Applications of deformable models for in-dopth analysis and feature extraction from medical images--A review

  • Authors:
  • A. Srinivasan;S. Sundaram

  • Affiliations:
  • Department of Computer Science and Engineering M.N.M. Jain College of Engineering, Chennai, Tamilnadu, India;Department of Computer Science and Engineering Shree Motilal Kanhaiyalal Fomra Institute of Technology, Chennai, Tamilnadu, India

  • Venue:
  • Pattern Recognition and Image Analysis
  • Year:
  • 2013

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Abstract

Medical imaging plays important role for the practice of medicine globally and is rapidly increasing and getting sophisticated day by day. But accurate, fully automatic medical image analysis continues to be an elusive ideal for quantitative exploitation for diagnosis and therapy. The spatial relations between these anatomical structures as well as the biological shape variations are observed over a representative population of individuals. Deformable models (DMs) are being used in digital image analysis to maintain essential characteristics of image shape and intensity while accommodating fluctuations. Among model-based techniques, DMs offer a unique and powerful approach to image analysis that combines geometry, physics, and approximation theory. DMs are highly insightful interactive methods that allow medical scientists and practitioners to bring their expertise to bear on the model-based image interpretation task whenever necessary. The paper reviews the application of deformable models as a capable and robustly applied digital medical image analysis technique of the human body.