Abstract
This paper presents a computer assisted support of ischemic stroke diagnosis based on nonenhanced CT examinations acquired in the hyperacute phase of stroke. Computational analysis, recognition, and image understanding methods were used for extraction of the subtlest signs of hypodensity in diagnostically important areas. Starting from perception improvement, suggestive and coarse image data visualization was designed as a complement of the standard diagnosis procedure based on CT scan soft-copy review. The proposed method includes an evidence-based description of ischemic conditions and changes, de-skulling and segmenting of unusual areas, the analysis of hypodensity signs across scales and subbands with noise reduction, and hypodensity extraction. Following visualization, forms of empowered hypodensity symptoms localize suggested ischemic areas in source brain image space. Increased visibility of cerebral ischemia for difficult-to-diagnose cases was experimentally noticed and improved diagnostic value of CT was concluded.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsReferences
von Kummer R (2005) The impact of CT on acute stroke treatment. In: Lyden P (ed) Thrombolytic therapy for stroke. Humana, Totowa, NJ, USA
Tomura N, Uemura K et al (1988) Early CT finding in cerebral infarction. Radiology 168:463–467
Bozzao L, Bastianello S et al (1989) Correlation of angiographic and sequential CT findings in patients with evolving cerebral infarction. AJNR Am J Neuroradiol 10:1215–1222
von Kummer R, Allen KL et al (1997) Acute stroke: usefulness of early CT findings before thrombolytic therapy. Radiology 205:327–333
Hacke W, Kaste M, Fieschi C et al (1995) Intravenous thrombolysis with recombinant tissue plasminogen activator for acute hemispheric stroke (ECASS). JAMA 274:1017–1025
Hacke W, Kaste M, Fieschi C et al (1998) Randomised double-blind placebo-controlled trial of thrombolytic therapy with intravenous alteplase in acute ischaemic stroke (ECASS II). Lancet 352:1245–1251
Wardlaw JM, Mielke O (2005) Early signs of brain infarction at CT: observer reliability and outcome after thrombolytic treatment systematic review. Radiology 235:444–453
Osborn AG (1994) Diagnostic Neuroradiology. Mosby Inc
Doi K (2007) Computer-aided diagnosis in medical imaging: historical review, current status and future potential. Comp Med Im Graph 31:198–211
Bendszus M, Urbach H, Meyer B, Schultheiss R, Solymosi L (1997) Improved CT diagnosis of acute middle cerebral artery territory infarcts with density-difference analysis. Neuroradiology 39(2):127–131
Maldjian JA, Chalela J et al (2001) Automated CT segmentation and analysis for acute middle cerebral artery stroke. AJNR Am J Neuroradiol 22:1050–1055
Grimm C, Hochmuth A, Huppertz HJ (2005) Voxel-based CT analysis for improved detection of early CT signs in cerebral infarction. Eur Radiol B315–B315 (ECR—European Congress of Radiology)
Sklina K, Bargiel P, Przelaskowski A, Bulski T, Walecki J, Grieb P (2007) Multiscale extraction of hypodensity in hyperacute stroke. Med Sci Monit 13(Suppl 1):5–10
Candes EJ, Donoho D (1999) Curvelets – a surprisingly effective nonadaptive representation for objects with edges. In: Schumaker LL et al (eds) Curves and surfaces. Vanderbilt University Press, Nashville, TN
Candes EJ, Demanet L, Donoho D, Ying L (2005) Fast discrete curvelet transforms. Multiscale Model Simul 5:861–899
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2010 Springer-Verlag/Wien
About this paper
Cite this paper
Przelaskowski, A., Walecki, J., Sklinda, K., Ostrek, G. (2010). Improving Diagnostic Value of CT Examinations in Hyperacute Ischemic Stroke. In: Czernicki, Z., Baethmann, A., Ito, U., Katayama, Y., Kuroiwa, T., Mendelow, D. (eds) Brain Edema XIV. Acta Neurochirurgica Supplementum, vol 106. Springer, Vienna. https://doi.org/10.1007/978-3-211-98811-4_30
Download citation
DOI: https://doi.org/10.1007/978-3-211-98811-4_30
Published:
Publisher Name: Springer, Vienna
Print ISBN: 978-3-211-98758-2
Online ISBN: 978-3-211-98811-4
eBook Packages: MedicineMedicine (R0)