PET/CT medical image fusion algorithm based on multiwavelet transform

PET/CT medical image fusion has important clinical significance. As the multiwavelet transform has several particular advantages in comparison with scalar wavelets on image processing, this paper proposes a medical image fusion algorithm based on multiwavelet transform after in-depth study of wavele...

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Vydané v:2010 2nd International Conference on Advanced Computer Control Ročník 2; s. 264 - 268
Hlavní autori: Yuhui Liu, Jinzhu Yang, Jinshan Sun
Médium: Konferenčný príspevok..
Jazyk:English
Vydavateľské údaje: IEEE 01.03.2010
Predmet:
Algorithm design and analysis
Biomedical engineering
Biomedical imaging
Computed tomography
Image fusion
Image processing
Medical diagnostic imaging
multiwavelet transform
PET/CT
Positron emission tomography
Wavelet domain
Wavelet transforms
ISBN:1424458455, 9781424458455
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Abstract PET/CT medical image fusion has important clinical significance. As the multiwavelet transform has several particular advantages in comparison with scalar wavelets on image processing, this paper proposes a medical image fusion algorithm based on multiwavelet transform after in-depth study of wavelet theory. The algorithm achieves PET/CT fusion with wavelet coefficients fusion method. Experimental results show that fusion image combines information of the source images, adds more details and texture information, and achieves a good fusion result. Based on the proposed algorithm, we can obtain the best result when using gradient fusion in the low-frequency part and classification fusion in the high-frequency part.
AbstractList PET/CT medical image fusion has important clinical significance. As the multiwavelet transform has several particular advantages in comparison with scalar wavelets on image processing, this paper proposes a medical image fusion algorithm based on multiwavelet transform after in-depth study of wavelet theory. The algorithm achieves PET/CT fusion with wavelet coefficients fusion method. Experimental results show that fusion image combines information of the source images, adds more details and texture information, and achieves a good fusion result. Based on the proposed algorithm, we can obtain the best result when using gradient fusion in the low-frequency part and classification fusion in the high-frequency part.
Author Jinshan Sun
Yuhui Liu
Jinzhu Yang
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  surname: Jinshan Sun
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  email: sunjinshan@neusoft.com
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Snippet PET/CT medical image fusion has important clinical significance. As the multiwavelet transform has several particular advantages in comparison with scalar...
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StartPage 264
SubjectTerms Algorithm design and analysis
Biomedical engineering
Biomedical imaging
Computed tomography
Image fusion
Image processing
Medical diagnostic imaging
multiwavelet transform
PET/CT
Positron emission tomography
Wavelet domain
Wavelet transforms
Title PET/CT medical image fusion algorithm based on multiwavelet transform
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