Prostate boundary detection from ultrasonographic images

Journal of Ultrasound in Medicine

Volumn 22, Issue 6, 2003, Pages 605-623

  Shao, Fan ^a   Ling, Keck Voon ^a   Ng, Wan Sing ^b   Wu, Ruo Yun ^b  

^a NANYANG TECHNOLOGICAL UNIVERSITY   (Singapore)

^b NANYANG TECHNOLOGICAL UNIVERSITY   (Singapore)

Author keywords

Algorithm verification; Boundary detection; Prostate; Ultrasonographic image

Indexed keywords

MEDICAL IMAGING; SONOCHEMISTRY; ULTRASONICS;

PROSTATE BOUNDARY DETECTION;

BIOMEDICAL ENGINEERING;

ALGORITHM; DIAGNOSTIC ACCURACY; DIAGNOSTIC IMAGING; ECHOGRAPHY; HUMAN; IMAGE ANALYSIS; IMAGE QUALITY; MALE; PROSTATE DISEASE; REVIEW; SENSITIVITY AND SPECIFICITY; STATISTICAL MODEL;

EID: 0038442893     PISSN: 02784297     EISSN: None     Source Type: Journal    
DOI: 10.7863/jum.2003.22.6.605     Document Type: Review

References (54)

1. Berry SJ, Coffey DS, Walsh PC, Ewing LL. The development of human benign prostatic hyperplasia with age. J Urol 1984; 132:474-479.
2. Von Eschenbach A, Ho R, Murphy GP, Cunningham M, Lins N. American Cancer Society guideline for the early detection of prostate cancer: update 1997. CA Cancer J Clin 1997; 47:261-264.
3. Littrup PJ, Kane RA, Mettlin CJ, et al. Cost-effective prostate cancer detection. Cancer 1994; 74:3146-3158.
4. McDicken WN. Diagnostic Ultrasonics. 3rd ed. New York, NY: Churchill Livingstone; 1991.
5. Aarnink RG, Beerlage HP, de la Rosette JJ, Debruyne FMJ, Wijkstra H. Transrectal ultrasound of the prostate: innovations and future applications. J Urol 1998; 159:1568-1579.
6. Lee F, Bahn DK, Siders DB, Greene C. The role of TRUS-guided biopsies for determination of internal and external spread of prostate cancer. Semin Urol Oncol 1998; 16:129-136.
7. Pathak SD, Chalana V, Haynor DR, Kim Y. Edgeguided boundary delineation in prostate ultrasound images. IEEE Trans Med Imaging 2000; 19:1211-1219.
8. Terris MK, Stamey TA. Determination of prostate volume by transrectal ultrasound. J Urol 1991; 145:984-987.
9. Sakas G, Schreyer L, Grimm M. Pre-processing segmenting and volume rendering 3D ultrasonic data. IEEE Comput Graph Appl 1995; 15:47-54.
10. Arambula-Cosio F, Davies BL. Automated prostate recognition: a key process for clinically effective robotic prostatectomy. Med Biol Eng Comput 1999; 37:236-243.
11. Aarnink RG, Giesen RJB, Huynen AL, et al. A practical clinical method for contour determination in ultrasonographic prostate images. Ultrasound Med Biol 1994; 20:705-717.
12. Huynen AL. Automated Interpretation of Ultrasonographic Prostate Images [PhD thesis]. Nijmegen, the Netherlands: University of Nijmegen; 1996.
13. Aarnink RG, Pathak SD, de la Rosette JJ, et al. Edge detection in prostatic ultrasound images using integrated edge maps. Ultrasonics 1998; 36:637-644.
14. Lee JY, Chen CH, Hsien HB, Yang DL, Sun YN. 3D reconstruction of prostate from transrectal ultrasound images. Paper presented at the International Conference and Exhibition on Electronic Measurement and Instrumentation; 1995; Shanghai, China.
15. Chen CH, Lee JY, Yang WH, Chang CM, Sun YN. Segmentation and reconstruction of prostate from transrectal ultrasound images. Biomed Eng 1996; 8:287-292.
