A Review on Stroke Lesion Analysis in MRI Datasets

Abstract

Stroke is one of the major causes of disability in the world. The various disabilities due to stroke includes intellectual functioning damage locomotory dysfunction, visual and hearing impairment, disfigurement etc., This occurs due to occlusion or inhibition of blood supply to the brain which is known as Ischemic stroke, whereas rupturing of blood vessels to the brain causes hemorrhagic stroke. Imaging techniques such as CT and MRI have played a huge role in the visualization of stroke lesions. Segmentation of the salvageable tissue and its outcome of how it affects a person’s lifestyle is the key focus of research as automated model is highly recommended to reduce the time and increase the accuracy in the prediction of stroke lesion in comparison to manual intervention.