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

fYear

2014

fDate

20-23 Sept. 2014

Firstpage

216

Lastpage

219

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Orange Technologies (ICOT), 2014 IEEE International Conference on

Conference_Location

Xian

Type

conf

DOI

10.1109/ICOT.2014.6956638

Filename

6956638