16. Liu YJ, Ng WS, Teo MY, Lim HC. Computerised prostate boundary estimation in ultrasound images using the radial bas-relief method. Med Biol Eng Comput 1997; 35:4450-4454.
17. Kwoh CK, Teo MY, Ng WS, Tan SN, Jones LM. Outline of prostate boundary using the harmonics method. Med Biol Eng Comput 1998; 36:768-771.
18. Richard WD, Keen CG. Automated texture-based segmentation of ultrasound images of the prostate. Comput Med Imaging Graph 1996; 20:131-140.
19. Pathak SD, Aarnink RG, de la Rosette JJ, et al. Quantitative three-dimensional trans-rectal ultrasound for prostate imaging. In: Proceedings of SPIE. Vol 3335. Bellingham, WA: SPIE; 1998:83-92.
20. Ladak HM, Mao F, Wang YQ, et al. Prostate segmentation from 2D ultrasound images. Med Phys 2000; 27:1777-1788.
21. Knoll C, Alcaniz M, Grau V, Monserrat C, Juan MC. Outlining of the prostate using snakes with shape restrictions based on the wavelet transform. Pattern Recognit 1999; 32:1767-1781.
22. Knoll C, Alcaniz M, Monserrat C, Grau V, Juan MC. Multiresolution segmentation of medical images using shape-restricted snakes. In: Proceedings of SPIE. Vol 3661. Bellingham, WA: SPIE; 1999:222-233.
23. Prater JS, Richard WD. Segmenting ultrasound images of the prostate using neural networks. Ultrason Imaging 1992; 14:159-185.
24. Lorenz A, Haas C, Ermert H. Segmentation of ultrasonic prostate images using a probabilistic model based on Markov random processes. Ultrason Imaging 1997; 19:44-45.
25. Wu RY, Ling KV, Ng WS. Automatic prostate boundary recognition in sonographic images using feature model and genetic algorithm. J Ultrasound Med 2000; 19:771-782.
26. Ghanei A, Soltanian-Zadeh H, Ratkewicz A, Yin FF. A three-dimensional deformable model for segmentation of human prostate from ultrasound images. Med Phys 2001; 28:2147-2153.
27. Shao F, Ling KV, Ng WS. 3D prostate surface detection from ultrasound images based on level set method. Paper presented at: Medical Image Computing and Computer-Assisted Intervention. Fifth International Conference; September 25-28, 2002; Tokyo, Japan.
28. Czerwinski RN, Jones DL, O'Brien WD Jr. An approach to boundary detection in ultrasound imaging. In: 1993 IEEE Ultrasonics Symposium Proceedings. Piscataway, NJ: Institute of Electrical and Electronics Engineers; 1993:951-955.
29. Perona P, Malik J. Scale-space and edge detection using anisotropic diffusion. IEEE Trans Pattern Anal Machine Intell 1990; 12:629-639.
30. Wu CH, Sun YN. A texture analysis approach for kidney boundary detection from ultrasound images. In: Proceedings of the First Joint Biomedical Engineering Society/Engineers in Medicine and Biology Conference Serving Humanity, Advancing Technology, Atlanta, GA. Vol 2. Los Alamitos, CA: IEEE Computer Society Press; 1999:1138.
31. McInerney T, Terzopoulos D. Deformable models in medical image analysis: a survey. Med Image Anal 1996; 1:91-108.
32. Kass M, Witkin A, Terzopoulos D. Snakes: active contour models. Int J Comput Vis 1988; 1:321-331.
33. Lobregt S, Viergever MA. A discrete dynamic contour model. IEEE Trans Med Imaging 1995; 14:12-24.
34. Mallat S. Wavelets for a vision. In: Proceedings of the IEEE. Vol 84. Piscataway, NJ: Institute of Electrical and Electronics Engineers; 1996:604-614.
