Summary
The computer-assisted support of acute ischemic stoke detection was the subject of our research reported in this paper. The conditioning of early stroke diagnosis based on CT examinations was analyzed. The multiscale extraction of the subtlest signs of hypodensity which were often undetected in standard CT scan review was presented. Proposed method was as follows: evidence-based description of ischemic changes, the analysis of hypodensity signs across scales, noise reduction and hypodensity extraction, and following display of ischemic changes localized in source brain image space. Important issues were: –extension of the brain tissues for marginal and missing space after deskulling and segmenting of unusual areas; –multiscale transform selection; –denoising in scale-space domain; –visualization conditions fixing. Three forms of extracted stroke sings visualization were proposed. Increased visibility of cerebral ischemia for difficult-in-diagnosis cases was experimentally noticed.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Rudd, A., Olfe, C.: Aethiology and pathology of stroke. Hospital Pharmacist 2, 32–36 (2002)
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)
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)
Tomura, N., Uemura, K., et al.: Early CT finding in cerebral infarction. Radiology 168, 463–467 (1988)
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)
von Kummer, R., Allen, K.L., et al.: Acute stroke: usefulness of early CT findings before thrombolytic therapy. Radiology 205, 327–333 (1997)
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)
http://www.strokeassociation.org/presenter.jhtml?identifier=1020
Markus, H.S.: Cerebral perfusion and stroke. J. Neurol. Neurosurg. Psychiatry 75, 353–361 (2004)
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)
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)
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)
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)
Bonnier, N., Simoncelli, E.P.: Locally adaptive multiscale contrast optimization. Proc. IEEE ICIP 2, 1001–1004 (2005)
Hammond, D.K., Simoncelli, E.P.: Nonlinear image representation via local multiscale orientation. Courant Institute Technical Report TR2005–875 (2005)
Fayad, L.M., Jin, Y., et al.: Chest CT window settings with multiscale adaptive histogram equalization: pilot study. Radiology 223, 845–852 (2002)
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)
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)
Candes, E.J., Demanet, L., Donoho, D., Ying, L.: Fast discrete curvelet transforms. Multiscale Model Simul. 5, 861–899 (2005)
Author information
Authors and Affiliations
Editor information
Rights and permissions
Copyright information
© 2008 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Przelaskowski, A., Sklinda, K., Ostrek, G. (2008). Stroke Display Extensions: Three Forms of Visualization. In: Pietka, E., Kawa, J. (eds) Information Technologies in Biomedicine. Advances in Soft Computing, vol 47. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-68168-7_14
Download citation
DOI: https://doi.org/10.1007/978-3-540-68168-7_14
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-68167-0
Online ISBN: 978-3-540-68168-7
eBook Packages: EngineeringEngineering (R0)