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JSIR Vol.71 [2012] >
JSIR Vol.71(10) [October 2012] >
| Title: | Fusion of PET and MRI images using adaptive neuro-fuzzy inference system |
| Authors: | Kavitha, C.T.
Chellamuthu, C. |
| Keywords: | Medical image fusion
Adaptive neuro-fuzzy inference system
Second generation wavelet transform
PET
MRI |
| Issue Date: | Oct-2012 |
| Publisher: | NISCAIR-CSIR, India |
| Abstract: | Fusion of the PET and MRI images provides complete
information, better visualization and higher diagnostic accuracy. This paper
proposes the fusion of PET and MRI images using adaptive neuro-fuzzy inference
system. The PET and MRI images areinitially decomposed using the second
generation wavelets. The second generation wavelet transform is shift
invariant. The second generation wavelet coefficients are then fused using the
adaptive neuro-fuzzy inference system. Then the inverse transform is applied to
the fused coefficients and the fused image is obtained. The performance of this
algorithm is validated both qualitatively and quantitatively. The metrics used
for the analysis are entropy, average gradient, average, standard deviation,
mean square error and peak signal to noise ratio. It is also compared with the
existing methods of image fusion. The proposed algorithm extracts more
information from the source images, provides better
contrast and brightness as compared to the existing fusion techniques. |
| Page(s): | 651-656 |
| CC License: |  CC Attribution-Noncommercial-No Derivative Works 2.5 India |
| ISSN: | 0975-1084 (Online); 0022-4456 (Print) |
| Source: | JSIR Vol.71(10) [October 2012]
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