Bolus Harmonic Imaging zur automatischen Erkennung ischämiebedingter Perfusionsdefizite im Gehirn

Abstract

The presented methods seem to be adequate for detecting ischemic brain tissue. The classification of contrast agent kinetics provides the best results and has further advantages. It is robust with respect to noise and the calculation is fast because the extraction of parametric images is omitted. The very high sensitivity and specificity must be validated in a larger patient population. Reliable and automated detection of perfusion defects at the bedside seems to be possible.

Ultrasound Perfusion Imaging of the Brain-Routine and Novel Applications: Uncommon Cases and Review of the Literature

“…Dynamic alterations of perfusion impairments in the subacute course of stroke have been described 5 . First efforts toward automatic evaluation have been published 6 . Differentiation of hemorrhagic stroke and transformation of ischemic stroke has been reported 7 .…”

“…5 First efforts toward automatic evaluation have been published. 6 Differentiation of hemorrhagic stroke and transformation of ischemic stroke has been reported. 7 Differentiation of cerebral tumors is a matter of actual research.…”

Diagnostic and Prognostic Value of Contrast-Enhanced Ultrasound in Acute Stroke

“…In acute anterior circulation ischemic stroke, the use of perfusion harmonic imaging after SonoVue bolus injection yielded a high sensitivity for intensity-based parameters and a factor analysis of medical image sequences (FAMIS) algorithm and a high specificity and a high positive predictive value for time-to-peak concerning the ability to predict the development of an infarction. To overcome the disadvantage of time-consuming manual image examination, Maciak et al evaluated three different methods to analyze BHI image sequences automatically for the detection of ischemic brain tissue [29]. First a system relying on expert knowledge was used to determine perfusion deficits based on parametric images.…”