Feature Based Matching of CT & MRI Brain Images

Authors

  • Ayush dogra

Abstract

Multimodal image matching calls or demands for feature based or object based matching. Feature used in matching can be edges ,ridges, blobs, valleys etc. Feature based matching is considered as less tedious and low level image processing task whereas object based matching is consider as high level image processing task and complex.

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How to Cite

Feature Based Matching of CT & MRI Brain Images. (2014). Global Journal of Medical Research, 13(A2), 1-3. https://medicalresearchjournal.org/index.php/GJMR/article/view/102854

References

P Van Den Elsen, E Pol, T Sumanaweera, P Hemler, S Napel, J Adler (1994) Grey value correlation techniques used for automatic matching of CT and MR brain and spine images.

P Van Den Elsen (1993) Multimodality matching of brain images.

Petra Van Den Elsen, J Maintz, Evert-Jan D. Pol, Max Viergever (1992) Image fusion using geometrical features. 1808, 172-186.

J Maintz, P Van Den Elsen, M Viergever (1996) Evaluation of ridge seeking operators for multimodality medical image matching. 18(4), 353-365.

P Van Den Elsen, J Maintz, E-J Pol, M Viergever (1995) Automatic registration of CT and MR brain images using correlation of geometrical features. 14(2), 384-396.

P Van Den Elsen, J Maintz, E Pol, M Viergever (1995) Automatic registration of CT and MR brain images using correlation of geometrical features. 14(2), 384-398.

Published

2014-02-09

How to Cite

Feature Based Matching of CT & MRI Brain Images. (2014). Global Journal of Medical Research, 13(A2), 1-3. https://medicalresearchjournal.org/index.php/GJMR/article/view/102854