Adaptive optimization on ultrasonic transmission tomography-based temperature image for biomedical treatment
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-bas...
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| Published in | Chinese physics B Vol. 26; no. 6; pp. 197 - 202 |
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| Main Author | |
| Format | Journal Article |
| Language | English |
| Published |
01.06.2017
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| Online Access | Get full text |
| ISSN | 1674-1056 2058-3834 |
| DOI | 10.1088/1674-1056/26/6/064301 |
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| Summary: | 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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| Bibliography: | Yun-Hao Zhu1, Jie Yuan1, Stephen Z Pinter2, Oliver D Kripfgans2, Qian Cheng4, Xue-Ding Wang4, Chao Tao3, Xiao-Jun Liu3, Guan Xu2,Paul L Carson2（1 School of Electronic Science and Engineering, Nanjing University, Nanjing 210093, China ; 2Department of Radiology, University of Michigan, Ann Arbor, MI, USA ; 3School of Physics, Nanjing University, Nanjing 210093, China ; 4School of Physics, Tongji University, Shanghai 200092, China） temperature imaging, empirical mode decomposition, ultrasound transmission tomography 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. 11-5639/O4 |
| ISSN: | 1674-1056 2058-3834 |
| DOI: | 10.1088/1674-1056/26/6/064301 |