title: [A preliminary research on multi-source medical image fusion].
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.affiliation: College of Automation Science and Engineering, South China University of Technology, Guangzhou 510640, China. kangbian110@gmail.com
authors.forename: Yuanyuan
authors.initials: Y
authors.lastname: Kang
authors.forename: Bin
authors.initials: B
authors.lastname: Li
authors.forename: Lianfang
authors.initials: L
authors.lastname: Tian
authors.forename: Zongyuan
authors.initials: Z
authors.lastname: Mao
mesh_terms: D000465:Algorithms; D001185:Artificial Intelligence; D003952:Diagnostic Imaging / Q000379:methods*; D006801:Humans; D007089:Image Enhancement / Q000379:methods; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D007091:Image Processing, Computer-Assisted / Q000379:methods*; D010363:Pattern Recognition, Automated / Q000379:methods; D049268:Positron-Emission Tomography / Q000379:methods; D014057:Tomography, X-Ray Computed / Q000379:methods