TY - GEN
T1 - A new pansharp based method for PET/CT image fusion
AU - Mu, Wei
AU - Chen, Zhe
AU - Tian, Jie
AU - Zhu, Zhaohui
AU - Dong, Di
N1 - Publisher Copyright:
© 2014 IEEE.
PY - 2014/7/29
Y1 - 2014/7/29
N2 - PET/CT image fusion has emerged as a new and promising research area in recent years, whereas the current standard method for PET/CT fusion, Alpha-blending, often blurs fine anatomical structure. In this paper, a new fusion method based on the Pansharp model is presented. Our proposed method consists of first up-scaling the PET image to the resolution of the CT data by bilinear interpolation and registering them with mutual information, then integrating the anatomical information into the original PET image and transforming it to a multi-channel RGB image using a color table, and then simulating the panchromatic image with multiple regression analysis, and finally obtaining the fused image according to the Pansharp model. Our method is verified based on 45 real data sets and both qualitative and quantitative analyses of the fusion results demonstrate the effectiveness and robustness of the proposed method.
AB - PET/CT image fusion has emerged as a new and promising research area in recent years, whereas the current standard method for PET/CT fusion, Alpha-blending, often blurs fine anatomical structure. In this paper, a new fusion method based on the Pansharp model is presented. Our proposed method consists of first up-scaling the PET image to the resolution of the CT data by bilinear interpolation and registering them with mutual information, then integrating the anatomical information into the original PET image and transforming it to a multi-channel RGB image using a color table, and then simulating the panchromatic image with multiple regression analysis, and finally obtaining the fused image according to the Pansharp model. Our method is verified based on 45 real data sets and both qualitative and quantitative analyses of the fusion results demonstrate the effectiveness and robustness of the proposed method.
KW - Image fusion
KW - PET/CT
KW - Parsharp model
UR - https://www.scopus.com/pages/publications/84927943569
U2 - 10.1109/isbi.2014.6868076
DO - 10.1109/isbi.2014.6868076
M3 - 会议稿件
AN - SCOPUS:84927943569
T3 - 2014 IEEE 11th International Symposium on Biomedical Imaging, ISBI 2014
SP - 1140
EP - 1143
BT - 2014 IEEE 11th International Symposium on Biomedical Imaging, ISBI 2014
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 11th IEEE International Symposium on Biomedical Imaging, ISBI 2014
Y2 - 29 April 2014 through 2 May 2014
ER -