Adaptive optimization on ultrasonic transmission tomography-based temperature image for biomedical treatment

Zhu, Yun; Yuan, Jie; Pintér, Š.; Kripfgans, Oliver D.; Cheng, Qian; Wang, Xue Ding; Tao, Chao; Liu, Xiao Jun; Xu, Guan; Carson, Paul L.

doi:10.1088/1674-1056/26/6/064301

Cited by 6 publications

(4 citation statements)

References 36 publications

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“…In our proposed method, we apply the de-convolved signal to EMD and refactor it with two constraints, positive polarity and spectrum consistence. Given that EMD can only process one-dimensional signals at a time, a one-dimensional signal 1 ( ) (detected by a single transducer element of the probe) of de-convolved signal o( ) should be considered as an example, the procedure [19] is described in detail as follows: The principle of EMD [18], is to decompose a signal into several intrinsic mode functions (IMFs) without setting any basis function in advance, and each of them reserves the local features of the original signal with different time scales. Given that different IMFs possess different features, we were able to rebuild new signals to meet our requirements by depressing some of the IMFs and enhancing other IMFs.…”

Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

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Biomedical Photoacoustic Imaging Optimization with Deconvolution and EMD Reconstruction

et al. 2018

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A photoacoustic (PA) signal of an ideal optical absorbing particle is a single N-shape wave. PA signals are a combination of several individual N-shape waves. However, the N-shape wave basis leads to aliasing between adjacent micro-structures, which deteriorates the quality of final PA images. In this paper, we propose an image optimization method by processing raw PA signals with deconvolution and empirical mode decomposition (EMD). During the deconvolution procedure, the raw PA signals are de-convolved with a system dependent deconvolution kernel, which is measured in advance. EMD is subsequently adopted to further process the PA signals adaptively with two restrictive conditions: positive polarity and spectrum consistency. With this method, signal aliasing is alleviated, and the micro-structures and detail information, previously buried in the reconstructing images, can now be revealed. To validate our proposed method, numerical simulations and phantom studies are implemented, and reconstructed images are used for illustration.

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Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Biomedical Photoacoustic Imaging Optimization with Deconvolution and EMD Reconstruction

et al. 2018

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“…In our study, the temperature control is necessary for the constant temperature hyperthermia system. Due to the available relationship between temperature and SOS (temperature and SOS vary in direct proportion) [36], the temperature monitoring in the medium is realized by the SOS imaging.…”

Section: Speed Of Sound Imagingmentioning

confidence: 99%

Temperature-Controlled Hyperthermia with Non-Invasive Temperature Monitoring through Speed of Sound Imaging

et al. 2023

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Hyperthermia therapy (HT) is used to treat diseases through heating of high temperature usually in conjunction with some other medical therapeutics such as chemotherapy and radiotherapy. In this study, we propose a promising temperature-controlled hyperthermia method that uses high-intensity focused ultrasound (HIFU) for clinical tumor treatment combined with diagnostic ultrasound image guidance and non-invasive temperature monitoring through speed of sound (SOS) imaging. HIFU heating is realized by a ring ultrasound transducer array with 256 elements. In this study, tumors in the human thigh were set as heating targets. The inner structure information of thigh tissue is obtained by B-mode ultrasound imaging. Since the relationship between temperature and SOS in different human tissue is available, the temperature detection is converted to the SOS detection obtained by the full-wave inversion (FWI) method. Simulation results show that our model can achieve expected hyperthermia of constant temperature on tumor target with 0.2 °C maximum temperature fluctuation for 5 h. Through simulation, our proposed thermal therapy model achieves accurate temperature control of ±0.2 °C in human thigh tumors, which verifies the feasibility of the proposed temperature-controlled hyperthermia model. Furthermore, the temperature measurement can share the same ring ultrasound transducer array for HIFU heating and B-mode ultrasound imaging, which provides a guiding significance for clinical application.

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“…This map is very useful in nondestructive testing, [1,2] geophysics [3] or medical diagnosis. [4,5] In many practical cases, the region of interest is not composed of homogeneous media but of layered media. It is of great interest to improve the calculating capability of layered model to obtain more information about the inspected region.…”

Section: Introductionmentioning

confidence: 99%

Characteristic analysis of scattering field in two-layer media by Green’s function

et al. 2022

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The problem of three-dimensional (3D) acoustic scattering in complicated medium has been of considerable interest to researchers for many years. An ultrasonic scattered field calculating technique is proposed to study the scattering echo from strongly scattered materials in a two-layer medium. Firstly, with the high frequency stationary phase method, the Green's function of two-layer fluid media is derived. And then based on the idea of integral equation discretization, the Green’s function method is extended to two-layer fluid media to get the scattering field expression of defects in complicated medium. With this method, the scattering field of 3D defect in a two-layer medium is calculated and the characteristics of received echoes are studied. The results show that this method is able to solve the scattering P wave field of 3D defect with arbitrary shape at any scattering intensity in two-layer media. Considering the circumstance of water-immersion ultrasonic non-destructive test(NDT), the scattering sound field characteristics of different types of defects are analyzed by simulation, which will help to optimize the detection scheme and corresponding imaging method in practice, so as to improve the detection quality.

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Adaptive optimization on ultrasonic transmission tomography-based temperature image for biomedical treatment

Cited by 6 publications

References 36 publications

Biomedical Photoacoustic Imaging Optimization with Deconvolution and EMD Reconstruction

Biomedical Photoacoustic Imaging Optimization with Deconvolution and EMD Reconstruction

Temperature-Controlled Hyperthermia with Non-Invasive Temperature Monitoring through Speed of Sound Imaging

Characteristic analysis of scattering field in two-layer media by Green’s function

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