Wavelet-based Image Fusion for Enhancement of ROI in CT Image

Authors

  • Nguyen Thanh Hai HoChiMinh City University of Technical Education

DOI:

https://doi.org/10.14738/jbemi.14.310

Keywords:

CT image, Wavelet Transform, Image Enhancement, Fusion Image

Abstract

This paper proposes a novel method for enhancing Computed Tomography (CT) image. In this proposed method, the entropy-based histogram algorithm was applied to detach significant values in CT image to produce a detached image. In addition, wavelet transforms were employed for both the original CT image and the detached image to create image fusion. Therefore, an enhanced image with tumor region was obtained for diagnosis using an inverse wavelet transform. The result is that the processed region in the enhanced image shows more prominent points than that in the original image. This result can allow physicians or doctors diagnose and predict more accurately tumor regions in the enhanced CT image

Author Biography

Nguyen Thanh Hai, HoChiMinh City University of Technical Education

Currently he is a lecturer, PhD of HoChiMinh City Univesity of Technical Education, Vietnam. His major is elctronics engineering and his interests are smart wheelchair, bio-signal and-image processing and artificial intelligent

References

J. E. Mackewn, G. Charles-Edwards, and J.J. Totman, P. Halsted, E.J. Somer, S.F. Keevil, P.K. Marsden "A fiducial marker based technique for alignment of simultaneously acquired PET and MRI images," in Nuclear Science Symposium Conference Record 2009.

. E. A. Hoffman, J. M. Reinhardt, and M. Sonka, "Characterization of the interstitial lung diseases via density-based and texture-based analysis of computed tomography images of lung structure and function," Academic Radiology, vol. 10, pp. 1104–1118, 2003.

. L. J. Brattain, C. Floryan, O. P. Hauser, and M. Nguyen, "Simple and effective ultrasound needle guidance system," in The Annual International Conference of the IEEE on Engineering in Medicine and Biology Society, 2011.

. J. Huang, F. Jian, H. Wu, and H. Li, "An improved level set method for vertebra CT image segmentation," BioMedical Engineering OnLine, 2013.

. V.V Kishore and R.V.S. Satyanarayana, "Performance evaluation of edge detectors - morphology based ROI segmentation and nodule detection from DICOM lung images in the noisy environment," in The 2013 IEEE 3rd international conference on Advance Computing Conference, 2013.

. A. Kumar, J. Kim, L. Wen, D. Feng, "A Graph-based approach to the retrieval of volumetric PET-CT lung images," in The 2012 Annual International Conference of the IEEE on Engineering in Medicine and Biology Society (EMBC), 2012.

. HaozhengRen, YihuaLan, and Y. Zhang, "Research of multi-focus image fusion based on M-band multi-wavelet transformation," in The 2011 Fourth International Workshop on Advanced Computational Intelligence, 2011.

. V.C. Bibina, V. S., and S. Viswasom,"Adaptive wavelet thresholding and joint bilateral filtering for image denoising," in The 2012 Annual IEEE India Conference (INDICON), 2012.

. Y. Qiang, "Image denoisingbased on Haar wavelet transform," in The 2011 International Conference on Electronics and Optoelectronics (ICEOE), 2011.

. Zohair Al-Ameen, Ghazali Sulong, Md. Gapar Md. Johar, “Employing a Suitable Contrast Enhancement Technique as a pre-restoration adjustment phase for Computed Tomography Medical Image”, International Journal of Bio-Science and Bio-Technology, Vol. 5, No. 1, Feb, 2013.

. [1]. J. E. Mackewn, G. Charles-Edwards, and J.J. Totman, P. Halsted, E.J. Somer, S.F. Keevil, P.K. Marsden "A fiducial marker based technique for alignment of simultaneously acquired PET and MRI images," in Nuclear Science Symposium Conference Record 2009.

. E. A. Hoffman, J. M. Reinhardt, and M. Sonka, "Characterization of the interstitial lung diseases via density-based and texture-based analysis of computed tomography images of lung structure and function," Academic Radiology, vol. 10, pp. 1104–1118, 2003.

. L. J. Brattain, C. Floryan, O. P. Hauser, and M. Nguyen, "Simple and effective ultrasound needle guidance system," in The Annual International Conference of the IEEE on Engineering in Medicine and Biology Society, 2011.

. J. Huang, F. Jian, H. Wu, and H. Li, "An improved level set method for vertebra CT image segmentation," BioMedical Engineering OnLine, 2013.

. V.V Kishore and R.V.S. Satyanarayana, "Performance evaluation of edge detectors - morphology based ROI segmentation and nodule detection from DICOM lung images in the noisy environment," in The 2013 IEEE 3rd international conference on Advance Computing Conference, 2013.

. A. Kumar, J. Kim, L. Wen, D. Feng, "A Graph-based approach to the retrieval of volumetric PET-CT lung images," in The 2012 Annual International Conference of the IEEE on Engineering in Medicine and Biology Society (EMBC), 2012.

. HaozhengRen, YihuaLan, and Y. Zhang, "Research of multi-focus image fusion based on M-band multi-wavelet transformation," in The 2011 Fourth International Workshop on Advanced Computational Intelligence, 2011.

. V.C. Bibina, V. S., and S. Viswasom,"Adaptive wavelet thresholding and joint bilateral filtering for image denoising," in The 2012 Annual IEEE India Conference (INDICON), 2012.

. Y. Qiang, "Image denoisingbased on Haar wavelet transform," in The 2011 International Conference on Electronics and Optoelectronics (ICEOE), 2011.

. Zohair Al-Ameen, Ghazali Sulong, Md. Gapar Md. Johar, “Employing a Suitable Contrast Enhancement Technique as a pre-restoration adjustment phase for Computed Tomography Medical Image”, International Journal of Bio-Science and Bio-Technology, Vol. 5, No. 1, Feb, 2013.

. Xiuhua G., Xiangye L., Huan W., Zhigang L., Wei W., Qian H., Kuncheng L., Wei W., "Enhanced CT Image by the Wavelet Transform Improving Diagnostic Accuracy of Chest Nodules", Journal of Digital Imaging, Vol. 24, No. 1, 2011.

Downloads

Published

2014-08-27

How to Cite

Hai, N. T. (2014). Wavelet-based Image Fusion for Enhancement of ROI in CT Image. British Journal of Healthcare and Medical Research, 1(4), 1–13. https://doi.org/10.14738/jbemi.14.310