A comparison based approach for brain tissue detection under cerebrovascular accident (ischemic) using CBV and MTT perfusion map

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.