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A Systematic Review on Techniques Adapted for Segmentation and Classification of Ischemic Stroke Lesions from Brain MR Images

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Abstract

A life threatening medical condition occurs when arteries that supplies blood to the brain gets blocked resulting in Ischemic Stroke. Magnetic resonance imaging (MRI) plays major role in diagnosis of brain stroke at early stages. Manual detection of stroke lesions by medical experts is time-consuming, expensive, and susceptible to intra- and inter-observer variability. Accurate detection of stroke lesions from brain MRI, the challenging task requires development of automated computer aided diagnostic techniques. This paper aims at reviewing the state of art techniques currently available fulfilling the above objectives, their merits and limitation. Through this review we figure out the modifications that need to be carried out in future to develop best automated diagnostic tool which performs better and mitigates all the pitfalls in current literatures.

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(Courtesy Mayo Clinic)

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[courtesy from reference 22]

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[courtesy from reference 26]

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[courtesy from reference 33]

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Authors and Affiliations

  1. Department of Electronics and Communication Engineering, Mohamed Sathak Engineering College, Kilakarai, Ramanathapuram (Dt), 623806, India

    Senthil Kumar Thiyagarajan

  2. Department of Electronics and Communication Engineering, Kalasalingam Academy of Research and Education, Krishnan Koil, Virudhu Nagar (Dt), 626126, India

    Kalpana Murugan

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Thiyagarajan, S.K., Murugan, K. A Systematic Review on Techniques Adapted for Segmentation and Classification of Ischemic Stroke Lesions from Brain MR Images. Wireless Pers Commun 118, 1225–1244 (2021). https://doi.org/10.1007/s11277-021-08069-z

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