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[An improved medical image fusion algorithm and quality evaluation].
Sheng Wu Yi Xue Gong Cheng Xue Za Zhi. 2009 Aug; 26(4):711-5.SW

Abstract

Medical image fusion is of very important value for application in medical image analysis and diagnosis. In this paper, the conventional method of wavelet fusion is improved,so a new algorithm of medical image fusion is presented and the high frequency and low frequency coefficients are studied respectively. When high frequency coefficients are chosen, the regional edge intensities of each sub-image are calculated to realize adaptive fusion. The choice of low frequency coefficient is based on the edges of images, so that the fused image preserves all useful information and appears more distinctly. We apply the conventional and the improved fusion algorithms based on wavelet transform to fuse two images of human body and also evaluate the fusion results through a quality evaluation method. Experimental results show that this algorithm can effectively retain the details of information on original images and enhance their edge and texture features. This new algorithm is better than the conventional fusion algorithm based on wavelet transform.

Authors+Show Affiliations

Chen M
Department of Biomedical Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China.
Tao L
No affiliation info available
Qian Z
No affiliation info available

MeSH

AlgorithmsArtificial IntelligenceDiagnostic ImagingHumansImage EnhancementImage Interpretation, Computer-AssistedImage Processing, Computer-AssistedMagnetic Resonance ImagingPattern Recognition, AutomatedPositron-Emission TomographyTomography, X-Ray Computed

Pub Type(s)

English Abstract
Journal Article
Research Support, Non-U.S. Gov't

Language

chi

PubMed ID

19813594

Citation

Chen, Meiling, et al. "[An Improved Medical Image Fusion Algorithm and Quality Evaluation]." Sheng Wu Yi Xue Gong Cheng Xue Za Zhi = Journal of Biomedical Engineering = Shengwu Yixue Gongchengxue Zazhi, vol. 26, no. 4, 2009, pp. 711-5.
Chen M, Tao L, Qian Z. [An improved medical image fusion algorithm and quality evaluation]. Sheng Wu Yi Xue Gong Cheng Xue Za Zhi. 2009;26(4):711-5.
Chen, M., Tao, L., & Qian, Z. (2009). [An improved medical image fusion algorithm and quality evaluation]. Sheng Wu Yi Xue Gong Cheng Xue Za Zhi = Journal of Biomedical Engineering = Shengwu Yixue Gongchengxue Zazhi, 26(4), 711-5.
Chen M, Tao L, Qian Z. [An Improved Medical Image Fusion Algorithm and Quality Evaluation]. Sheng Wu Yi Xue Gong Cheng Xue Za Zhi. 2009;26(4):711-5. PubMed PMID: 19813594.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - [An improved medical image fusion algorithm and quality evaluation]. AU - Chen,Meiling, AU - Tao,Ling, AU - Qian,Zhiyu, PY - 2009/10/10/entrez PY - 2009/10/10/pubmed PY - 2011/12/13/medline SP - 711 EP - 5 JF - Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi JO - Sheng Wu Yi Xue Gong Cheng Xue Za Zhi VL - 26 IS - 4 N2 - Medical image fusion is of very important value for application in medical image analysis and diagnosis. In this paper, the conventional method of wavelet fusion is improved,so a new algorithm of medical image fusion is presented and the high frequency and low frequency coefficients are studied respectively. When high frequency coefficients are chosen, the regional edge intensities of each sub-image are calculated to realize adaptive fusion. The choice of low frequency coefficient is based on the edges of images, so that the fused image preserves all useful information and appears more distinctly. We apply the conventional and the improved fusion algorithms based on wavelet transform to fuse two images of human body and also evaluate the fusion results through a quality evaluation method. Experimental results show that this algorithm can effectively retain the details of information on original images and enhance their edge and texture features. This new algorithm is better than the conventional fusion algorithm based on wavelet transform. SN - 1001-5515 UR - https://www.unboundmedicine.com/medline/citation/19813594/[An_improved_medical_image_fusion_algorithm_and_quality_evaluation]_ L2 - https://medlineplus.gov/diagnosticimaging.html DB - PRIME DP - Unbound Medicine ER -