Biomedical Image Registration Using Genetic Algorithm

  • Suraj Panda
  • Shubhendu Kumar Sarangi
  • Archana Sarangi
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 309)


This paper focuses on the state-of-the-art technology which is useful for medical diagnosis and proper treatment planning. Using this scheme, different data formats such as MRI (magnetic resonance image), CT (computed tomography), PET (positron emission tomography), and SPECT (specialized positron emission tomography) of the same patient can be registered. These medical images provide complementary information which is conflicting occasionally due to nonalignment problem. However, the registered image provides more information for medical personals. In the registration process, images are aligned with each other and the size of the object is made equal. So in this process, the nonaligned image is transformed with respect to the reference image. Here, we have registered the biomedical images by maximizing the mutual information. Genetic algorithm (GA) is used to optimize rotation, scaling and translation parameters. Results presented reveal the suitability of the proposed method for biomedical image registration.


Biomedical image registration Mutual information Genetic algorithm 


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Copyright information

© Springer India 2015

Authors and Affiliations

  • Suraj Panda
    • 1
  • Shubhendu Kumar Sarangi
    • 1
  • Archana Sarangi
    • 2
  1. 1.Department of Electronics and Instrumentation Engineering, ITERSOA UniversityBhubaneswarIndia
  2. 2.Department of Electronics and Communication Engineering, ITERSOA UniversityBhubaneswarIndia

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