ELECTROMAGNETISM, OPTICS, ACOUSTICS, HEAT TRANSFER, CLASSICAL MECHANICS, AND FLUID DYNAMICS |
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Adaptive optimization on ultrasonic transmission tomography-based temperature image for biomedical treatment |
Yun-Hao Zhu(朱昀浩)1, Jie Yuan(袁杰)1, Stephen Z Pinter2, Oliver D Kripfgans2, Qian Cheng(程茜)4, Xue-Ding Wang(王学鼎)4, Chao Tao(陶超)3, Xiao-Jun Liu(刘晓峻)3, Guan Xu(徐冠)2, Paul L Carson2 |
1 School of Electronic Science and Engineering, Nanjing University, Nanjing 210093, China;
2 Department of Radiology, University of Michigan, Ann Arbor, MI, USA;
3 School of Physics, Nanjing University, Nanjing 210093, China;
4 School of Physics, Tongji University, Shanghai 200092, China |
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Abstract Hyperthermia has proven to be beneficial to treating superficial malignancies, particularly chest wall recurrences of breast cancer. During hyperthermia, monitoring the time-temperature profiles in the target and surrounding areas is of great significance for the effect of therapy. An ultrasound-based temperature imaging method has advantages over other approaches. When the temperature around the tumor is calculated by using the propagation speed of ultrasound, there always exist overshoot artifacts along the boundary between different tissues. In this paper, we present a new method combined with empirical mode decomposition (EDM), similarity constraint, and continuity constraint to optimize the temperature images. Simulation and phantom experiment results compared with those from our previously proposed method prove that the EMD-based method can build a better temperature field image, which can adaptively yield better temperature images with less computation for assistant medical treatment control.
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Received: 06 December 2016
Revised: 09 March 2017
Accepted manuscript online:
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PACS:
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43.35.Wa
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(Biological effects of ultrasound, ultrasonic tomography)
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43.80.Sh
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(Medical use of ultrasonics for tissue modification (permanent and temporary))
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81.70.Cv
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(Nondestructive testing: ultrasonic testing, photoacoustic testing)
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Fund: Project supported by the DoD/BCRP Idea Award BC095397P1, the National Natural Science Foundation of China (Grant No. 61201425), and the Priority Academic Program Development of Jiangsu Higher Education Institutions, China. |
Corresponding Authors:
Jie Yuan
E-mail: yuanjie@nju.edu.cn
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Cite this article:
Yun-Hao Zhu(朱昀浩), Jie Yuan(袁杰), Stephen Z Pinter, Oliver D Kripfgans, Qian Cheng(程茜), Xue-Ding Wang(王学鼎), Chao Tao(陶超), Xiao-Jun Liu(刘晓峻), Guan Xu(徐冠), Paul L Carson Adaptive optimization on ultrasonic transmission tomography-based temperature image for biomedical treatment 2017 Chin. Phys. B 26 064301
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