Image filtering techniques for medical image post-processing: An overview

British Journal of Radiology

Volumn 77, Issue SPEC. ISS. 2, 2004, Pages

  Behrenbruch, C P ^a,b   Petroudi, S ^a   Bond, S ^a   Declerck, J D ^b   Leong, F J ^b,c   Brady, J M ^a  

^a UNIVERSITY OF OXFORD   (United Kingdom)

^b Mirada Solutions Ltd   (United Kingdom)

^c UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHM; DIAGNOSTIC IMAGING; ECHOGRAPHY; IMAGE ANALYSIS; IMAGE PROCESSING; IMAGE QUALITY; IMAGING SYSTEM; LIGHT SCATTERING; MAMMOGRAPHY; NUCLEAR MAGNETIC RESONANCE IMAGING; POSITRON EMISSION TOMOGRAPHY; RADIOFREQUENCY; REVIEW; X RAY;

ALGORITHMS; ARTIFACTS; DIAGNOSTIC IMAGING; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; MAGNETIC RESONANCE IMAGING; TOMOGRAPHY, X-RAY COMPUTED;

EID: 14044279280     PISSN: 00071285     EISSN: None     Source Type: Journal    
DOI: 10.1259/bjr/17464219     Document Type: Review

References (20)

1. Hashemi RH, Bradley WG. MRI the basics. Lippincott Williams and Wilkins, 2002.
2. Wagner RF. Statistics of speckle in ultrasound B-scans. IEEE Trans Sonics Ultrasonics 1983;30:156-63.
3. Highnam RP, Brady M, English R. Detecting film-screen shot noise in mammography using a model-based approach. IEEE Trans Med Imaging 1999;18:1016-24.
4. Cherry SR, Sorenson JA, Phelps ME. Physics in nuclear medicine. W B Saunders, 2003.
5. Qi J, Leahy R. Resolution and noise properties of MAP reconstructions in fully 3D PET. IEEE Trans Med Imaging 2000;19:493-506.
6. Weickert J. Anisotropic diffusion in image processing, ECMI Series. Stuttgart, Germany: Teubner-Verlag 1998.
7. Mallat S. A wavelet tour of signal processing. Academic Press, 1998.
8. Wavelet Toolbox User's Guide (Matlab), The Mathworks, 1997-2000.
9. Brady M, Highnam R. Mammographic image analysis. Kluwer Series on Medical Image Understanding. Kluwer, 1999.
10. Forsyth DA, Ponce J. Computer vision: a modern approach. Prentice Hall, 2003.
11. Behrenbruch CP. Image fusion for the management of breast cancer. Doctoral Thesis, Department of Engineering Science, University of Oxford, 2002.
12. Guillemaud R, Brady M. Estimating the bias field of MR images. IEEE Trans Med Imaging 1997;16:238-51.
13. Styner M. Parametric estimate of intensity inhomogeneities applied to MRI. IEEE Trans Med Imaging 2000;19:153-65.
14. Hayton P, Brady M, Smith S, Moore N. A non-rigid registration algorithm for dynamic breast MR images. Artificial Intelligence 1999;114:125-56.
15. Dubuisson MP, Dubes RC. Efficacy of fractal features in segmentation images of natural textures. Pattern Recognition Letters 1994;15:419-31.
16. Leung T, Malik J. Representing and recognizing the visual appearance of materials seeing three-dimensional textons. Int J Computer Vision 2001;43:29-44.
17. Varma M, Zisserman A. Classifying images of materials: achieving viewpoint and illumination independence. Proceedings of the European Conference on Computer Vision, Copenhagen, Denmark. 2002;255:271.
18. Petroudi S, Kadir T, Brady M. Automatic classification of mammographic parenchymal patterns: A statistical approach. In: Proceedings of EMBC, International Conference on Engineering in Medicine and Biology. IEEE, 2003:798-801.
19. Jacob G, Noble JA, Behrenbruch C, Kelion AD, Banning AP. A shape-space-based approach to tracking myocardial borders and quantifying regional left-ventricular function applied in echocardiography. IEEE Trans Med Imaging 2002;21:226-38.
20. Boukerroui D, Noble JA, Robini MC, Brady M. Enhancement of contrast regions in suboptimal ultrasound images with application to echocardiography. Ultrasound Med Biol 2001;27:1583-94.