35. Dias J, Leitão J. Wall position and thickness estimation from sequences of echocardiogram images. IEEE Trans Med Imaging 1996; 15:25-38.
36. Cootes TF, Taylor CJ, Cooper DH, Graham J. Active shape models: their training and application. Comput Vis Image Underst 1995; 61:38-59.
37. Tong S, Downey DB, Cardinal HN, Fenster A. A three-dimensional ultrasound prostate imaging system. Ultrasound Med Biol 1996; 22:735-746.
38. Sethian JA. Level Set Methods and Fast Marching Methods: Evolving Interfaces in Geometry, Fluid Mechanics, Computer Vision, and Materials Science. Cambridge, England: Cambridge University Press; 1996.
39. Caselles V, Catte F, Coll T, Dibos F. A geometric model for active contours in image processing. Numerische Mathematik 1993; 66:1-31.
40. Caselles V, Kimmel R, Sapiro G. Geodesic active contours. Int J Comput Vis 1997; 22:61-79.
41. McInerney T, Terzopoulos D. Topologically adaptable snakes. In: Proceedings of The Fifth International Conference on Computer Vision, Cambridge, MA. Los Alamitos, CA: IEEE Computer Society Press; 1995:840-845.
42. Malladi R, Sethian J, Vemuri BC. Shape modeling with front propagation: a level set approach. IEEE Transactions Pattern Anal Machine Intell 1995;17:158-175.
43. Sapiro G, Kimmel R, Caselles V. Object detection and measurements in medical images via geodesic deformable contours. In: Proceedings of SPIE: Vision Geometry IV. Vol 2573. Bellingham, WA: SPIE; 1995:366-378.
44. Chalana V, Kim Y. A methodology for evaluation of boundary detection algorithms on medical images. IEEE Trans Med Imaging 1997; 16:642-652.
45. Huttenlocher DP, Klanderman GA, Rucklidge WJ. Comparing images using the Hausdorff distance. IEEE Trans Pattern Anal Machine Intell 1993; 15:850-863.
46. Chalana V, Linker DT, Haynor DR, Kim Y. A multiple active contour model for cardiac boundary detection in echocardiographic sequences. IEEE Trans Med Imaging 1996; 15:290-298.
47. Carrascal FM, Carreira JM, Souta M, et al. Automatic calculation of total lung capacity from automatically traced lung boundaries in posteroanterior and lateral digital chest radiographs. Med Phys 1998; 25:1118-1131.
48. Mao F, Gill J, Fenster A. Technique for evaluation of semiautomatic segmentation methods. In: Proceedings of SPIE: Image Processing. Vol 3661. Bellingham, WA: SPIE; 1999:1027-1036.
49. Cohen J. A coefficient of agreement for nominal scales. Educ Psychol Meas 1960; 20:37-46.
50. Fenster AJ, Tong S, Cardinal HN, Blake C, Downey DB. Three-dimensional ultrasound imaging system for prostate cancer diagnosis and treatment. IEEE Trans Instrum Meas 1998; 47:1439-1447.
51. Tong S, Cardinal HN, Downey DB, Donal B, Fenster A. Three-dimensional ultrasound imaging of the prostate. In: Proceedings of SPIE. Vol 3336. 1998:113-123.
52. Nelson TR, Pretorius DH. Three-dimensional ultrasound imaging. Ultrasound Med Biol 1998; 24:1243-1270.
53. Staib LH, Duncan JS. Boundary finding with parametrically deformable models. IEEE Trans Pattern Anal Machine Intell 1992; 14:1061-1075.
54. Székely G, Kelemen A, Brechbüler C, Gerig G. Segmentation of 2D and 3D objects from MRI volume data using constrained elastic deformations of flexible Fourier surface models. Med Image Anal 1996; 1:19-34.