A Survey on MRI Brain Segmentation

Part of the Advances in Intelligent and Soft Computing book series (AINSC, volume 166)

Abstract

With the growing research on medical image segmentation, it is essential to categorize the research outcomes and provide readers with an overview of the existing segmentation techniques in medical images. In this paper, different image segmentation techniques applied on magnetic resonance brain images are reviewed. The selection of papers includes sources from image processing journals, conferences, books, dissertations and thesis. The conceptual details of the algorithms are explained and mathematical details are avoided for simplicity. Both broad and detailed categorizations of reviewed segmentation techniques are provided. The state of art research is provided with emphasis on developed algorithms and image properties used by them. The methods defined are not always mutually independent. Hence, their inter relationships are also stated. Finally, conclusions are drawn summarizing commonly used techniques and their complexities in application.

Keywords

MRI Segmentation Medical Imaging 

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Copyright information

© Springer-Verlag GmbH Berlin Heidelberg 2012

Authors and Affiliations

  1. 1.Adhiyamaan College of EngineeringHosurIndia
  2. 2.Sengunthar College of EngineeringTiruchengodeIndia

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