In medical field, different image modalities like PET, CT, MRI etc are used for fusion. The fused image is less random, less redundant and has more detailed information. In this paper, we proposed a method to combine MRI and PET images using a fusion method involving shearlet transform and discrete cosine transform. Firstly, source images are decomposed using shearlet transform, then the obtained low pass and high pass sub-bands are processed and fused. The resultant image is constructed from fused coefficients by using Inverse shearlet transform. Edge indexing (QAB/F) and mutual information (MI) are used for evaluating performance of the proposed method, STDCT and the results are compared with STSVD. © 2017 IEEE.
cited By 0; Conference of 7th International Conference on Computer Communication and Informatics, ICCCI 2017 ; Conference Date: 5 January 2017 Through 7 January 2017; Conference Code:132680
C. K. Chaitanya, Reddy, G. S., Bhavana, V., and Varma, G. S. C., “PET and MRI medical image fusion using STDCT and STSVD”, in 2017 International Conference on Computer Communication and Informatics, ICCCI 2017, 2017.