Title :
Enhanced visualization of cerebral blood vessels for X-ray angiograms
Author :
Tache, Irina ; Stefanoiu, Dan ; Udrea, Andreea ; Lupu, Ciprian
Author_Institution :
Dept. of Autom. Control & Syst.´ Eng., Univ. Politeh. of Bucharest, Bucharest, Romania
Abstract :
Neurologists frequently use X-ray angiographic techniques in order to establish the optimal treatment or intervention procedure. Neurosurgeries performed at blood vessels level are difficult procedures because of the low accessibility in the human brain. Therefore, the establishment of a correct diagnosis based on angiographies is of paramount importance. Enhanced visualization of blood vessels by separating veins and arteries from background can help, in many cases, in giving a more accurate diagnosis. In this article, three methods for arteries and veins classification and enhanced visualization are presented. From our study, it results that, using coefficients of wavelet transform as parameters for the classification, a better visual representation of small vessels is achieved.
Keywords :
blood vessels; brain; diagnostic radiography; image classification; medical disorders; medical image processing; neurophysiology; surgery; wavelet transforms; X-ray angiographic techniques; arteries; cerebral blood vessels; enhanced visualization; human brain; intervention procedure; neurosurgery; patient treatment; veins; visual representation; wavelet transform coefficients; Angiography; Arteries; Time series analysis; Veins; Visualization; Wavelet transforms; angiograms; classification; wavelets;
Conference_Titel :
E-Health and Bioengineering Conference (EHB), 2013
Conference_Location :
Iasi
Print_ISBN :
978-1-4799-2372-4
DOI :
10.1109/EHB.2013.6707406