method, a modulus image for each 2D slice is generated by averaging detail images of horizontal and vertical orientations at several scales, which has the sharpest local maxima and the lowest noise power compared to those of all single scales. Prostate contour vertices are determined accurately using a SVM classifier, where feature vectors are composed of intensity and texture moments investigated along radial lines. Experimental results show that the proposed method yields absolute mean distance of on average 1.89 pixels when the contours obtained manually by an expert are used as reference data.
Keywords
전립선;웨이브렛 변환;모듈러스;SVM 분류기;방사선;
Citations & Related Records
연도 인용수 순위
  • Reference
1 S. Mallat and S. Zhong, 'Characterization of signals from multiscale edges,' IEEE Trans. Pattern Anal. Machine Intell., vol. 14, pp. 710-731, July 1992   DOI   ScienceOn
2 I. El-Naqa, Y. Yongyi, M. N. Wernick, N. p. Galatsanos, and R. M. Nishikawa, 'A support vector machine approach for detection of microcalcifications,' IEEE Trans. Med. Imaging, vol. 21, pp. 1552-1563, Dec. 2002   DOI   ScienceOn
3 K. R. Muller, S. Mika, G. Ratsch, K. Tsuda, and B. Scholkopf, 'An introduction to kernel-based learning algorithms,' IEEE Trans. Neural Networks, vol. 12, pp. 181-201, Mar. 2001   DOI   ScienceOn
4 Y. D. Chun, S. Y. Seo, and N. C. Kim, 'Image retrieval using BDIP and BVLC moments,' IEEE Trans. Circuits Syst. Video Technol., vol. 13, pp. 951-957, Sep. 2003   DOI   ScienceOn
5 E. Steen and B. Olstad, 'Volume rendering of 3D medical ultrasound data using direct feature mapping,' IEEE Trans. Med. Imaging, vol. 13, pp. 517-525, Sep. 1994   DOI   ScienceOn
6 F. Shao, K. V. Ling, W. S. Ng, and R. Y. Wu, 'Prostate boundary detection from ultrasonographic images: review article,' Jour. Ultrasound Med., vol. 22, pp. 605-623, 2003   DOI
7 S. D. Pathak, V. Chalana, D. R. Haynor, and Y. Kim, 'Edge-guided boundary delineation in prostate ultrasound images,' IEEE Trans. Med. Imaging, vol. 19, pp. 1211-1219, Dec. 2000   DOI   ScienceOn
8 R. Sahba, H. R. Tizhoosh, and M. M. A. Salama, 'A coarse-to-fine approach to prostate boundary segmentation in ultrasound images,' BioM. Eng. Online, vol. 4, pp. 58, Oct. 2005   DOI   ScienceOn
9 Z. Fangwei and C. J. S. deSilva, 'Contour extraction in prostate ultrasound images using the wavelet transform and snakes,' Proc. Int. Conf. Engin. in Medicine and Biol. Society, vol. 3, Istanbul, Turkey, Oct. 2001, pp. 2641-2544   DOI
10 M. Kass, A. Witkin, and D. Terzopoulos, 'Snakes: Active contour models.' Int. Jour. Computer Vision. vol. 1, pp. 321-331, 1987   DOI
11 B. Nacim, V. Maximilien, P. David, M. Salah, and R. Jean, 'Segmentation of abdominal ultrasound images of the prostate using a priori information and an adapted noise filter,' Comput. Med. Imaging Graphic., vol. 29, pp. 43-51, 2005   DOI   ScienceOn
12 A. Fenster, S. Tong, H. N. Cardinal, C. Blake, and D. B. Downey, 'Three-dimensional ultrasound imaging system for prostate cancer diagnosis and treatment,' IEEE Trans. Instrum. and Measurem., vol. 47, pp. 1439-1447, Dec. 1998   DOI   ScienceOn
13 S. D. Pathak, P. D. Grimm, V. Chalana, and Y. Kim, 'Pubic arch detection in transrectal ultrasound guided prostate cancer therapy,' IEEE Trans. Med. Imaging, vol. 17, pp. 762-771, Oct. 1998   DOI   ScienceOn
14 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, pp. 4943-4960, Oct. 2004   DOI   ScienceOn
15 D. Shen, Y. Zhan, and C. Davatzikos, 'Segmentation of prostate boundaries from ultrasound images using statistical shape model,' IEEE Trans. Med. Imaging, vol. 22, pp. 539-551, Apr. 2003   DOI   ScienceOn
16 L. Gong, S. D. Pathak, D. H. Haynor and Y. Kim, 'Parametric shape modeling using deformable superellipses for prostate segmentation,' IEEE Trans. Med. Imaging, vol. 23, pp.340-349, Mar. 2004   DOI   ScienceOn
17 American cancer society homepage [Online]. Available: http://www.cancer.org