A new denoising technique for ultrasound images using morphological properties of speckle combined with tissue classifying parameters

Proceedings of SPIE - The International Society for Optical Engineering

Volumn 4687, Issue , 2002, Pages 324-333

  Stippel, Gjenna ^a   Philips, Wilfried ^a   Lemahieu, Ignace ^a  

^a GHENT UNIVERSITY   (Belgium)

Author keywords

Medical ultrasound; Morphology; Speckle; Texture; Tissue classification

Indexed keywords

IMAGE ANALYSIS; IMAGE SEGMENTATION; NEONATAL MONITORING; SPECKLE; SPURIOUS SIGNAL NOISE; TEXTURES; TISSUE; ULTRASONIC IMAGING; ULTRASONICS;

MEDICAL ULTRASOUND;

MEDICAL IMAGING;

EID: 0036031271     PISSN: 0277786X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1117/12.462169     Document Type: Conference Paper

References (18)

1. J. Lee, "Digital image enhancement and noise filtering by use of local statistics," IEEE Transactions on Pattern Analysis and Machine Intelligence 2(2), pp. 165-168, 1980.
2. V. Frost, J. Stiles, K. Shanmugan, and J. Holtzman, "A model for radar images and its application to adaptive digital filtering and multiplicative noise," IEEE Transactions on Pattern Analysis and Machine Intelligence 4, pp. 157-166, Mar. 1982.
3. M. Malfait and D. Roose, "Wavelet-based image de-noising using a markov random field a priori model," IEEE Transactions on Image Processing 6, pp. 549-565, Apr. 1997.
4. F. Sattar, L. Floreby, G. Salomonnson, and B. Lövström, "Image enhancement based on nonlinear multi-scale method," IEEE Transactions on Image Processing 6, pp. 888-895, June 1997.
5. T. Loupas, W.N. McDicken, and P.L. Allan "An adaptive weighted median filter for speckle suppression in medical ultrasonic images," IEEE Transactions on Circuits and Systems 36, pp. 129-135, Jan. 1989.
6. M. Karaman, M. Alper Kutay, and G. Bozdagi, "An adaptive speckle suppression filter for medical ultrasonic imaging," IEEE Transactions on Medical Imaging 14, pp. 283-292, June 1995.
7. P. Govaert and L. De Vries, An atlas of neonatal brain sonography, Clinics in Developmental Medicine, London: McKeith Press, 1996.
8. P. Govaert and L. De Vries, Geluiden uit de hersenen van de pasgeborene, St.-Luc, Nazareth, 1995.
9. B. Simaeys, W. Philips, I. Lemahieu, and P. Govaert, "Quantitative analysis of the neonatal brain by ultrasound," Computerized Medical Imaging and Graphics 24, pp. 11-18, 2000.
10. O. Basset, Z. Sun, J. Mestas, and G. Gimenez, "Texture analysis of ultrasonic images of the prostate by means of co-occurrence matrices," Ultrasonic Imaging 15, pp. 218-237, 1993.
11. Y. Kadah, A. Farag, J. Zurada, A. Badawi, and A. Youssef, "Classification algorithms for quantitative tissue characterization of diffuse liver disease from ultrasound images," IEEE Transactions on Medical Imaging 15(4), pp. 466-478, 1996.
12. Y.-N. Sun, H.-M. Horng, X.-Z. Lin, and J.-Y. Wang, "Ultrasonic image analysis for liver diagnosis," IEEE in Medicine and Biology, pp. 93-101, Nov./Dec. 1996.
13. G. Schmitz, H. Ermert, and T. Senge, "Tissue characterizations of the prostate using kohonen maps," in Proceedings of the IEEE Ultrasonics Symposium, pp. 1487-1490, 1994.
14. A. Huynen, R. Giessen, J. de la Rosette, R. Aamink, F. Debruyne, and H. Wijkstra, "Analysis of ultrasonographic prostate images for the detection of prostatic carcinoma: the automated urologic diagnostic expert system," Ultrasound in Medical Biology 20, pp. 1-10, 1994.
15. R.F. Wagner, S.W. Smith, and J.M. Sandrik, "Statistics of speckle in ultrasound b-scans," IEEE Trans. Son. Ultrason. 30, pp. 156-163, May 1983.
16. J.M. Thijsen and B.J. Oosterveld, "Texture in tissue echograms; speckle or information?," J. Ultrasound Med. 19, pp. 215-229, 1990.
17. C. Zu and J. Prince, "Gradient vector flow: a new external force for snakes," in Conference on Computer Vision and Pattern Recognition (CVPR'97), pp. 66-71, 1997.
18. C. Zu and J. Prince, "Snakes, shapes, and gradient vector flow," IEEE Transactions on Image Processing 7, pp. 359-369, Mar. 1998.