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Thermal Problems and Methods in Invasive Microwave Coagulation Therapy
Qun Nan,Jianshu Peng,Youjun Liu,Yi Zengon 대한의료정보학회 2007 Healthcare Informatics Research Vol.13 No.2
Objective: To study some thermal problems in invasive microwave coagulation (IMC) therapy. Methods: Temperature fields predicts, limitation and remedy methods of the Pennes bioheat transfer equation during the temperature distribution analyses and how to kill a large anomalistic tumor for only once were discussed. Results: The coagulation area between the simulations and actual measured results showed good correspondence. Blood flow influenced the rise in temperature significantly. Conclusions: Thermal distribution with computer simulation in invasive microwave coagulation therapy is an accurate and reliable method. (Journal of Korean Society of Medical Informatics 13-2, 159-163, 2007)
Multi-modal Medical Image Fusion Based on the Multiwavelet and Nonsubsampled Direction Filter Bank
Peng Geng,Xing Su,Tan Xu,Jianshu Liu 보안공학연구지원센터 2015 International Journal of Signal Processing, Image Vol.8 No.11
Aiming at solving the fusion problem of multimodal medical images, a novel medical image fusion algorithm is present in this paper. The multiwavelet is combined with the NSDFB to construct the proposed Multi-NSDFB transform. The source images can be decomposed into several lowpass coefficient and highpass coefficient. And all coefficients can be decomposed into four direction subbands. The modified spatial frequency is adopted to motivate the pulse coupled neural network to select the every direction subbands coefficients. Experiment results demonstrate that the proposed algorithm can not only extract more important visual information from source images, but also effectively avoid the introduction of artificial information. The present scheme outperforms the redundant discrete wavelet transform-based, and the Ripplet transform-based in terms of both visual quality and objective evaluation.