Improved early stroke detection: Wavelet-based perception enhancement of computerized tomography exams

Computers in Biology and Medicine

Volumn 37, Issue 4, 2007, Pages 524-533

  Przelaskowski, A ^a   Sklinda, K ^b   Bargiel P ^a   Walecki, J ^b   Biesiadko Matuszewska, M ^c   Kazubek, M ^a  

^a WARSAW UNIVERSITY OF TECHNOLOGY   (Poland)

^b MEDICAL CENTER FOR POSTGRADUATE EDUCATION   (Poland)

^c Wolski Hospital   (Poland)

Author keywords

Acute ischemic stroke detection; Perception enhancement; Wavelet based image processing

Indexed keywords

BRAIN MODELS; DATA PROCESSING; FEATURE EXTRACTION; IMAGE PROCESSING; OBJECT RECOGNITION; TISSUE; WAVELET TRANSFORMS;

ACUTE ISCHEMIC STROKE DETECTION; DETECTION EFFICIENCY; PERCEPTION ENHANCEMENT; STROKE DETECTION; WAVELET-BASED IMAGE PROCESSING;

COMPUTERIZED TOMOGRAPHY;

ALGORITHM; ARTICLE; COMPUTER ASSISTED TOMOGRAPHY; CONTRAST ENHANCEMENT; HUMAN; IMAGE ENHANCEMENT; IMAGE PROCESSING; NOISE REDUCTION; PRIORITY JOURNAL; PROBLEM SOLVING; SENSITIVITY AND SPECIFICITY; STROKE;

ACUTE DISEASE; ADULT; AGED; AGED, 80 AND OVER; ALGORITHMS; ARTIFICIAL INTELLIGENCE; BRAIN STEM INFARCTIONS; CEREBRAL INFARCTION; EARLY DIAGNOSIS; FEMALE; FOLLOW-UP STUDIES; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; INFARCTION, MIDDLE CEREBRAL ARTERY; LINEAR MODELS; MALE; MATHEMATICAL COMPUTING; MIDDLE AGED; PONS; RADIOGRAPHIC IMAGE ENHANCEMENT; SENSITIVITY AND SPECIFICITY; SOFTWARE; TOMOGRAPHY, X-RAY COMPUTED;

EID: 33846475628     PISSN: 00104825     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.compbiomed.2006.08.004     Document Type: Article

References (38)

