Self-Organized Three Dimensional Feature Extraction of MRI and CT

  • Satoru Morita
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7667)


We can observes a section of the body using MRI and CT . CT is suitable for the blood flow and the diagnosis of the wrong point of the bone by the computed tomograph, and MRI is suitable for the diagnosis of the cerebral brain infarction and the brain tumor. Because different nature is observed to so same the observation object, a, doctor, uses CT and an MRI image complementary, and sees a patient. The feature which appears in both images remarkably is extracted using the CT image and the MRI image by this paper. Various three-dimensional filters are generated using the ICA base in the self-histionic target from the characteristic image for that image, and how to extract a remarkable feature from the feature image which could get is proposed by this research. A remarkable feature is extracted from the CT image and the MRI image of the patient which actually has a tumor , and its effectiveness is shown.


MRI CT Self-Organized 3D Feature Extraction ICA 


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Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Satoru Morita
    • 1
  1. 1.Faculty of EngineeringYamaguchi UniversityUbeJapan

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