A Study on Detection and Segmentation of Ischemic Stroke in MRI and CT Images

摘要

An ischemic stroke occurs when a vessel providing blood to the cerebrum is impeded. It represents around 87 percent of all strokes. Quickly advancing imaging innovation is revolutionizing the administration of stroke patients, and the field of ischemic stroke treatment is experiencing transformation. Imaging of the cerebrum in stroke with CT and MR imaging modalities has turned into an invaluable tool for the conclusion of stroke. Nowadays the computerized approach of diagnosing the ischemic stroke is increasingly being used and giving satisfactory results. The computerized investigation of ischemic stroke includes several stages: pre-processing, segmentation, specific features extraction, comparison of brain tissue area and detection. The mechanized conclusion strategy for the stroke lesion will enable the radiologist to quicken the treatment so the mortality rate and the long-term disability for the reason that of cerebrum stroke can be decreased. This review focuses on the procedure of computer-aided investigation and the identification of ischemic stroke in MRI and CT images.