DocumentCode :
618416
Title :
A comparison based approach for brain tissue detection under cerebrovascular accident (ischemic) using CBV and MTT perfusion map
Author :
Raza, Md Tabish ; Merchant, S.N.
Author_Institution :
Dept. of Electron. & Commun. Eng., Tezpur Univ., Tezpur, India
fYear :
2013
fDate :
11-12 April 2013
Firstpage :
923
Lastpage :
927
Abstract :
In modern medicine brain perfusion imaging is relatively new technique and is very useful in early diagnosis of acute ischemic cerebrovascular accident/stroke. It performs quantitatively and qualitatively to illustrate evaluation of cerebral perfusion by generating three maps of cerebral blood volume (CBV), cerebral blood flow (CBF) and mean transit time (MTT). In this paper we present a comparison based algorithm to delineate ischemic stroke area on processing of computed tomography perfusion (CTP) image data and classification of brain tissue as normal tissue, dead tissue, dying tissue and undefined condition using CBV and MTT maps. Experiment has been carried out on perfusion image data and our approach results agree well with expert neurologist manual delineation and produce satisfactory result.
Keywords :
biological tissues; blood; blood vessels; brain; computerised tomography; diagnostic radiography; diseases; haemodynamics; haemorheology; image classification; medical image processing; neurophysiology; CBV perfusion map; MTT perfusion map; brain perfusion imaging; brain tissue; brain tissue detection; cerebral blood flow; cerebral blood volume; cerebrovascular accident; computed tomography perfusion; image classification; image data; ischemia; mean transit time; perfusion image data; Blood; Blood flow; Brain; Computed tomography; Equations; Mathematical model; Brain Tissue; CBF; CBV; Ischemic stroke; MTT; Perfusion imaging;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information & Communication Technologies (ICT), 2013 IEEE Conference on
Conference_Location :
JeJu Island
Print_ISBN :
978-1-4673-5759-3
Type :
conf
DOI :
10.1109/CICT.2013.6558227
Filename :
6558227
Link To Document :
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