title: Recovery of CT stroke hypodensity--An adaptive variational approach.
abstract: The present research was directed to effective image restoration with the extraction of ischemic edema signs. Computerized support of hyperacute stroke diagnosis based on routinely used computerized tomography (CT) scans was optimized to visualize the infarct extent more precisely. In particular, a beneficial support of time-limited appropriate decision of whether to treat the patient by thrombolysis is expected. Because of a limited accuracy in determining the area of core infarction, particularly in the early hours of symptoms' onset, a variational approach to sensed data recovery was applied. Proposed methodology adjusts fidelity norms and regularization priors integrated with simulated sensing procedures in a compressed sensing framework. Experimental study confirmed almost perfect recognition of ischemic stroke in a test set of over 500 CT scans.
authors.affiliation: Faculty of Mathematics and Information Science, Warsaw University of Technology, Koszykowa 75, 00-662 Warszawa, Poland. Electronic address: arturp@mini.pw.edu.pl.
authors.forename: Artur
authors.initials: A
authors.lastname: Przelaskowski
mesh_terms: D000465:Algorithms; D002544:Cerebral Infarction / Q000000981:diagnostic imaging*; D006801:Humans; D059906:Neuroimaging / Q000379:methods*; D010363:Pattern Recognition, Automated / Q000379:methods*; D011856:Radiographic Image Enhancement / Q000379:methods*; D011857:Radiographic Image Interpretation, Computer-Assisted / Q000379:methods*; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D014057:Tomography, X-Ray Computed / Q000379:methods*
keywords: Compressed sensing; Computerized support of hyperacute stroke diagnosis; Content-oriented image restoration; Extraction of hypodense regions; Ischemic sign recognition; Variational image processing