Ultrasound Tomography-Guide TRM Technique for Breast Tumor Detecting in MITAT System

Chen, G. P.; Zhao, Zhiqin

doi:10.1163/156939310792149650

Cited by 8 publications

(5 citation statements)

References 12 publications

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“…The application of TRM in MITAT was initially suggested by Xu and Wang [27]. Then it was extend to TRM-PSTD in MITAT by Chen and Zhao et al [28].…”

Section: Numerical Simulationsmentioning

confidence: 99%

An Integrated Simulation Approach and Experimental Research on Microwave Induced Thermo-Acoustic Tomography System

Song¹,

Zhao²,

Wang³

et al. 2013

PIER

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Abstract-Microwave induced thermo-acoustic tomography (MI-TAT) has great potential in early breast cancer detection because it utilizes the advantages of both microwave imaging and ultrasound imaging. In this paper, a fast and efficient simulation approach based on a hybrid method which combines finite integration time domain (FITD) method and pseudo-spectral time domain (PSTD) method is developed. By using this approach, energy deposition of biology tissue illuminated by electromagnetic fields can be accurately simulated. Meanwhile, acoustic properties of the tissue can be efficiently simulated as well. Based on this approach, a MITAT model is created and some simulated results are analyzed. Furthermore, some real breast tissues are adopted to perform the thermo-acoustic imaging experiment. Comparisons between experimental and simulated results are made. The feasibility and effectiveness of the proposed approach are demonstrated by both numerical simulations and experimental results.

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“…The application of TRM in MITAT was initially suggested by Xu and Wang [27]. Then it was extend to TRM-PSTD in MITAT by Chen and Zhao et al [28].…”

Section: Numerical Simulationsmentioning

confidence: 99%

An Integrated Simulation Approach and Experimental Research on Microwave Induced Thermo-Acoustic Tomography System

Song¹,

Zhao²,

Wang³

et al. 2013

PIER

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“…The WD can be a good supplementary preprocessor of the HHT since it is suitable for the extraction of the first harmonic and requires less computation than other supplementary methods. During the operation of WD [17,18], the original JEM signal is divided into an approximation component (A1) and a detail component (D1) through a low-band filter (LF) and a high-band filter (HF), respectively. Then the A1 is further split into AA2 and AD2 at the decomposition level 2.…”

Section: Modified Hhtmentioning

confidence: 99%

Modified Hilbert-Huang Transform and Its Application to Measured Micro Doppler Signatures From Realistic Jet Engine Models

Park¹,

Lim²,

Myung³

2012

PIER

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Abstract-Joint time-frequency analysis (JTFA) is applied to micro Doppler signatures generated by jet engine modulation (JEM) effect using a modified Hilbert-Huang transform (HHT). The modified HHT is developed to improve the JTFA results of measured JEM signals. Wavelet decomposition (WD) with Meyer wavelet function is considered as a supplementary process of the HHT. The modified HHT examines a signature obtained from simulation of a jet engine CAD model, and is then applied to the signatures obtained from measurement of two realistic jet engine models. The modified HHT gives more improved JTFA results of the measured JEM signals than those from the simple short-time Fourier transform -(STFT) based analysis. The modified HHT-based JTFA approach is expected to be significantly useful for enabling high-quality radar target recognition in a real environment by complementing other traditional analyses.

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“…With this, we end up this section with the following remark. Remark 3.1 From the structure (9), we can observe following: • J 0 (x) has its maximum value at x = 0 so that d T J (z) reaches its minimum value at z = y ∈ Γ due to the minus sign in (11).…”

Section: Analysis Of Topological Derivative Based Imaging Functionmentioning

confidence: 99%

Analysis of Topological Derivative Function for a Fast Electromagnetic Imaging of Perfectly Conducing Cracks

Ma¹,

Kin²,

Park³

2012

PIER

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Abstract-We consider a topological derivative based imaging technique for non-iterative imaging of small and extended perfectly conducting cracks with Dirichlet boundary condition. For this purpose, we introduce topological derivative imaging function based on the asymptotic formula in the existence of narrow crack. We then mathematically analyze its structure in order to investigate why it yields the shape of crack(s). Analyzed structure gives us an optimal condition to get a better image of them. Various numerical experiments support our analysis.

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Ultrasound Tomography-Guide TRM Technique for Breast Tumor Detecting in MITAT System

Cited by 8 publications

References 12 publications

An Integrated Simulation Approach and Experimental Research on Microwave Induced Thermo-Acoustic Tomography System

An Integrated Simulation Approach and Experimental Research on Microwave Induced Thermo-Acoustic Tomography System

Modified Hilbert-Huang Transform and Its Application to Measured Micro Doppler Signatures From Realistic Jet Engine Models

Analysis of Topological Derivative Function for a Fast Electromagnetic Imaging of Perfectly Conducing Cracks

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