Medical Image Registration : A Matlab Based Approach

Authors

  • D. Muthukumaran  Assistant Professor, ECE Department, SCSVMV University, Kanchipuram, Tamil Nadu, India
  • M. Sivakumar  Research Scholar, ECE Department, SCSVMV University, Kanchipuram, Tamil Nadu, India

Keywords:

3-D Geometric Transformation, Initial Registration, Intensity-based registration, Retrospective Image Registration Evaluation(RIRE).

Abstract

This paper shows the image registering with multi model 3-D medical images by the use of the Matlab inbuilt functions like imregister, imregtform and imwarp to automatically align two volumetric datasets: a CT image and a T1 weighted MR image collected from the same patient at different times. Unlike some other techniques, imregister and imregtform do not find features or use control points. Intensity-based registration is often well-suited for medical and remotely sensed imagery. Also, use imregister to automatically align two magnetic resonance images (MRI) to a common coordinate system using intensity-based image registration. Unlike some other techniques, it does not find features or use control points. Intensity-based registration is often well-suited for medical and remotely sensed imagery.

References

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Published

2017-02-28

Issue

Section

Research Articles

How to Cite

[1]
D. Muthukumaran, M. Sivakumar, " Medical Image Registration : A Matlab Based Approach , IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 2, Issue 1, pp.29-34, January-February-2017.