A COMPARISON OF MRI AND PET IMAGES FUSION BASED ON YCBCR AND IHS COLOR SPACES

Year 2013, Volume: 3 Issue: 4, 683 - 692, 01.12.2013

Ehsan Jalili Sabalan Daneshvar

Abstract

Image fusion is a process in which two or more images from different sources or of various states are merged to create a single image in order to increase desired information of the images, decrease ambiguity, and eliminate repeated information. Fusion of high spatial resolution images such as MRI image with high spectral resolution images such as PET image is a case in point. A proper fusion technique adds spatial information to the final image without obliterating spectral information. Among all available techniques for image fusion, color space based fusion, which can generate appropriate results, is widely used. Analysis and comparison of YCbCr color space based fusion and IHS based fusion methods are provided in this paper. Visual and quantitative evaluations indicate that YCbCr technique compared to IHS method performs better in preserving spectral information. However, IHS method yields better image fusion with regard to spectral information preservation.

Keywords

Image fusion, IHS (Intensity, Hue, Saturation), YCbCr color space, MRI (Magnetic resonance imaging), PET (Positron emission tomography)

References

• A.L. Grosu, W.A. Weber, M. Franza, Reirradiation of recurrent high-grade gliomas (SPECT)/CT/MRI determine gross tumor volume for stereotactic International Oncology Biology Physics 63 (2),pp. 511– , 2005. acid fusion to fractionated Journal of Radiation
• M. Jan, K. Chuang, G. Chen, A three- dimensional registration automated fusion of micro PET-CT- SPECT Transactions on Medical Imaging 24 (7) ,886–993, 2005 method for whole-body images, IEEE
• A. Polo, F. Cattani, A. Vavassori, MR and CT image fusion for postimplant analysis in permanent prostate seed implants, International Oncology Biology Physics 60 (5), pp. –1579, 2004 of Radiation
• H. Ghassemian, A retina based multi- resolution image fusion, in: Proceedings of IEEE International Geoscience and Remote Sensing Symposium, IGRSS2001, July
• S. Daneshvar, H. Ghassemian, MRI and PET image fusion by combining IHS and retina-inspired models, Information Fusion , pp. 114-123,2010.
• Al-Wassai, Firouz Abdullah, N. V. Kalyankar, and Ali A. Al-Zuky. "The IHS Transformations Based Image Fusion." arXiv preprint arXiv, pp.1107.4396, 2011. Phung, Son Lam, Abdesselam
• Bouzerdoum, and Douglas Chai. "A novel skin color model in ycbcr color space and its application to human face detection." Image Processing. 2002. Proceedings.
• International Conference on. Vol. 1. IEEE, 2002.
• Yakhdani, Mohammad Fallah, and Ali Azizi. Quality assessment of image fusion techniques for multisensor high resolution satellite images (case study: IRS-P5 and IRS-P6 satellite images). na, 2010.