Vol. 3
Latest Volume
All Volumes
PIERC 142 [2024] PIERC 141 [2024] PIERC 140 [2024] PIERC 139 [2024] PIERC 138 [2023] PIERC 137 [2023] PIERC 136 [2023] PIERC 135 [2023] PIERC 134 [2023] PIERC 133 [2023] PIERC 132 [2023] PIERC 131 [2023] PIERC 130 [2023] PIERC 129 [2023] PIERC 128 [2023] PIERC 127 [2022] PIERC 126 [2022] PIERC 125 [2022] PIERC 124 [2022] PIERC 123 [2022] PIERC 122 [2022] PIERC 121 [2022] PIERC 120 [2022] PIERC 119 [2022] PIERC 118 [2022] PIERC 117 [2021] PIERC 116 [2021] PIERC 115 [2021] PIERC 114 [2021] PIERC 113 [2021] PIERC 112 [2021] PIERC 111 [2021] PIERC 110 [2021] PIERC 109 [2021] PIERC 108 [2021] PIERC 107 [2021] PIERC 106 [2020] PIERC 105 [2020] PIERC 104 [2020] PIERC 103 [2020] PIERC 102 [2020] PIERC 101 [2020] PIERC 100 [2020] PIERC 99 [2020] PIERC 98 [2020] PIERC 97 [2019] PIERC 96 [2019] PIERC 95 [2019] PIERC 94 [2019] PIERC 93 [2019] PIERC 92 [2019] PIERC 91 [2019] PIERC 90 [2019] PIERC 89 [2019] PIERC 88 [2018] PIERC 87 [2018] PIERC 86 [2018] PIERC 85 [2018] PIERC 84 [2018] PIERC 83 [2018] PIERC 82 [2018] PIERC 81 [2018] PIERC 80 [2018] PIERC 79 [2017] PIERC 78 [2017] PIERC 77 [2017] PIERC 76 [2017] PIERC 75 [2017] PIERC 74 [2017] PIERC 73 [2017] PIERC 72 [2017] PIERC 71 [2017] PIERC 70 [2016] PIERC 69 [2016] PIERC 68 [2016] PIERC 67 [2016] PIERC 66 [2016] PIERC 65 [2016] PIERC 64 [2016] PIERC 63 [2016] PIERC 62 [2016] PIERC 61 [2016] PIERC 60 [2015] PIERC 59 [2015] PIERC 58 [2015] PIERC 57 [2015] PIERC 56 [2015] PIERC 55 [2014] PIERC 54 [2014] PIERC 53 [2014] PIERC 52 [2014] PIERC 51 [2014] PIERC 50 [2014] PIERC 49 [2014] PIERC 48 [2014] PIERC 47 [2014] PIERC 46 [2014] PIERC 45 [2013] PIERC 44 [2013] PIERC 43 [2013] PIERC 42 [2013] PIERC 41 [2013] PIERC 40 [2013] PIERC 39 [2013] PIERC 38 [2013] PIERC 37 [2013] PIERC 36 [2013] PIERC 35 [2013] PIERC 34 [2013] PIERC 33 [2012] PIERC 32 [2012] PIERC 31 [2012] PIERC 30 [2012] PIERC 29 [2012] PIERC 28 [2012] PIERC 27 [2012] PIERC 26 [2012] PIERC 25 [2012] PIERC 24 [2011] PIERC 23 [2011] PIERC 22 [2011] PIERC 21 [2011] PIERC 20 [2011] PIERC 19 [2011] PIERC 18 [2011] PIERC 17 [2010] PIERC 16 [2010] PIERC 15 [2010] PIERC 14 [2010] PIERC 13 [2010] PIERC 12 [2010] PIERC 11 [2009] PIERC 10 [2009] PIERC 9 [2009] PIERC 8 [2009] PIERC 7 [2009] PIERC 6 [2009] PIERC 5 [2008] PIERC 4 [2008] PIERC 3 [2008] PIERC 2 [2008] PIERC 1 [2008]
2008-05-30
Curvelet Fusion of Mr and Ct Images
By
Progress In Electromagnetics Research C, Vol. 3, 215-224, 2008
Abstract
This paper presents a curvelet based approach for the fusion of magnetic resonance (MR) and computed tomography (CT) images. The objective of the fusion of an MR image and a CT image of the same organ is to obtain a single image containing as much information as possible about that organ for diagnosis. Some attempts have been proposed for the fusion of MR and CT images using the wavelet transform. Since medical images have several objects and curved shapes, it is expected that the curvelet transform would be better in their fusion. The simulation results show the superiority of the curvelet transform to the wavelet transform in the fusion of MR and CT images from both the visual quality and the peak signal to noise ratio (PSNR) points of view.
Citation
F. Ali, I. El-Dokany, A. Saad, and Fathi Abd El-Samie, "Curvelet Fusion of Mr and Ct Images," Progress In Electromagnetics Research C, Vol. 3, 215-224, 2008.
doi:10.2528/PIERC08041305
References

1. Choi, M., R. Y. Kim, and M. G. Kim, "The curvelet transform for image fusion," International Society for Photogrammetry and Remote Sensing, ISPRS 2004, Vol. 35, Part B8, 59-64, Istanbul, 2004.

