Title :
A fusion algorithm of PET-CT based on dual-tree complex wavelet transform and self-adaption Gaussian membership function
Author :
Xingyu Wei ; Tao Zhou ; Huiling Lu
Author_Institution :
Sch. of Manage., Ningxia Med. Univ., Yinchuan, China
Abstract :
This article proposed a new fusion algorithm of PET/CT based on dual-tree complex wavelet transform and self-adaption Gaussian membership function. Firstly, preprocessed and registered PET and CT image of non-small cell lung cancer. Secondly, used dual-tree complex wavelet transform to decompose PET and CT image in order to get the low-frequency and high-frequency components. Thirdly, using self-adaption Gaussian membership function to fuse low-frequency components. Finally, using two experiments to verify validity and feasibility of the proposed algorithm. The experiments results shown that the algorithm is efficiency.
Keywords :
Gaussian processes; cancer; cellular biophysics; image fusion; image registration; lung; medical image processing; positron emission tomography; PET-CT; dual-tree complex wavelet transform; fusion algorithm; high-frequency components; image preprocessing; image registration; low-frequency components; nonsmall cell lung cancer; self-adaption Gaussian membership function; Biomedical imaging; Computed tomography; Educational institutions; Mutual information; Positron emission tomography; Wavelet transforms; Dual-tree Complex Wavelet; Gaussian Membership Function; Image Fusion; PET/CT;
Conference_Titel :
Orange Technologies (ICOT), 2014 IEEE International Conference on
Conference_Location :
Xian
DOI :
10.1109/ICOT.2014.6956638
