Stroke display extensions: Three forms of visualization

Advances in Soft Computing

Volumn 47, Issue , 2008, Pages 139-148

  Przelaskowski, Artur ^a   Sklinda, Katarzyna ^b   Ostrek, Grzegorz ^a  

^a WARSAW UNIVERSITY OF TECHNOLOGY   (Poland)

^b MEDICAL CENTER FOR POSTGRADUATE EDUCATION   (Poland)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 58149196496     PISSN: 16153871     EISSN: 18600794     Source Type: Book Series    
DOI: 10.1007/978-3-540-68168-7_14     Document Type: Article

References (19)

1. Rudd, A., Olfe, C.: Aethiology and pathology of stroke. Hospital Pharmacist 2, 32-36 (2002)
2. Adams, H., Adams, R., Del Zoppo, G., Goldstein, L.B.: Guidelines for the early management of patients with ischemic stroke, 2005 update. A scientific statement from the Stroke Council of the American Heart Association/American Stroke Association. Stroke 36, 916-921 (2005)
3. von Kummer, R.: The impact of CT on acute stroke treatment. In: Lyden, P. (ed.) Thrombolytic Therapy for Stroke, Humana Press, Totowa, New Jersey (2005)
4. Tomura, N., Uemura, K., et al.: Early CT finding in cerebral infarction. Radiology 168, 463-467 (1988)
5. Bozzao, L., Bastianello, S., et al.: Correlation of angiographic and sequential CT findings in patients with evolving cerebral infarction. AJNR Am. J. Neuroradiol. 10, 1215-1222 (1989)
6. von KummUr, R., Allen, K.L., et al.: Acute stroke: usefulness of early CT findings before thrombolytic therapy. Radiology 205, 327-333 (1997)
7. Wardlaw, J.M., Mielke, O.: Early signs of brain infarction at CT: observer reliability and outcome after thrombolytic treatmentsystematic review. Radiology 235, 444-453 (2005)
8. http://www.strokeassociation.org/presenter.jhtml?identifier=1020
9. Markus, H.S.: Cerebral perfusion and stroke. J. Neurol. Neurosurg. Psychiatry 75, 353-361 (2004)
10. Unger, E., Littlefield, J., Gado, M.: Water content and water structure in CT and MR signal changes: Possible influence in detection of early stroke. Am. J. Neuroradiol. 9, 687-691 (1988)
11. Truwit, C.L., Barkovich, A.J., Gean-Marton, A., Hibri, N., Norman, D.: Loss of insular ribbon: Another early CT sign of acute middle cerebral artery infarction. Radiology 176, 801-806 (1990)
12. Bendszus, M., Urbach, H., et al.: Improved CT diagnosis of acute middle cerebral artery territory infarcts with density-difference analysis. Neuroradiology 39(2), 127-131 (1997)
13. Starck, J.L., Murtagh, F., Candes, E.J., Donoho, D.L.: Gray and color image contrast enhancement by the curvelet transform. IEEE Trans. Image Proc. 12(6), 706-717 (2003)
14. Bonnier, N., Simoncelli, E.P.: Locally adaptive multiscale contrast optimization. Proc. IEEE ICIP 2, 1001-1004 (2005)
15. Hammond, D.K., Simoncelli, E.P.: Nonlinear image representation via local multiscale orientation. Courant Institute Technical Report TR2005-875 (2005)
16. Fayad, L.M., Jin, Y., et al.: Chest CT window settings with multiscale adaptive histogram equalization: Pilot study. Radiology 223, 845-852 (2002)
17. Przelaskowski, A., Sklina, K., Bargiel, P., Walecki, J., Biesiadko-Matuszewska, M., Kazubek, M.: Improved early stroke detection: wavelet-based perception enhancement of computerized tomography exams. Comp. Biol. Med. 37, 524-533 (2007)
18. Candes, E.J., Donoho, D.: Curvelets - a surprisingly effective nonadaptive representation for objects with edges. In: Schumaker, L.L., et al. (eds.) Curves and Surfaces, Vanderbilt University Press, Nashville (1999)
19. Candes, E.J., Demanet, L., Donoho, D., Ying, L.: Fast discrete curvelet transforms. Multiscale Model Simul. 5, 861-899 (2005)