2. Choi, M., R. Y. Kim, M. R. Nam, and H. O. Kim, "Fusion of multispectral and panchromatic satellite images using the curvelet transform ," IEEE Geosci. Remote Sensing Lett., Vol. 2, No. 2, 136-140, Apr. 2005.
doi:10.1109/LGRS.2005.845313

3. Niunez, J., X. Otazu, O. Fors, A. Prades, V. Pala, and R. Arbiol, "Multiresolution-based image fusion with additive wavelet decomposition," IEEE Trans. Geosci. Remote Sensing, Vol. 37, No. 3, 1204-1211, May 1999.
doi:10.1109/36.763274

4. Udomhunsakul, S. and P. Wongsita, "Feature extraction in medical MRI images," Proceeding of 2004 IEEE Conference on Cybernetics and Intelligent Systems, Vol. 1, 340-344, Dec. 2004.

5. Wang, A., H. J. Sun, and Y. Y. Guan, "The application of wavelet transform to multi-modality medical image fusion," Proceedings of the 2006 IEEE International Conference on Networking, Sensing and Control, (ICNSC), 270-274, 2006.
doi:10.1109/ICNSC.2006.1673156

6. Garzelli, A., F. Nencini, L. Alparone, and S. Baronti, "Multiresolution fusion of multispectral and panchromatic images through the curvelet transform," Proceedings of IEEE International Geoscience and Remote Sensing Symposium, (IGARSS), Vol. 4, 2838-2841, 2005.

7. Shen, Y., J. C. Ma, and L. Y. Ma, "An adaptive pixelweighted image fusion algorithm based on local priority for CT and MRI images," Proceedings of the IEEE Instrumentation and Measurement Technology Conference, (IMTC), 420-422, 2006.
doi:10.1109/IMTC.2006.328508

8. Saevarsson, B. B., J. R. Sveinsson, and J. A. Benediktsson, "Combined wavelet and curvelet denoising of SAR images," Proceedings of IEEE International Geoscience and Remote Sensing Symposium, (IGARSS), Vol. 6, 4235-4238, 2004.

9. Saevarsson, B. B., J. R. Sveinsson, and J. A. Benediktsson, "Translation invariant combined denoising algorithm," IEEE International Symposium on Circuits and Systems, (ISCAS 2005), Vol. 5, 4241-4244, 2005.
doi:10.1109/ISCAS.2005.1465567

10. Saevarsson, B. B., J. R. Sveinsson, and J. A. Benediktsson, "Time invariant curvelet denoising ," Proceeding of the Nordic Signal Processing Symposium, (NORSIG 2004), 117-120, 2004.

11. Abd-El-samie, F. E., "Superresolution reconstruction of image,", Ph.D. thesis, University of Menoufia, Egypt, 2005.

12. Yamamura, Y., K. Hyoungseop, and Y. Akiyoshi, "A method for image registration by maximization of mutual information," SICE-ICASE International Joint Conference, 1469-1472, 2006.
doi:10.1109/SICE.2006.315301

13. CALI IR, C., C. Korkmaz, and T. Kaya, "Comparison of MRI and CT in the diagnosis of early sacroiliitis," The Medical Journal of Kocatepe, 49-56, 2006.

14. Munir, S., "MRI scanner," Proceedings of the First Regional Conference IEEE of the Biomedical Engineering Society of India, 3/69-3/70, Feb. 1995.
doi:10.1109/RCEMBS.1995.532981

15. Gilbert, B., "The multimodality imaging challenge in radiotherapy (RT),", Radiotherapy Department of Pitie-Salpetriere Hospital Paris, France.

16. Tomazevic, D., B. Likar, T. Slivnik, and F. Pernus, "3-D/2-D registration of CT and MR to X-ray images," IEEE Transactions on Medical Imaging, Vol. 22, 1407-1416, 2003.
doi:10.1109/TMI.2003.819277

17. Li, S., J. T.-Y. Kwok, I. W.-H. Tsang, and Y. Wang, "Fusing images with different focuses using support vector machines," IEEE Trans. Neural Networks, Vol. 15, No. 6, 1555-1561, Nov. 2004.
doi:10.1109/TNN.2004.837780