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[A preliminary research on multi-source medical image fusion].
Sheng Wu Yi Xue Gong Cheng Xue Za Zhi. 2009 Apr; 26(2):244-7, 252.SW

Abstract

Multi-modal medical image fusion has important value in clinical diagnosis and treatment. In this paper, the multi-resolution analysis of Daubechies 9/7 Biorthogonal Wavelet Transform is introduced for anatomical and functional image fusion, then a new fusion algorithm with the combination of local standard deviation and energy as texture measurement is presented. At last, a set of quantitative evaluation criteria is given. Experiments show that both anatomical and metabolism information can be obtained effectively, and both the edge and texture features can be reserved successfully. The presented algorithm is more effective than the traditional algorithms.

Authors+Show Affiliations

Kang Y
College of Automation Science and Engineering, South China University of Technology, Guangzhou 510640, China. kangbian110@gmail.com
Li B
No affiliation info available
Tian L
No affiliation info available
Mao Z
No affiliation info available

MeSH

AlgorithmsArtificial IntelligenceDiagnostic ImagingHumansImage EnhancementImage Interpretation, Computer-AssistedImage Processing, Computer-AssistedPattern 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

19499779

Citation

Kang, Yuanyuan, et al. "[A Preliminary Research On Multi-source Medical Image Fusion]." Sheng Wu Yi Xue Gong Cheng Xue Za Zhi = Journal of Biomedical Engineering = Shengwu Yixue Gongchengxue Zazhi, vol. 26, no. 2, 2009, pp. 244-7, 252.
Kang Y, Li B, Tian L, et al. [A preliminary research on multi-source medical image fusion]. Sheng Wu Yi Xue Gong Cheng Xue Za Zhi. 2009;26(2):244-7, 252.
Kang, Y., Li, B., Tian, L., & Mao, Z. (2009). [A preliminary research on multi-source medical image fusion]. Sheng Wu Yi Xue Gong Cheng Xue Za Zhi = Journal of Biomedical Engineering = Shengwu Yixue Gongchengxue Zazhi, 26(2), 244-7, 252.
Kang Y, et al. [A Preliminary Research On Multi-source Medical Image Fusion]. Sheng Wu Yi Xue Gong Cheng Xue Za Zhi. 2009;26(2):244-7, 252. PubMed PMID: 19499779.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - [A preliminary research on multi-source medical image fusion]. AU - Kang,Yuanyuan, AU - Li,Bin, AU - Tian,Lianfang, AU - Mao,Zongyuan, PY - 2009/6/9/entrez PY - 2009/6/9/pubmed PY - 2010/1/29/medline SP - 244-7, 252 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 - 2 N2 - Multi-modal medical image fusion has important value in clinical diagnosis and treatment. In this paper, the multi-resolution analysis of Daubechies 9/7 Biorthogonal Wavelet Transform is introduced for anatomical and functional image fusion, then a new fusion algorithm with the combination of local standard deviation and energy as texture measurement is presented. At last, a set of quantitative evaluation criteria is given. Experiments show that both anatomical and metabolism information can be obtained effectively, and both the edge and texture features can be reserved successfully. The presented algorithm is more effective than the traditional algorithms. SN - 1001-5515 UR - https://www.unboundmedicine.com/medline/citation/19499779/[A_preliminary_research_on_multi_source_medical_image_fusion]_ L2 - https://medlineplus.gov/diagnosticimaging.html DB - PRIME DP - Unbound Medicine ER -