MRI and PET image fusion by combining IHS and retina-inspired models

Information Fusion

Volumn 11, Issue 2, 2010, Pages 114-123

  Daneshvar, Sabalan ^a   Ghassemian, Hassan ^a  

^a TARBIAT MODARES UNIVERSITY   (Iran)

Author keywords

IHS (intensity hue saturation); Image fusion; MRI (magnetic resonance imaging); PET (positron emission tomography); Retina inspired model (RIM)

Indexed keywords

AVERAGE GRADIENT; BRAIN FUNCTIONS; BRAIN TISSUE; FUNCTIONAL CHARACTERISTICS; FUNCTIONAL IMAGES; FUNCTIONAL INFORMATION; FUSION METHODS; FUSION PROCESS; FUSION QUALITY; FUSION TECHNIQUES; HIGH RESOLUTION; HIGH SPATIAL RESOLUTION; IHS (INTENSITY-HUE-SATURATION); INTENSITY HUE SATURATIONS; MRI (MAGNETIC RESONANCE IMAGING); MRI IMAGE; MUTUAL INFORMATIONS; PET (POSITRON EMISSION TOMOGRAPHY); PET IMAGES; SPATIAL CHARACTERISTICS; SPATIAL DISTORTION; SPATIAL FEATURES; SPATIAL INFORMATIONS; SPATIAL RESOLUTION; STATISTICAL ANALYSIS; TROUS WAVELET;

ALGORITHMS; DISCRETE WAVELET TRANSFORMS; IMAGE RESOLUTION; MAGNETIC RESONANCE; MAGNETIC RESONANCE IMAGING; MEDICAL APPLICATIONS; PLASTICS MOLDING MACHINES; POSITRON EMISSION TOMOGRAPHY; POSITRONS;

IMAGE FUSION;

EID: 74449088952     PISSN: 15662535     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.inffus.2009.05.003     Document Type: Article

References (27)

1. Grosu A.L., Weber W.A., and Franza M. Reirradiation of recurrent high-grade gliomas using amino acid PET (SPECT)/CT/MRI image fusion to determine gross tumor volume for stereotactic fractionated radiotherapy. International Journal of Radiation Oncology Biology Physics 63 2 (2005) 511-519
2. Jan M., Chuang K., and Chen G. A three-dimensional registration method for automated fusion of micro PET-CT-SPECT whole-body images. IEEE Transactions on Medical Imaging 24 7 (2005) 886-993
3. Polo A., Cattani F., and Vavassori A. MR and CT image fusion for postimplant analysis in permanent prostate seed implants. International Journal of Radiation Oncology Biology Physics 60 5 (2004) 1572-1579
4. Calvini P., Massone A.M., Nobili F.M., and Rodriguez G. Fusion of the MR image to SPECT with possible correction for partial volume effects. IEEE Transactions on Nuclear Science 53 1 (2006) 189-197
5. Rajasekar D., Datta N.R., and Gupta R.K. Multimodality image fusion in dose escalation studies of brain tumors. Journal of Applied Clinical Medical Physics 4 1 (2003) 8-16
6. Goshtasby A., and Nikolov S. Image fusion: advances in the state of the art. Information Fusion 8 2 (2007) 114-118
7. Tu T.M., Su S.C., Shyu H.C., and Huang P.S. A new look at IHS-like image fusion methods. Information Fusion 2 3 (2001) 177-186
8. González-Audícana M., Saleta J.L., Catalán R.G., and García R. Fusion of multispectral and panchromatic images using improved IHS and PCA mergers based on wavelet decomposition. IEEE Transaction on Geoscience and Remote Sensing 42 6 (2004) 1291-1299
9. Pohl C., and Van Genderen J.L. Multisensor image fusion in remote sensing: concepts methods and applications. International Journal of Remote Sensing 19 5 (1998) 823-854
10. H. Ghassemian, A retina based multi-resolution image fusion, in: Proceedings of IEEE International Geoscience and Remote Sensing Symposium, IGRSS2001, July 2001.
11. Shi W., Zhu Ch., Zhu C., and Yang X. Multi-band wavelet for fusing SPOT panchromatic and multispectral images. International Journal of Photogrammetric Engineering and Remote Sensing 69 5 (2003) 513-520
12. A. Wang, S. Haijing, G. Yueyang, The application of wavelet transform to multi-modality medical image fusion, in: Proceedings of IEEE International Conference on Networking, Sensing and Control, April 2006, pp. 270-274.
13. H. Zhang, L. Liu, N. Lin, A novel wavelet medical image fusion method, in: International Conference on Multimedia and Ubiquitous Engineering, April 2007, pp. 548-553.
14. H. Ghassemian, Multisensor image fusion by multiscale filter banks, in: Proceeding of IEEE International Conference on Image Processing ICIP2001, October 2001.
15. Zheng Y., Essock E.A., Hansen B.C., and Haun A.M. A new metric based on extended spatial frequency and its application to DWT based fusion algorithms. Information Fusion 8 2 (2007) 177-192
16. Zhang Y., and Hong G. An IHS and wavelet integrated approach to improve pan-sharpening visual quality of natural colour IKONOS and QuickBird images. International Journal of Information Fusion 6 3 (2005) 225-234
17. Tu T.M., Cheng W.C., Chang C.P., Huang P.S., and Chang J.C. Best tradeoff for high-resolution image fusion to preserve spatial details and minimize color distortion. IEEE Geoscience and Remote Sensing Letters 4 2 (2007) 302-306
18. Kolb H. The neural organization of the human retina. In: Heckenlively J.R., and Arden G.B. (Eds). Principles and Practices of Clinical Electrophysiology of Vision (1991), Mosby Year Book Inc., St. Louis 25-52
19. Kolb H. How the retina works. Journal of American Scientist 91 (2003) 23-35
20. Shah S., and Levine M.D. Visual information processing in primate cone pathways. I. A model. IEEE Transactions on Systems, Man and Cybernetics, Part B 26 2 (1996) 259-274
21. Morillas C.A., Romero S.F., Mart́i{dotless}nez A., Pelayo F.J., Ros E., and Ferńandez E. A design framework to model retinas. BioSystems 87 2-3 (2007) 156-163
22. Partzsch J., Mayr C., and Schuffny R. Building Gabor filters from retinal responses. Transactions on Engineering, Computing and Technology 19 (2007) 211-216
23. Wang Z., Ziou D., Armenakis C., Li D., and Li Q. A comparative analysis of image fusion methods. IEEE Transactions Geoscience and Remote Sensing 43 6 (2005) 1392-1402
24. Shi W., Zhu Ch., Tian Y., and Nichol J. Wavelet-based image fusion and quality assessment. International Journal of Applied Earth Observation and Geoinformation 6 (2005) 241-251
25. Li Z., Jing Zh., and Yang X. Color transfer based remote sensing image fusion using non-separable wavelet frame transform. Pattern Recognition Letters 26 (2005) 2006-2014
26. Piella G. A general framework for multiresolution image fusion: from pixels to regions. Information Fusion 4 4 (2003) 259-280
27. Y. Chen, R.S. Blum, Experimental tests of image fusion for night vision, in: International Conference on Information Fusion (7th), 2005, pp. 491-498.