1. Adams H., Adams R., Del Zoppo G., and Goldstein L.B. Guidelines for the early management of patients with ischemic stroke, 2005 guidelines update, A scientific statement from the Stroke Council of the American Heart Association/American Stroke Association. Stroke 36 (2005) 916-921
2. von Kummer R. The impact of CT on acute stroke treatment. In: Lyden P. (Ed). Thrombolytic Therapy for Stroke (2005), Humana Press, Totowa, New Jersey, USA 249-278
3. Tomura N., Uemura K., et al. Early CT finding in cerebral infarction. Radiology 168 (1988) 463-467
4. Bozzao L., Bastianello S., et al. Correlation of angiographic and sequential CT findings in patients with evolving cerebral infarction. AJNR Am. J. Neuroradiol. 10 (1989) 1215-1222
5. von Kummer R., Allen K.L., et al. Acute stroke: usefulness of early CT findings before thrombolytic therapy. Radiology 205 (1997) 327-333
6. Horowitz S.H., Zito J.L., et al. Computed tomographic-angiographic findings within the first five hours of cerebral infarction. Stroke 22 (1991) 1245-1253
7. Hacke W., Kaste M., Fieschi C., et al. Intravenous thrombolysis with recombinant tissue plasminogen activator for acute hemispheric stroke (ECASS). JAMA 274 (1995) 1017-1025
8. Hacke W., Kaste M., Fieschi C., et al. Randomised double-blind placebo-controlled trial of thrombolytic therapy with intravenous alteplase in acute ischaemic stroke (ECASS II). Lancet 352 (1998) 1245-1251
9. von Kummer R., and Bourquain H. Early prediction of irreversible brain damage after ischemic stroke at CT. Radiology 219 (2001) 95-100
10. Schuier F.J., and Hossmann K.A. Experimental brain infarcts in cats. II. Ischemic brain edema. Stroke 6 (1980) 593-602
11. Dzialowski I., Weber J., et al. Brain tissue water uptake after middle cerebral artery occlusion assessed with CT. J. Neuroimag. 14 (2004) 42-48
12. von Kummer R., and Weber J. Brain and vascular imaging in acute ischemic stroke: the potential of computed tomography. Neurology 49 Suppl. 4 (1997) 52-55
13. Bendszus M., Urbach H., Meyer B., Schultheiss R., and Solymosi L. Improved CT diagnosis of acute middle cerebral artery territory infarcts with density-difference analysis. Neuroradiology 39 2 (1997) 127-131
14. European guidelines in quality criteria for computed tomography, Report EUR 16262, Office for Official Publications of the European Communities, Brussels, 1999.
15. E.H. Weber, De pulsu, resorptione, audita et tactu.-Annotationes anatomicae et physiologicae-, Leipzig, Koehler, 1834 (Translated by H.E. Ross, Academic Press, New York, 1978).
16. Wardlaw J.M., and Mielke O. Early signs of brain infarction at CT: observer reliability and outcome after thrombolytic treatment-systematic review. Radiology 235 (2005) 444-453
17. Lev M.H., Farkas J., et al. Acute stroke: improved nonenhanced CT detection-benefits of soft-copy interpretation by using variable window width and center level settings. Radiology 213 (1999) 150-155
18. Gadda D., Vannucchi L., et al. CT in acute stroke: improved detection of dense intracranial arteries by varying window parameters and performing a thin-slice helical scan. Neuroradiology 44 (2002) 900-906
19. A. Przelaskowski, J. Walecki, K. Szerewicz, P. Bargieł, Acute stroke detection in unenhanced ct exams: perception enhancement by multi-scale approach, Proceedings of National Conference on Physics and Engineering in the Present Medicine and Health Care-the Challenges to Poland as a New European Union Member, Warsaw, 2005, pp. 94-95.
20. Maldjian J.A., Chalela J., et al. Automated CT segmentation and analysis for acute middle cerebral artery stroke. AJNR Am. J. Neuroradiol. 22 (2001) 1050-1055
21. C. Grimm, A. Hochmuth, H.J. Huppertz, Voxel-based CT analysis for improved detection of early CT signs in cerebral infarction, Eur. Radiol. B315-B315 (ECR-European Congress of Radiology), 2005.
22. Yu Z., and Bajaj C. A fast and adaptive method for image contrast enhancement. Proc. IEEE ICIP 2 (2004) 1001-1004
23. Kim J.Y., Kim L.S., and Hwang S.H. An advanced contrast enhancement using partially overlapped sub-block histogram equalization. IEEE Trans. Circuits Syst. Video. Technol. 11 4 (2001) 475-484
24. Starck J.L., Murtagh F., Candés E.J., and Donoho D.L. Gray and color image contrast enhancement by the curvelet transform. IEEE Trans. Image Proc. 12 6 (2003) 706-717
25. Bonnier N., and Simoncelli E.P. Locally adaptive multiscale contrast optimization. Proc. IEEE ICIP 2 (2005) 1001-1004
26. D.K. Hammond, E.P. Simoncelli, Nonlinear image representation via local multiscale orientation, Courant Institute Technical Report TR2005-875, 2005.
27. Fayad L.M., Jin Y., et al. Chest CT window settings with multiscale adaptive histogram equalization: pilot study. Radiology 223 (2002) 845-852
28. Burke Hubbard B. The World According to Wavelets: the Story of a Mathematical Technique in the Making (1998), AK Peters, Wellesley, MA
29. Daubechies I. Ten lectures on wavelets (1995), SIAM
30. Strang G., and Nguyen T. Wavelets and Filter Banks (1997), Wellesley-Cambridge Press, Wellesley, USA
31. Mallat S. A Wavelet Tour of Signal Processing (1999), Academic Press, New York
32. A. Aldroubi, M.A. Unser (Eds.), Wavelets in Medicine and Biology, CRC Press, Boca Raton FL, USA, 1996.
33. Pizurica A., and Philips W. A versatile wavelet domain noise filtration technique for medical imaging. IEEE Trans. Med. Imag. 22 3 (2003) 323-331
34. Sajda P., Laine A., and Zeevi Y. Multi-resolution and wavelet representations for identifying signatures of disease. Disease Markers 18 (2002) 339-363
35. Ruderman D.L. Origins of scaling in natural images. Vision Res. Elsevier 37 23 (1997) 3385-3398
36. Vaidyanathan P.P. Multirate Systems and Filter Banks (1993), Prentice-Hall, Upper Saddle River, NJ, USA
37. A. Zandi, J.D. Allen, E.L. Schwartz, M. Boliek, CREW: compression with reversible embedded wavelets, Proceedings of 1995 IEEE Data Compression Conference, IEEE Computer Society Press, Los Alamitos CA, 1995.
38. Cohen A., Daubechies I., and Feauveau J.C. Bi-orthogonal bases of compactly supported wavelets. Commun. Pure Appl. Math. 45 (1992) 485-560